Fully funded PhD position on "Integration of symbolic knowledge into deep learning", Inria, France
Dear list,
Inria is offering a fully funded PhD position on "Integration of
symbolic knowledge into deep learning". For details and to apply, see:
https://jobs.inria.fr/public/classic/en/offres/2019-01676
Applications will be reviewed on a continuous basis until June 21.
Best,
--
Emmanuel Vincent
Senior Research Scientist & Deputy Head of Science
Inria Nancy - Grand Est
615 rue du Jardin Botanique, 54600 Villers-lès-Nancy, France
Phone: +33 3 8359 3083 - Fax: +33 3 8327 8319
Web: http://members.loria.fr/evincent/
✔️ @ApplyTime
Dear list,
Inria is offering a fully funded PhD position on "Integration of
symbolic knowledge into deep learning". For details and to apply, see:
https://jobs.inria.fr/public/classic/en/offres/2019-01676
Applications will be reviewed on a continuous basis until June 21.
Best,
--
Emmanuel Vincent
Senior Research Scientist & Deputy Head of Science
Inria Nancy - Grand Est
615 rue du Jardin Botanique, 54600 Villers-lès-Nancy, France
Phone: +33 3 8359 3083 - Fax: +33 3 8327 8319
Web: http://members.loria.fr/evincent/
✔️ @ApplyTime
Inria
PhD Position F/M Integration of symbolic knowledge into deep learning
Offre d'emploi Inria
Post-Doctorate Researcher / Academic Associate UAS
The HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, is recruiting for the HETS School of Social Work a: POST-DOCTORATE RESEARCHER / ACADEMIC ASSOCIATE UAS in social sciences specialised in mixed methods, at 70%
The associated researcher will work on a 36 month project on the life course of children of migrants and their transition to adulthood. This project is part of the NCCR LIVES. The team is composed of Professors Claudio Bolzman, Milena Chimienti and Jean-Marie Le Goff.
Mission:
Quantitative analysison existing data basis (LIVES-FORS-COHORT and TREE) in the fieldof the transition to adulthood of children of migrants;
Conducting andanalysing qualitative interviews in different cities in Switzerland;
Managing a team of interviewers.Profile:
PhD in social sciences with a specialisation in mixed methods;
Expertise in quantitative and qualitative methods;
Knowledge on migration studies, youth and life course research would be a plus, ideally previous field experience;
Fluent in French and English, knowledge in German would be a plus;
Ability to work as partof a team and independently;
Good organisation skills.
Characteristics of the position:
The successful candidate will be initially offered a 1 year contract, renewabletwice (36 months in total), subject to Swiss private law and the SNSF salary scale.
Deadline for applications:15.06.2019
Starting date: 01.09.2019
Workplaces: University of Applied Sciences and Arts, School of Social Work and Universityof Lausanne
The HES-SO Geneva / HETS and UNIL are an equal opportunity employer and in favour of diversity.
Please submit your full application (CV and Cover letter of academic degrees) by mail to rh.hets@hesge.ch
For additional information, please contact Prof. Chimienti at the following email address: Milena.Chimienti@hesge.ch
✔️ @ApplyTime
The HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, is recruiting for the HETS School of Social Work a: POST-DOCTORATE RESEARCHER / ACADEMIC ASSOCIATE UAS in social sciences specialised in mixed methods, at 70%
The associated researcher will work on a 36 month project on the life course of children of migrants and their transition to adulthood. This project is part of the NCCR LIVES. The team is composed of Professors Claudio Bolzman, Milena Chimienti and Jean-Marie Le Goff.
Mission:
Quantitative analysison existing data basis (LIVES-FORS-COHORT and TREE) in the fieldof the transition to adulthood of children of migrants;
Conducting andanalysing qualitative interviews in different cities in Switzerland;
Managing a team of interviewers.Profile:
PhD in social sciences with a specialisation in mixed methods;
Expertise in quantitative and qualitative methods;
Knowledge on migration studies, youth and life course research would be a plus, ideally previous field experience;
Fluent in French and English, knowledge in German would be a plus;
Ability to work as partof a team and independently;
Good organisation skills.
Characteristics of the position:
The successful candidate will be initially offered a 1 year contract, renewabletwice (36 months in total), subject to Swiss private law and the SNSF salary scale.
Deadline for applications:15.06.2019
Starting date: 01.09.2019
Workplaces: University of Applied Sciences and Arts, School of Social Work and Universityof Lausanne
The HES-SO Geneva / HETS and UNIL are an equal opportunity employer and in favour of diversity.
Please submit your full application (CV and Cover letter of academic degrees) by mail to rh.hets@hesge.ch
For additional information, please contact Prof. Chimienti at the following email address: Milena.Chimienti@hesge.ch
✔️ @ApplyTime
Two Research Fellow Positions in robot learning and manipulation @ L-CAS, Lincoln, UK
Dear colleagues,
We are looking to recruit two Postdoctoral Research Fellows with research profiles in robotics, robot learning, teleoperation and shared control, robot perception, robot grasping, robot motion planning to join our growing robotics research team at Lincoln Centre for Autonomous Systems Research (L-CAS), University of Lincoln.
Please apply here: https://jobs.lincoln.ac.uk/vacancy.aspx?ref=COS631A
Closing Date: Tuesday 11 June 2019
Salary: From £33,199 per annum
This post is full time and fixed term until 31st March 2021, but renewal of contract at the end of the term is possible
The successful candidates will work within the CHIST-ERA funded HEAP project (and related projects), which is a European consortium that investigates robotic sorting of unstructured heaps of unknown objects. The consortium consists of the University of Lincoln (leading), TU Wien (Markus Vinze), IDIAP in Switzerland (Jean-Marc Odobez), INRIA Nancy (Serena Ivaldi) and IIT in Italy (Lorenzo Natale). Our team will investigate novel robot manipulation and machine learning algorithms that can learn from human guidance and shared control. Robotic heap sorting is of interest for many applications, such as nuclear decommissioning, recycling and manufacturing. The work will also be highly aligned with the National Center for Nuclear Robotics (NCNR) where Lincoln is a core partner. We offer excellent opportunities to develop a strong individual research portfolio while being engaged in impactful and exciting research solving real-world problems of great societal need. Moreover, you will have access to state-of-the-art research robot equipment consisting of cutting-edge robot arms.
We are looking to recruit postdoctoral researchers with relevant experience and/or a keen interest in a number of research areas, including (but not limited to):
- Robot Grasping and Manipulation
- Teleoperation and Shared Control
- Robot Vision and Perception
- Learning from Demonstrations
- Reinforcement Learning
- Learning from Human Feedback
You will be placed at the centre of this exciting project, collaborating closely with other researchers and universities, taking a leading role in the research, development, integration and orchestration of the overall system, with a focus on algorithm development and software development.
Applicants should have or expect to soon obtain, a PhD in a relevant area. You must have excellent mathematical and coding skills (C++/Python, ROS). This opportunity allows you to engage in international collaboration within an ambitious team, to work with state-of-the-art robotic hardware and software, and to benefit from excellent support to produce and disseminate original research contributions in the leading international conferences and journals.
You will also contribute to the University's ambition to achieve international recognition as a research intensive institution and will be expected to design, conduct and manage original research in the above subject areas as well contribute to the wider activities of the Lincoln Centre for Autonomous Systems (L-CAS). Evidence of authorship of research outputs of international standing is essential, as is the ability to work collaboratively as part of a team, including excellent written and spoken communication skills. Opportunities to mentor and co-supervise PhD students working in the project team will also be available to outstanding candidates.
Informal enquiries about the post can be made to Prof. Gerhard Neumann (email: gneumann@lincoln.ac.uk) and Dr. Ayse Kucukyilmaz (AKucukyilmaz@lincoln.ac.uk).
✔️ @ApplyTime
Dear colleagues,
We are looking to recruit two Postdoctoral Research Fellows with research profiles in robotics, robot learning, teleoperation and shared control, robot perception, robot grasping, robot motion planning to join our growing robotics research team at Lincoln Centre for Autonomous Systems Research (L-CAS), University of Lincoln.
Please apply here: https://jobs.lincoln.ac.uk/vacancy.aspx?ref=COS631A
Closing Date: Tuesday 11 June 2019
Salary: From £33,199 per annum
This post is full time and fixed term until 31st March 2021, but renewal of contract at the end of the term is possible
The successful candidates will work within the CHIST-ERA funded HEAP project (and related projects), which is a European consortium that investigates robotic sorting of unstructured heaps of unknown objects. The consortium consists of the University of Lincoln (leading), TU Wien (Markus Vinze), IDIAP in Switzerland (Jean-Marc Odobez), INRIA Nancy (Serena Ivaldi) and IIT in Italy (Lorenzo Natale). Our team will investigate novel robot manipulation and machine learning algorithms that can learn from human guidance and shared control. Robotic heap sorting is of interest for many applications, such as nuclear decommissioning, recycling and manufacturing. The work will also be highly aligned with the National Center for Nuclear Robotics (NCNR) where Lincoln is a core partner. We offer excellent opportunities to develop a strong individual research portfolio while being engaged in impactful and exciting research solving real-world problems of great societal need. Moreover, you will have access to state-of-the-art research robot equipment consisting of cutting-edge robot arms.
We are looking to recruit postdoctoral researchers with relevant experience and/or a keen interest in a number of research areas, including (but not limited to):
- Robot Grasping and Manipulation
- Teleoperation and Shared Control
- Robot Vision and Perception
- Learning from Demonstrations
- Reinforcement Learning
- Learning from Human Feedback
You will be placed at the centre of this exciting project, collaborating closely with other researchers and universities, taking a leading role in the research, development, integration and orchestration of the overall system, with a focus on algorithm development and software development.
Applicants should have or expect to soon obtain, a PhD in a relevant area. You must have excellent mathematical and coding skills (C++/Python, ROS). This opportunity allows you to engage in international collaboration within an ambitious team, to work with state-of-the-art robotic hardware and software, and to benefit from excellent support to produce and disseminate original research contributions in the leading international conferences and journals.
You will also contribute to the University's ambition to achieve international recognition as a research intensive institution and will be expected to design, conduct and manage original research in the above subject areas as well contribute to the wider activities of the Lincoln Centre for Autonomous Systems (L-CAS). Evidence of authorship of research outputs of international standing is essential, as is the ability to work collaboratively as part of a team, including excellent written and spoken communication skills. Opportunities to mentor and co-supervise PhD students working in the project team will also be available to outstanding candidates.
Informal enquiries about the post can be made to Prof. Gerhard Neumann (email: gneumann@lincoln.ac.uk) and Dr. Ayse Kucukyilmaz (AKucukyilmaz@lincoln.ac.uk).
✔️ @ApplyTime
Job Opportunities at the University of Lincoln
Job Opportunity at the University of Lincoln: Post-Doctoral Research Associate in Gaming & Human Machine Interface
The University of Lincoln is pleased to invite applications for a two-year Post-Doctoral Researcher focused on Gaming and Human-Machine Interface (HMI) innovation. This exciting role supports a novel project aimed at transforming the use of wargaming...
Postdoctoral position in fluvial geomorphology and/or stream metabolism - Oregon State University
Dear Colleagues,
Please find a attached a call for a Postdoctoral position in fluvial geomorphology and/or stream metabolism modelling in the Department of Forest Engineering Resources and Management at Oregon State University. This is a 22 month post-doctoral position within a NSF funded project: Assessing the influence of lithology on primary production in mountain streams. For more information and to apply contact Dr. Catalina Segura (segurac@oregonstate.edu).
Warm regards,
Giovanny (Giova) Mosquera
(On behalf of Dr. Catalina Segura)
——————————————————————————————
We are seeking a post-doctoral scholar to work with a team of researchers from Oregon State
University on an NSF funded project: Assessing the influence of lithology on primary production in
mountain streams. This is a 22 month post-doctoral scholar position based at Oregon State
University. We seek a motivated and collaborative scientist with experience in fluvial
geomorphology and or stream metabolism modelling. The postdoctoral scholar will be expected
to lead efforts in quantifying the relationship between sediment transport and geomorphologic
setting and stream ecosystem processes (focusing on stream metabolism). As a member of the
project team she/he will be expected to contribute to other aspects of the project including, data
analysis, preparation of reports, scientific articles, and associated project deliverables. Applicants
must have defended their Ph.D. by the start of the appointment and must have completed their
Ph.D. no more than 5 years ago. The target start-date for this position is between June 1 and
August 1 2019.
Interested applicants should submit the following: (1) Cover letter, (2) C.V., and (3) names and
contact information for three references; One or two examples of published work are welcome
but not required. For more information and to apply, contact Catalina Segura at Oregon State
University (segurac@oregonstate.edu). Please include “Stream post-doc” in the subject line of
the email. Applications will be accepted through June 15 or until filled. Anticipated Salary will
be $48-50K/annually depending in previous experience.
✔️ @ApplyTime
Dear Colleagues,
Please find a attached a call for a Postdoctoral position in fluvial geomorphology and/or stream metabolism modelling in the Department of Forest Engineering Resources and Management at Oregon State University. This is a 22 month post-doctoral position within a NSF funded project: Assessing the influence of lithology on primary production in mountain streams. For more information and to apply contact Dr. Catalina Segura (segurac@oregonstate.edu).
Warm regards,
Giovanny (Giova) Mosquera
(On behalf of Dr. Catalina Segura)
——————————————————————————————
We are seeking a post-doctoral scholar to work with a team of researchers from Oregon State
University on an NSF funded project: Assessing the influence of lithology on primary production in
mountain streams. This is a 22 month post-doctoral scholar position based at Oregon State
University. We seek a motivated and collaborative scientist with experience in fluvial
geomorphology and or stream metabolism modelling. The postdoctoral scholar will be expected
to lead efforts in quantifying the relationship between sediment transport and geomorphologic
setting and stream ecosystem processes (focusing on stream metabolism). As a member of the
project team she/he will be expected to contribute to other aspects of the project including, data
analysis, preparation of reports, scientific articles, and associated project deliverables. Applicants
must have defended their Ph.D. by the start of the appointment and must have completed their
Ph.D. no more than 5 years ago. The target start-date for this position is between June 1 and
August 1 2019.
Interested applicants should submit the following: (1) Cover letter, (2) C.V., and (3) names and
contact information for three references; One or two examples of published work are welcome
but not required. For more information and to apply, contact Catalina Segura at Oregon State
University (segurac@oregonstate.edu). Please include “Stream post-doc” in the subject line of
the email. Applications will be accepted through June 15 or until filled. Anticipated Salary will
be $48-50K/annually depending in previous experience.
✔️ @ApplyTime
PhD / Postdoc Position in NeuroComputing at TU Chemnitz (Germany)
A PostDoc or Ph.D. position is available at the Chemnitz University of Technology in the Department of Computer Science. The position is initially until 31.12.2021, starting as soon as possible. The research position is funded by the state of Saxony AI initiative.
The goal in our project is to develop brain-inspired cognitive architectures, particularly regarding recurrent dynamics in the prefrontal cortex and their shaping by reinforcement learning processes in the basal ganglia. The proposed neuro-computational approach will rely on reward-modulated recurrent networks (reservoir computing) using closed-loop interactions with the basal ganglia and the thalamus. The model will be tested against behavioral and physiological data and its functional properties will be compared to classical machine learning approaches.
The ideal candidate should have prior experience in neural networks, neurocomputing or computational neuroscience and sufficient programming experience. Very good English reading and speaking skills are required. German language skills are not required, but the willingness to learn German would be useful. The salary is according to German standards (E 13 TV-L, 75%). The university is an equal opportunity employer. Women are encouraged to apply. Disabled applicants will receive priority in case they have equal qualifications.
Chemnitz is the third-largest city of the state of Saxony and close to scenic mountains. Major cities nearby are Leipzig and Dresden with a rich tradition of music and culture.
Applications should be sent by email (preferably in PDF format) to (fred.hamker@informatik.tu-chemnitz.de) as soon as possible. Applications will be considered until the position is filled.
Prof. Dr. Fred Hamker
Künstliche Intelligenz
Fakultät für Informatik
TU Chemnitz
09107 Chemnitz
www: https://www.tu-chemnitz.de/informatik/KI/index.php.en
✔️ @ApplyTime
A PostDoc or Ph.D. position is available at the Chemnitz University of Technology in the Department of Computer Science. The position is initially until 31.12.2021, starting as soon as possible. The research position is funded by the state of Saxony AI initiative.
The goal in our project is to develop brain-inspired cognitive architectures, particularly regarding recurrent dynamics in the prefrontal cortex and their shaping by reinforcement learning processes in the basal ganglia. The proposed neuro-computational approach will rely on reward-modulated recurrent networks (reservoir computing) using closed-loop interactions with the basal ganglia and the thalamus. The model will be tested against behavioral and physiological data and its functional properties will be compared to classical machine learning approaches.
The ideal candidate should have prior experience in neural networks, neurocomputing or computational neuroscience and sufficient programming experience. Very good English reading and speaking skills are required. German language skills are not required, but the willingness to learn German would be useful. The salary is according to German standards (E 13 TV-L, 75%). The university is an equal opportunity employer. Women are encouraged to apply. Disabled applicants will receive priority in case they have equal qualifications.
Chemnitz is the third-largest city of the state of Saxony and close to scenic mountains. Major cities nearby are Leipzig and Dresden with a rich tradition of music and culture.
Applications should be sent by email (preferably in PDF format) to (fred.hamker@informatik.tu-chemnitz.de) as soon as possible. Applications will be considered until the position is filled.
Prof. Dr. Fred Hamker
Künstliche Intelligenz
Fakultät für Informatik
TU Chemnitz
09107 Chemnitz
www: https://www.tu-chemnitz.de/informatik/KI/index.php.en
✔️ @ApplyTime
www.tu-chemnitz.de
Professorship | Professorship Artificial Intelligence | Department of Computer Science | TU Chemnitz
Post-doc Position in Open-Ended Deep Reinforcement Learning
We have an opening for a post-doc position in my lab (http://fias.uni-frankfurt.de/en/neuro/triesch) at the Frankfurt Institute for Advanced Studies (FIAS) to study Open-Ended Deep Reinforcement Learning in simulated robots. We study systems that effectively learn to control their bodies and their environment by defining their own learning goals, practicing the skills for achieving these goals and setting themselves progressively harder goals. The work will be performed in the context of the European GOAL-Robots project (http://www.goal-robots.eu). For a quick overview of the project, check out this video: https://youtu.be/sordZmyp8u8. The focus of this post-doc position will be on simulated humanoids learning visually guided object interaction.
We are seeking an outstanding and highly motivated post-doc for this project. Applicants should have obtained a PhD in Machine Learning, Robotics, or a closely related field. The ideal candidate will have excellent programming and analytic skills and a broad knowledge of machine learning, robotics, and vision. An interest in cognitive development in human infants is a plus.
The Frankfurt Institute for Advanced Studies (https://fias.institute/en/) is a research institution dedicated to fundamental theoretical research in various areas of science. The city of Frankfurt is the hub of one of the most vibrant metropolitan areas in Europe. It boasts a rich culture and arts community and repeatedly earns high rankings in worldwide surveys of quality of living.
Applications should be sent as a single pdf file to triesch@fias.uni-frankfurt.de. Please include a brief statement of research interests, CV, and contact information for at least two references. The position can be filled immediately and applications will be reviewed on a continuing basis. The initial appointment will be for one year.
--
Prof. Dr. Jochen Triesch
Johanna Quandt Research Professor
Frankfurt Institute for Advanced Studies
http://fias.uni-frankfurt.de/~triesch/
✔️ @ApplyTime
We have an opening for a post-doc position in my lab (http://fias.uni-frankfurt.de/en/neuro/triesch) at the Frankfurt Institute for Advanced Studies (FIAS) to study Open-Ended Deep Reinforcement Learning in simulated robots. We study systems that effectively learn to control their bodies and their environment by defining their own learning goals, practicing the skills for achieving these goals and setting themselves progressively harder goals. The work will be performed in the context of the European GOAL-Robots project (http://www.goal-robots.eu). For a quick overview of the project, check out this video: https://youtu.be/sordZmyp8u8. The focus of this post-doc position will be on simulated humanoids learning visually guided object interaction.
We are seeking an outstanding and highly motivated post-doc for this project. Applicants should have obtained a PhD in Machine Learning, Robotics, or a closely related field. The ideal candidate will have excellent programming and analytic skills and a broad knowledge of machine learning, robotics, and vision. An interest in cognitive development in human infants is a plus.
The Frankfurt Institute for Advanced Studies (https://fias.institute/en/) is a research institution dedicated to fundamental theoretical research in various areas of science. The city of Frankfurt is the hub of one of the most vibrant metropolitan areas in Europe. It boasts a rich culture and arts community and repeatedly earns high rankings in worldwide surveys of quality of living.
Applications should be sent as a single pdf file to triesch@fias.uni-frankfurt.de. Please include a brief statement of research interests, CV, and contact information for at least two references. The position can be filled immediately and applications will be reviewed on a continuing basis. The initial appointment will be for one year.
--
Prof. Dr. Jochen Triesch
Johanna Quandt Research Professor
Frankfurt Institute for Advanced Studies
http://fias.uni-frankfurt.de/~triesch/
✔️ @ApplyTime
Goal-based Open ended Autonomous Learning Robots
Home - Goal-based Open ended Autonomous Learning Robots
Home - Goal-based Open ended Autonomous Learning Robots |
Research Assistant & Post-doctoral Researcher positions in Social Neuroscience, Politics & Visual Culture
The team of Professor Manos Tsakiris who leads the ‘Body & Image in Arts & Science’ project (http://manostsakiris.com/index.php/research/bias/) at the The Warburg Institute (Part of the School of Advanced Study, University of London) are now recruiting for two full time, one year Research Assistant & Post-doctoral Researcher for the BIAS Project. The post will start on 1st September 2019 or soon thereafter and will last till 31st August 2020.
“Body & Image in Arts & Sciences Project” (BIAS)
The BIAS project aims at addressing timely research questions at the intersection of sciences and humanities with a particular focus on the biological mechanisms and cultural factors that shape our relations to other people in a culture powered by images. In particular, the BIAS project is focused on how we bodily and cognitively respond to photojournalistic images of human suffering, the dehumanization of social groups in the media, bodily responses to works of art, and one important overarching theme is the role of such processes for socio-political behaviour. The research aims will be addressed by a range of research activities, including experimental work, seminars, workshops, conferences, and, involving a network of international research partners in humanities, philosophy, psychology, and neuroscience. A sample of our recent work can be found here: psyarxiv.com/y69sq
Applicants for the Post-doctoral Position must have (or be expected to have submitted by the start date of the position) a PhD in Psychology, Neuroscience or a related discipline. Strong experience in the areas of social-affective neuroscience and/or political psychology is essential. Successful applicants will have strong skills in experimental design, programming, data management and statistics of behavioural and psychophysiological data. Experience with fMRI and/or EEG are highly desirable. The post-holder’s main duties and responsibilities will be to (i) initiate new lines of research as part of the BIAS project, (ii) design and implement online and lab-based experiments and (iii) contribute to the overall activities of the team.
The post-holder must also be prepared to acquire, with the guidance of the investigator, knowledge of theoretical issues in humanities, including history of culture and philosophy of mind/ perception. He/she will have access to a newly-formed psychophysiology laboratory at the Warburg Institute, as well as access to functional neuroimaging facilities at Royal Holloway, University of London and/or School of Advanced Study.
Applicants for the Research Assistant position must have academic qualifications (BSc, MSc in Psychology and/or Cognitive Neuroscience). He/she will have access to a newly-formed psychophysiology laboratory at the Warburg Institute, and will assist mainly with participant recruitment, data collection, data analysis and preparation of scientific publications, presentations and the digital dissemination of the key findings and activities.
The posts will start on 1st September 2019 or soon thereafter.
The posts are full-time for one year (September 2019 to August 2020) associated with the project “Body & Image in Arts & Sciences” (BIAS), http://manostsakiris.com/index.php/research/bias/ led by Professor Manos Tsakiris, and funded by the NOMIS Foundation.
To apply for the Post-doctoral position , please visit https://www.jobs.london.ac.uk/displayjob.aspx?jobid=1438 (deadline 1st July 2019)
To apply for the Research Assistant position , please visit https://www.jobs.london.ac.uk/displayjob.aspx?jobid=1422 (deadline 16th June 2019)
✔️ @ApplyTime
The team of Professor Manos Tsakiris who leads the ‘Body & Image in Arts & Science’ project (http://manostsakiris.com/index.php/research/bias/) at the The Warburg Institute (Part of the School of Advanced Study, University of London) are now recruiting for two full time, one year Research Assistant & Post-doctoral Researcher for the BIAS Project. The post will start on 1st September 2019 or soon thereafter and will last till 31st August 2020.
“Body & Image in Arts & Sciences Project” (BIAS)
The BIAS project aims at addressing timely research questions at the intersection of sciences and humanities with a particular focus on the biological mechanisms and cultural factors that shape our relations to other people in a culture powered by images. In particular, the BIAS project is focused on how we bodily and cognitively respond to photojournalistic images of human suffering, the dehumanization of social groups in the media, bodily responses to works of art, and one important overarching theme is the role of such processes for socio-political behaviour. The research aims will be addressed by a range of research activities, including experimental work, seminars, workshops, conferences, and, involving a network of international research partners in humanities, philosophy, psychology, and neuroscience. A sample of our recent work can be found here: psyarxiv.com/y69sq
Applicants for the Post-doctoral Position must have (or be expected to have submitted by the start date of the position) a PhD in Psychology, Neuroscience or a related discipline. Strong experience in the areas of social-affective neuroscience and/or political psychology is essential. Successful applicants will have strong skills in experimental design, programming, data management and statistics of behavioural and psychophysiological data. Experience with fMRI and/or EEG are highly desirable. The post-holder’s main duties and responsibilities will be to (i) initiate new lines of research as part of the BIAS project, (ii) design and implement online and lab-based experiments and (iii) contribute to the overall activities of the team.
The post-holder must also be prepared to acquire, with the guidance of the investigator, knowledge of theoretical issues in humanities, including history of culture and philosophy of mind/ perception. He/she will have access to a newly-formed psychophysiology laboratory at the Warburg Institute, as well as access to functional neuroimaging facilities at Royal Holloway, University of London and/or School of Advanced Study.
Applicants for the Research Assistant position must have academic qualifications (BSc, MSc in Psychology and/or Cognitive Neuroscience). He/she will have access to a newly-formed psychophysiology laboratory at the Warburg Institute, and will assist mainly with participant recruitment, data collection, data analysis and preparation of scientific publications, presentations and the digital dissemination of the key findings and activities.
The posts will start on 1st September 2019 or soon thereafter.
The posts are full-time for one year (September 2019 to August 2020) associated with the project “Body & Image in Arts & Sciences” (BIAS), http://manostsakiris.com/index.php/research/bias/ led by Professor Manos Tsakiris, and funded by the NOMIS Foundation.
To apply for the Post-doctoral position , please visit https://www.jobs.london.ac.uk/displayjob.aspx?jobid=1438 (deadline 1st July 2019)
To apply for the Research Assistant position , please visit https://www.jobs.london.ac.uk/displayjob.aspx?jobid=1422 (deadline 16th June 2019)
✔️ @ApplyTime
PsyArXiv
When the lens is too wide: the visual dehumanization of refugees and its political consequences
Photojournalistic images shape our understanding of sociopolitical events. The ways in which humans are depicted in images may have far-reaching consequences for our attitudes towards them, their well-being and our sociopolitical systems. Here, we focus on…
Research Associate in Multimodal Machine Learning - Imperial College London
Salary: £37,486 to £46,499 Per annum
Closing Date: 3rd July 2019
For further information and to apply: https://www.imperial.ac.uk/jobs/denoscription/ENG00862/research-associate-multimodal-machine-learning
We are seeking to hire a Research Associate to contribute towards multimodal machine learning, in particular to:
Cross-lingual video captioning
Applications to language tasks, with emphasis on machine translation, but also automatic speech recognition, text summarisation etc
This position is funded by:
the British Council MMVC (A Multimodal and Multilingual Framework for Video Captioning) project.
the ERC MultiMT project (https://multimt.github.io/): Multimodal Context Modelling for Machine Translation.
Both projects are led by Professor Lucia Specia (http://www.imperial.ac.uk/people/l.specia) at Imperial College London.
Imperial College is consistently in the top 10 world university ranking. The Department of Computing has repeatedly been awarded the highest research ratings in the REF assessments, was ranked 1st in the Research Intensity table published by The Times Higher, and was rated as "Excellent" in the most recent national assessment of teaching quality.
Essential requirements
A strong track record in at least one of the following areas is essential for this post: machine learning, natural language processing or computer vision. Preference will be given to applicants with experience in multimodal work involving two of more of these areas.
In particular, the following skills are required:
Experience in the modelling of natural language processing/computer vision or multimodal tasks using machine learning
Experience with deep learning algorithms and deep learning frameworks (e.g. PyTorch, TensorFlow)
Significant experience with coding
Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £34,397 - £37,486 per annum.
✔️ @ApplyTime
Salary: £37,486 to £46,499 Per annum
Closing Date: 3rd July 2019
For further information and to apply: https://www.imperial.ac.uk/jobs/denoscription/ENG00862/research-associate-multimodal-machine-learning
We are seeking to hire a Research Associate to contribute towards multimodal machine learning, in particular to:
Cross-lingual video captioning
Applications to language tasks, with emphasis on machine translation, but also automatic speech recognition, text summarisation etc
This position is funded by:
the British Council MMVC (A Multimodal and Multilingual Framework for Video Captioning) project.
the ERC MultiMT project (https://multimt.github.io/): Multimodal Context Modelling for Machine Translation.
Both projects are led by Professor Lucia Specia (http://www.imperial.ac.uk/people/l.specia) at Imperial College London.
Imperial College is consistently in the top 10 world university ranking. The Department of Computing has repeatedly been awarded the highest research ratings in the REF assessments, was ranked 1st in the Research Intensity table published by The Times Higher, and was rated as "Excellent" in the most recent national assessment of teaching quality.
Essential requirements
A strong track record in at least one of the following areas is essential for this post: machine learning, natural language processing or computer vision. Preference will be given to applicants with experience in multimodal work involving two of more of these areas.
In particular, the following skills are required:
Experience in the modelling of natural language processing/computer vision or multimodal tasks using machine learning
Experience with deep learning algorithms and deep learning frameworks (e.g. PyTorch, TensorFlow)
Significant experience with coding
Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £34,397 - £37,486 per annum.
✔️ @ApplyTime
Imperial College London
Research Associate in Multimodal Machine Learning
We are seeking to hire a Research Associate to contribute towards multimodal machine learning, in particular to: Cross-lingual video captioning Applications to language tasks, with emphasis on machine translation, but also automatic speech recognition, text…
Research Assistant at the University College London
The appointment will be on UCL Grade 6. The salary range will be £30,922 - £32,607 per annum, inclusive of London Allowance.
We invite applications to work on an exciting ERC project led by Dr Alice Goisis. Working with Dr. Goisis, you will conduct quantitative analyses to study children who are conceived through medically assisted reproduction (e.g. IVF) and conduct literature reviews on the topic. The project aims to analyse the effects of Medically Assisted Reproduction (e.g. IVF, artificial insemination, ovulation induction) on the well-being of children, adults and parents. The project will rely on data from the UK Millennium Cohort Study and other datasets from Nordic countries. You will be expected to contribute to:
Use appropriate statistical software to derive new variables from the UK Millennium Cohort Study and other datasets used in the project.
Conduct quantitative analyses to study adults who undergo Medically Assisted Reproduction (MAR) to conceive and children who are born after Medically Assisted Reproduction.
Conduct literature reviews on the topic of Medically Assisted Reproduction.
Write reports documenting changes over time in the provision and utilization of Medically Assisted Reproduction.
This post is available from 01 June 2019 and is funded until 31 May 2020 in the first instance.
You will have completed (or be near completion of) a post graduate qualification or equivalent experience in a relevant discipline such as demography, sociology, quantitative social science or psychology. You will have knowledge of quantitative methods (e.g. regression techniques) and experience of data management including data cleaning and deriving variables (ideally from large-scale datasets).
Applicants should apply online. To access further details about the position and how to apply, visit this website. If you have any queries regarding the vacancy, please contact Dr. Alice Goisis at a.goisis@ucl.ac.uk.
Closing Date: 14/6/2019
Latest time for the submission of applications: 23:59.
Interview Date: TBC
We particularly welcome applications from black and minority ethnic candidates as they are under-represented within UCL at this level.
Our department is working towards an Athena SWAN award. We are committed to advancing gender equality within our department.
✔️ @ApplyTime
The appointment will be on UCL Grade 6. The salary range will be £30,922 - £32,607 per annum, inclusive of London Allowance.
We invite applications to work on an exciting ERC project led by Dr Alice Goisis. Working with Dr. Goisis, you will conduct quantitative analyses to study children who are conceived through medically assisted reproduction (e.g. IVF) and conduct literature reviews on the topic. The project aims to analyse the effects of Medically Assisted Reproduction (e.g. IVF, artificial insemination, ovulation induction) on the well-being of children, adults and parents. The project will rely on data from the UK Millennium Cohort Study and other datasets from Nordic countries. You will be expected to contribute to:
Use appropriate statistical software to derive new variables from the UK Millennium Cohort Study and other datasets used in the project.
Conduct quantitative analyses to study adults who undergo Medically Assisted Reproduction (MAR) to conceive and children who are born after Medically Assisted Reproduction.
Conduct literature reviews on the topic of Medically Assisted Reproduction.
Write reports documenting changes over time in the provision and utilization of Medically Assisted Reproduction.
This post is available from 01 June 2019 and is funded until 31 May 2020 in the first instance.
You will have completed (or be near completion of) a post graduate qualification or equivalent experience in a relevant discipline such as demography, sociology, quantitative social science or psychology. You will have knowledge of quantitative methods (e.g. regression techniques) and experience of data management including data cleaning and deriving variables (ideally from large-scale datasets).
Applicants should apply online. To access further details about the position and how to apply, visit this website. If you have any queries regarding the vacancy, please contact Dr. Alice Goisis at a.goisis@ucl.ac.uk.
Closing Date: 14/6/2019
Latest time for the submission of applications: 23:59.
Interview Date: TBC
We particularly welcome applications from black and minority ethnic candidates as they are under-represented within UCL at this level.
Our department is working towards an Athena SWAN award. We are committed to advancing gender equality within our department.
✔️ @ApplyTime
Jobs.ac.uk
Research Assistant at University College London
Postdoctoral Research Fellow for ultra-high frame rate imaging of neuronal membrane potential
We are inviting applications for a full-time Wellcome Trust ISSF funded Postdoctoral Research Fellow within the Centre for Discovery Brain Sciences at the University of Edinburgh. The successful applicant will contribute to the development of novel approaches for ultra-high frame rate imaging of neuronal activity using single photon avalanche diodes (SPADs). The post will focus on validation of SPADs for imaging of neuronal activity reported with genetically encoded voltage indicators. It is expected that the successful applicant will have experience in whole-cell patch-clamp methods for recording membrane potential of neurons in brain slices and preferably also expertise in stereotaxic viral injections. The successful applicant will have access to state-of-the-art imaging and electrophysiology tools and will be part of a collaboration between Gyongy, Nolan, Duguid and Mitra research groups in the Institute for Integrated Micro- and Nano-Systems and the Centre for Discovery Brain Sciences.
For informal inquiries please contact Matt Nolan: mattnolan@ed.ac.uk or Istvan Gyongy: igyongy2@exseed.ed.ac.uk.
To apply please follow this link: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=048147
✔️ @ApplyTime
We are inviting applications for a full-time Wellcome Trust ISSF funded Postdoctoral Research Fellow within the Centre for Discovery Brain Sciences at the University of Edinburgh. The successful applicant will contribute to the development of novel approaches for ultra-high frame rate imaging of neuronal activity using single photon avalanche diodes (SPADs). The post will focus on validation of SPADs for imaging of neuronal activity reported with genetically encoded voltage indicators. It is expected that the successful applicant will have experience in whole-cell patch-clamp methods for recording membrane potential of neurons in brain slices and preferably also expertise in stereotaxic viral injections. The successful applicant will have access to state-of-the-art imaging and electrophysiology tools and will be part of a collaboration between Gyongy, Nolan, Duguid and Mitra research groups in the Institute for Integrated Micro- and Nano-Systems and the Centre for Discovery Brain Sciences.
For informal inquiries please contact Matt Nolan: mattnolan@ed.ac.uk or Istvan Gyongy: igyongy2@exseed.ed.ac.uk.
To apply please follow this link: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=048147
✔️ @ApplyTime
Postdoctoral Fellow, Chemistry (Price Group) (req4260)
The University of Saskatchewan values diversity, and Indigenous engagement is a strategic priority.
Primary Purpose: The Price group (https://research-groups.usask.ca/price/) at the University of Saskatchewan (UofS) is looking to recruit a postdoctoral fellow to focus on radiometal production and radiochemistry (targetry, cyclotron production of radionuclides, radiochemical purification, and radiolabeling). The selected candidate will help with radiochemical separation and radiolabeling of imaging radionuclides (including but not limited to 44Sc, 89Zr, 45Ti, 64Cu, 68Ga). The work for this project will heavily utilize the new and rapidly growing Saskatchewan Centre for Cyclotron Sciences facility (operated by the Fedoruk Centre), which houses an ACSI TR24 cyclotron, hot cells and other radioactive work areas, PET/SPECT/CT, and other ancillary radiochemistry equipment. This project is a close collaboration between the Price group at the UofS, Dr. Jonathan Engle at Madison-Wisconsin (https://cyclotron.wisc.edu/staff/engle-jonathan-w/), and Dr. Valery Radchenko (https://www.triumf.ca/research-program/research-topics/nuclear-medicine) at TRIUMF (Life Sciences). The hired candidate will be co-mentored by Drs. Price, Engle, and Radchenko. The postdoctoral fellow (PDF) hired for this position will be employed by the UofS and based in Saskatoon but will be required to travel semi-frequently between these three sites (funded travel) in the USA and Canada. This position is for a funded two-year project, starting with a one-year contract that will be renewed after one year with satisfactory performance. At the close of this two-year project there is the possibility of further extension depending on performance and availability of funding. This will provide an excellent experience to obtain mentorship and skills in cyclotron targetry and radionuclide production at different world-leading sites and translate skills to the UofS to perform preclinical studies using the produced radionuclides.
More Info
✔️ @ApplyTime
The University of Saskatchewan values diversity, and Indigenous engagement is a strategic priority.
Primary Purpose: The Price group (https://research-groups.usask.ca/price/) at the University of Saskatchewan (UofS) is looking to recruit a postdoctoral fellow to focus on radiometal production and radiochemistry (targetry, cyclotron production of radionuclides, radiochemical purification, and radiolabeling). The selected candidate will help with radiochemical separation and radiolabeling of imaging radionuclides (including but not limited to 44Sc, 89Zr, 45Ti, 64Cu, 68Ga). The work for this project will heavily utilize the new and rapidly growing Saskatchewan Centre for Cyclotron Sciences facility (operated by the Fedoruk Centre), which houses an ACSI TR24 cyclotron, hot cells and other radioactive work areas, PET/SPECT/CT, and other ancillary radiochemistry equipment. This project is a close collaboration between the Price group at the UofS, Dr. Jonathan Engle at Madison-Wisconsin (https://cyclotron.wisc.edu/staff/engle-jonathan-w/), and Dr. Valery Radchenko (https://www.triumf.ca/research-program/research-topics/nuclear-medicine) at TRIUMF (Life Sciences). The hired candidate will be co-mentored by Drs. Price, Engle, and Radchenko. The postdoctoral fellow (PDF) hired for this position will be employed by the UofS and based in Saskatoon but will be required to travel semi-frequently between these three sites (funded travel) in the USA and Canada. This position is for a funded two-year project, starting with a one-year contract that will be renewed after one year with satisfactory performance. At the close of this two-year project there is the possibility of further extension depending on performance and availability of funding. This will provide an excellent experience to obtain mentorship and skills in cyclotron targetry and radionuclide production at different world-leading sites and translate skills to the UofS to perform preclinical studies using the produced radionuclides.
More Info
✔️ @ApplyTime
UW-Madison Cyclotron Lab
Engle, Jonathan W
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Research Assistant, School of Chemical & Biomedical Engineering (SCBE)
Denoscription:
The DNA and RNA Editing (DaRE) laboratory at the Nanyang Technological University (NTU) in Singapore is broadly interested in systems and synthetic biology. Specifically, we are actively involved in developing novel technologies, such as CRISPR-Cas systems, for modifying complex genomes and trannoscriptomes. We are also actively investigating the functions and regulation of ADAR-mediated RNA editing as well as other RNA modifications, especially in the context of cell identity. More information about the DaRE laboratory can be found at www.mhtanlab.com.
We are looking for an outstanding project or research officer (RO) to join us in our adventure. Beyond the standard laboratory duties (such as ordering and receiving goods), the RO will work closely with current team members to advance our various research activities. Some of our projects include the development and testing of new CRISPR-Cas technologies in different cellular contexts, performing CRISPR screens, as well as studying the functions of RNA modifications in stem cell differentiation, development, and cancer. The RO can also take the lead to drive his/her own project, if he/she is self-motivated. Additionally, there will be ample opportunities to interact closely with bioinformaticians and other research groups in NTU or the Genome Institute of Singapore (GIS).
Job Requirements:
We are seeking a highly motivated and independent research assistant, ideally with some experience working in a biology-oriented laboratory. The successful candidate should have:
a bachelor’s degree in the biological sciences, biological engineering, or a related field
experience in RNA biology, developmental biology, epitrannoscriptomics, genome and trannoscriptome engineering
experience with standard molecular biology and cell biology experiments, such as cloning and mammalian cell culture
a demonstrated ability to conduct scientific research is required
Application Procedure:
Interested applicants please send your resume to Asst Prof Tan Meng How at via mh.tan@ntu.edu.sg.
Please attach your full CV, with the names and contacts (including email addresses) of 2 character referees, and all relevant academic certificates.
We regret that only shortlisted candidates will be notified.
✔️ @ApplyTime
Denoscription:
The DNA and RNA Editing (DaRE) laboratory at the Nanyang Technological University (NTU) in Singapore is broadly interested in systems and synthetic biology. Specifically, we are actively involved in developing novel technologies, such as CRISPR-Cas systems, for modifying complex genomes and trannoscriptomes. We are also actively investigating the functions and regulation of ADAR-mediated RNA editing as well as other RNA modifications, especially in the context of cell identity. More information about the DaRE laboratory can be found at www.mhtanlab.com.
We are looking for an outstanding project or research officer (RO) to join us in our adventure. Beyond the standard laboratory duties (such as ordering and receiving goods), the RO will work closely with current team members to advance our various research activities. Some of our projects include the development and testing of new CRISPR-Cas technologies in different cellular contexts, performing CRISPR screens, as well as studying the functions of RNA modifications in stem cell differentiation, development, and cancer. The RO can also take the lead to drive his/her own project, if he/she is self-motivated. Additionally, there will be ample opportunities to interact closely with bioinformaticians and other research groups in NTU or the Genome Institute of Singapore (GIS).
Job Requirements:
We are seeking a highly motivated and independent research assistant, ideally with some experience working in a biology-oriented laboratory. The successful candidate should have:
a bachelor’s degree in the biological sciences, biological engineering, or a related field
experience in RNA biology, developmental biology, epitrannoscriptomics, genome and trannoscriptome engineering
experience with standard molecular biology and cell biology experiments, such as cloning and mammalian cell culture
a demonstrated ability to conduct scientific research is required
Application Procedure:
Interested applicants please send your resume to Asst Prof Tan Meng How at via mh.tan@ntu.edu.sg.
Please attach your full CV, with the names and contacts (including email addresses) of 2 character referees, and all relevant academic certificates.
We regret that only shortlisted candidates will be notified.
✔️ @ApplyTime
PhD Student, cancer biology, University of Warsaw, Poland
The main objective of this project is to describe the role of MLK4-
dependent communication between breast cancer cells and
macrophages, which are the most abundant immune cells in tumour
microenvironment. MLK4 is a serine/threonine kinase that plays an
important role in various cellular processes including proliferation,
differentiation, migration of cells. We have recently proven that MLK4 is
highly expressed in breast carcinoma and that it contributes to invasive
phenotype of breast cancer cells. In our new project, we will evaluate the
role of MLK4 on the abundance and behaviour of immune cells,
macrophages, in tumour surroundings
More Info
✔️ @ApplyTime
The main objective of this project is to describe the role of MLK4-
dependent communication between breast cancer cells and
macrophages, which are the most abundant immune cells in tumour
microenvironment. MLK4 is a serine/threonine kinase that plays an
important role in various cellular processes including proliferation,
differentiation, migration of cells. We have recently proven that MLK4 is
highly expressed in breast carcinoma and that it contributes to invasive
phenotype of breast cancer cells. In our new project, we will evaluate the
role of MLK4 on the abundance and behaviour of immune cells,
macrophages, in tumour surroundings
More Info
✔️ @ApplyTime
PhD position, Ribosome-associated quality control and neurodegeneration , Germany
Our earlier work had shown that mutation of a novel E3 ligase, Listerin, causes neurodegeneration in mice (1). Subsequently, we elucidated the function of the yeast Listerin ortholog—yeast Listerin (Ltn1) acts in a protein quality control pathway that targets stalled ribosomes unable to proceed with translational elongation or termination (2).
Ltn1 functions as a component of the ribosome-associated quality control (RQC) complex, along with Rqc1 and Rqc2/Tae2 (NEMF in mammals) subunits (3,4). Cryo-EM structures of this complex have led to a model in which Rqc2 first recognizes the stalled 60S ribosomal subunit and then stabilizes binding of Ltn1, which, in turn, ubiquitylates the aberrant nascent chain for proteasomal degradation (5-7).
In addition, Rqc2 has been found by others to modify stalled nascent chains with a carboxy-terminal, Ala- and Thr-containing extension—the “CAT tail” (7). We subsequently discovered that CAT tails mediate formation of insoluble nascent chain aggregates (8). CAT tail modification and aggregation of nascent chains could be observed under conditions of limiting Ltn1 function, suggesting that inefficient targeting by Ltn1 favors the Rqc2-mediated processes (8). These findings uncover a translational stalling-dependent protein aggregation mechanism that may be relevant to the pathophysiology of neurodegeneration.
The project is to study fundamental mechanisms of RQC function and/or to utilize the available knowledge acquired from yeast and other models to elucidate molecular mechanisms of neurodegeneration in RQC-deficient mice.
More Info
✔️ @ApplyTime
Our earlier work had shown that mutation of a novel E3 ligase, Listerin, causes neurodegeneration in mice (1). Subsequently, we elucidated the function of the yeast Listerin ortholog—yeast Listerin (Ltn1) acts in a protein quality control pathway that targets stalled ribosomes unable to proceed with translational elongation or termination (2).
Ltn1 functions as a component of the ribosome-associated quality control (RQC) complex, along with Rqc1 and Rqc2/Tae2 (NEMF in mammals) subunits (3,4). Cryo-EM structures of this complex have led to a model in which Rqc2 first recognizes the stalled 60S ribosomal subunit and then stabilizes binding of Ltn1, which, in turn, ubiquitylates the aberrant nascent chain for proteasomal degradation (5-7).
In addition, Rqc2 has been found by others to modify stalled nascent chains with a carboxy-terminal, Ala- and Thr-containing extension—the “CAT tail” (7). We subsequently discovered that CAT tails mediate formation of insoluble nascent chain aggregates (8). CAT tail modification and aggregation of nascent chains could be observed under conditions of limiting Ltn1 function, suggesting that inefficient targeting by Ltn1 favors the Rqc2-mediated processes (8). These findings uncover a translational stalling-dependent protein aggregation mechanism that may be relevant to the pathophysiology of neurodegeneration.
The project is to study fundamental mechanisms of RQC function and/or to utilize the available knowledge acquired from yeast and other models to elucidate molecular mechanisms of neurodegeneration in RQC-deficient mice.
More Info
✔️ @ApplyTime
Research Assistant - 2 positions, School of Microbiology, College of Science, Engineering and Food Science
Position Summary
The School of Microbiology at University College Cork is the leading centre in Ireland for research in food, microbiota, environmental microbiology and microbial biotechnology. Dr. Morrissey leads the yeast biotechnology research group and has a strong research profile and track record in this field (http://publish.ucc.ie/researchprofiles/D010/jmorrissey).The group has a wide range of international collaborations, particularly through multi-partner EU-funded projects such as the YEASTDOC (www.yeastdoc.eu) PhD training network, and the research project, CHASSY both of which are co-ordinated by Dr. Morrissey.
CHASSY is a EU-funded Horizon 2020 project ennoscriptd “Model-Based Construction and Optimisation of Versatile Chassis Yeast Strains for Production of Valuable Lipid and Aromatic Compounds”. The aim of CHASSY (https://chassy.eu/), is to deliver a suite of yeast strains that can serve as versatile platforms for the production of high value oleochemicals and aromatic molecules. This will be achieved by integrating the knowledge gained from systems biology with the engineering tools of synthetic biology to redesign metabolic pathways in the target yeast species. These redesigned strains will have optimised levels of product precursors and will serve as versatile chassis for industrial exploitation. CHASSY is a research partnership of five academic institutions and two companies, distributed across Europe.
More Info
✔️ @ApplyTime
Position Summary
The School of Microbiology at University College Cork is the leading centre in Ireland for research in food, microbiota, environmental microbiology and microbial biotechnology. Dr. Morrissey leads the yeast biotechnology research group and has a strong research profile and track record in this field (http://publish.ucc.ie/researchprofiles/D010/jmorrissey).The group has a wide range of international collaborations, particularly through multi-partner EU-funded projects such as the YEASTDOC (www.yeastdoc.eu) PhD training network, and the research project, CHASSY both of which are co-ordinated by Dr. Morrissey.
CHASSY is a EU-funded Horizon 2020 project ennoscriptd “Model-Based Construction and Optimisation of Versatile Chassis Yeast Strains for Production of Valuable Lipid and Aromatic Compounds”. The aim of CHASSY (https://chassy.eu/), is to deliver a suite of yeast strains that can serve as versatile platforms for the production of high value oleochemicals and aromatic molecules. This will be achieved by integrating the knowledge gained from systems biology with the engineering tools of synthetic biology to redesign metabolic pathways in the target yeast species. These redesigned strains will have optimised levels of product precursors and will serve as versatile chassis for industrial exploitation. CHASSY is a research partnership of five academic institutions and two companies, distributed across Europe.
More Info
✔️ @ApplyTime
UCC
University College Cork
Learn, Study and Research in UCC, Ireland's first 5 star university. Our tradition of independent thinking will prepare you for the world and the workplace in a vibrant, modern, green campus.
University of Michigan Postdoctoral Fellowship in Developmental/Clinical Translational Neuroscience
Candidates are being considered for a postdoctoral position in the laboratory of Dr. Kate Fitzgerald in the Department of Psychiatry at the University of Michigan. We seek candidates with strong research backgrounds to work on NIH-funded clinical trial research using functional magnetic resonance imaging, EEG and EMG to examine how cognitive behavioral therapy modulates networks underlying threat reactivity and anxiety regulation in children and adolescents with OCD and/or anxiety disorders. EEG and EMG are also used to test engagement of the same networks before and after a novel effortful control training intervention in clinically anxious preschoolers. The expected impact of these projects is an improved understanding of brain networks relevant for early onset anxiety, enabling therapy sensitive to illness stage and appropriate targeting of networks by brain stimulation and/or cognitive training techniques. We are particularly excited about candidates with a strong background in fMRI methods who are also strong writers. We want someone who can jump right into data analysis and manunoscript write-up. Research, training, education, and mentorship are offered in the context of the PI’s lab which interfaces with very active group pursuing mechanistic and translational research in psychiatric disorders in adult and pediatric populations using a variety of brain mapping modalities. The candidate will have access to state-of-the-art brain imaging facilities and computational resources at the University of Michigan. Applicants should have a Ph.D. in a relevant field (e.g. clinical, developmental, cognitive or social psychology or neuroscience). Please email a CV, statement of research interests and relevant background to Dr. Kate Fitzgerald at krd@med.umich.edu.
This is an opportunity to enjoy Ann Arbor, MI which is regularly included on lists of best places to live. https://livability.com/best-places/top-100-best-places-to-live/2018/mi/ann-arbor
✔️ @ApplyTime
Candidates are being considered for a postdoctoral position in the laboratory of Dr. Kate Fitzgerald in the Department of Psychiatry at the University of Michigan. We seek candidates with strong research backgrounds to work on NIH-funded clinical trial research using functional magnetic resonance imaging, EEG and EMG to examine how cognitive behavioral therapy modulates networks underlying threat reactivity and anxiety regulation in children and adolescents with OCD and/or anxiety disorders. EEG and EMG are also used to test engagement of the same networks before and after a novel effortful control training intervention in clinically anxious preschoolers. The expected impact of these projects is an improved understanding of brain networks relevant for early onset anxiety, enabling therapy sensitive to illness stage and appropriate targeting of networks by brain stimulation and/or cognitive training techniques. We are particularly excited about candidates with a strong background in fMRI methods who are also strong writers. We want someone who can jump right into data analysis and manunoscript write-up. Research, training, education, and mentorship are offered in the context of the PI’s lab which interfaces with very active group pursuing mechanistic and translational research in psychiatric disorders in adult and pediatric populations using a variety of brain mapping modalities. The candidate will have access to state-of-the-art brain imaging facilities and computational resources at the University of Michigan. Applicants should have a Ph.D. in a relevant field (e.g. clinical, developmental, cognitive or social psychology or neuroscience). Please email a CV, statement of research interests and relevant background to Dr. Kate Fitzgerald at krd@med.umich.edu.
This is an opportunity to enjoy Ann Arbor, MI which is regularly included on lists of best places to live. https://livability.com/best-places/top-100-best-places-to-live/2018/mi/ann-arbor
✔️ @ApplyTime
Livability
Ann Arbor, MI | 2018 Top 100 Best Places to Live | Livability
Livability showcases America's best places to live, covering research-driven topics about communities around the country through engaging stories, photography and video.
PhD studentship: Artificial Intelligence (AI) methods for public health
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We are seeking to appoint a PhD student in University College London's Department of Computer Science (http://www.cs.ucl.ac.uk/). This 4-year, fully funded, PhD post is associated with the EPSRC project i-sense (https://www.i-sense.org.uk/) and will focus in research proposing AI solutions (predominantly based on machine learning and natural language processing) for addressing open problems in the domain of health.
The successful candidate will be co-supervised by Prof. Ingemar J. Cox and Dr. Vasileios Lampos.
To apply, please go to this page (https://evision.ucl.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RRDCOMSING01&code2=0027) and indicate clearly on your application that you are applying for this scholarship ("AI methods for public health") under the scholarships section, or in your personal statement.
Eligible candidates must be UK nationals or EU citizens that have been in the UK for 3 or more years.
The deadline for applications is June 30, 2019.
For an informal discussion, please contact Vasileios (v.lampos@ucl.ac.uk) or Ingemar (i.cox@ucl.ac.uk).
✔️ @ApplyTime
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We are seeking to appoint a PhD student in University College London's Department of Computer Science (http://www.cs.ucl.ac.uk/). This 4-year, fully funded, PhD post is associated with the EPSRC project i-sense (https://www.i-sense.org.uk/) and will focus in research proposing AI solutions (predominantly based on machine learning and natural language processing) for addressing open problems in the domain of health.
The successful candidate will be co-supervised by Prof. Ingemar J. Cox and Dr. Vasileios Lampos.
To apply, please go to this page (https://evision.ucl.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RRDCOMSING01&code2=0027) and indicate clearly on your application that you are applying for this scholarship ("AI methods for public health") under the scholarships section, or in your personal statement.
Eligible candidates must be UK nationals or EU citizens that have been in the UK for 3 or more years.
The deadline for applications is June 30, 2019.
For an informal discussion, please contact Vasileios (v.lampos@ucl.ac.uk) or Ingemar (i.cox@ucl.ac.uk).
✔️ @ApplyTime
UCL Computer Science
UCL Computer Science is home to some of the world's most influential and creative researchers in the field of computer science.
Researcher in Hydrology at UFZ, Germany
We are looking for a capable Post-DoctoralResearcher (m/f/x) to join us at the Department Catchment Hydrology of theHelmholtz Centre for Environmental Research - UFZ (Halle Salle, Germany).
The researcher will work on the project “Propensity of rivers to extreme floods: climate-landscape controls and early detection – PREDICTED”, funded by the German Research Foundation.
The project investigates the propensity of river basins to generate extreme floods as a result of the interactions between climatic attributes and features of the landscape. The researcher will utilize hydro-climatic records and a mechanistic-stochastic denoscription of streamflow and floods to unveil the reliability of observed time series and the actual flooding hazard in diverse river basins.
The successful candidate will have:
· A Ph.D. (or the candidate will have completed all PhD requirements by the starting date of the appointment) in Hydrology, Civil/Environmental Engineering or a related field of Environmental Sciences, ideally with experience in stochastic hydrology;
· Excellent programming skills (e.g., Python, Matlab, R), with experience in data analysis and the development and application of analytical and numerical models;
· Fluency in English and good writing skills. Publications in peer-reviewed journals are an advantage;
· Curiosity and an entrepreneurial attitude;
· Willingness to discuss and contribute ideas towards the development of research projects;
· Interest in co-supervising doctoral researchers and master students.
Further desirable assets are:
· Experience with application of statistical methods to large hydrological datasets;
· Knowledge of hydro-climatic processes in mountain environments and modeling of snow dynamics;
· Expertise in river sediment transport.
The post is a 100% position (39 hours per week) with duration of 2 years. Both working hours and starting date are negotiable.
Should you be interested or have enquiries, please contact Dr. Stefano Basso (stefano.basso@ufz.de).
The application should include cover letter, CV and contact details of three referees. Only applications received through our portal will be accepted.
https://recruitingapp-5128.de.umantis.com/Vacancies/1654/Denoscription/2
We encourage you to get in touch with us early, and look forward to your application!
✔️ @ApplyTime
We are looking for a capable Post-DoctoralResearcher (m/f/x) to join us at the Department Catchment Hydrology of theHelmholtz Centre for Environmental Research - UFZ (Halle Salle, Germany).
The researcher will work on the project “Propensity of rivers to extreme floods: climate-landscape controls and early detection – PREDICTED”, funded by the German Research Foundation.
The project investigates the propensity of river basins to generate extreme floods as a result of the interactions between climatic attributes and features of the landscape. The researcher will utilize hydro-climatic records and a mechanistic-stochastic denoscription of streamflow and floods to unveil the reliability of observed time series and the actual flooding hazard in diverse river basins.
The successful candidate will have:
· A Ph.D. (or the candidate will have completed all PhD requirements by the starting date of the appointment) in Hydrology, Civil/Environmental Engineering or a related field of Environmental Sciences, ideally with experience in stochastic hydrology;
· Excellent programming skills (e.g., Python, Matlab, R), with experience in data analysis and the development and application of analytical and numerical models;
· Fluency in English and good writing skills. Publications in peer-reviewed journals are an advantage;
· Curiosity and an entrepreneurial attitude;
· Willingness to discuss and contribute ideas towards the development of research projects;
· Interest in co-supervising doctoral researchers and master students.
Further desirable assets are:
· Experience with application of statistical methods to large hydrological datasets;
· Knowledge of hydro-climatic processes in mountain environments and modeling of snow dynamics;
· Expertise in river sediment transport.
The post is a 100% position (39 hours per week) with duration of 2 years. Both working hours and starting date are negotiable.
Should you be interested or have enquiries, please contact Dr. Stefano Basso (stefano.basso@ufz.de).
The application should include cover letter, CV and contact details of three referees. Only applications received through our portal will be accepted.
https://recruitingapp-5128.de.umantis.com/Vacancies/1654/Denoscription/2
We encourage you to get in touch with us early, and look forward to your application!
✔️ @ApplyTime
PhD student position in Secure and autonomous optical networks
Information about the research
The Internet and the overall development of the digital information society is supported by the optical networks as the underlying critical communication infrastructure. To enable the emerging network services with stringent performance requirements, optical networks need to be programmable, flexible, agile, highly resilient to a wide array of failures, ranging from single-component faults, over disasters, to man-made attacks that target optical network disruption at the physical, or the upper network layers. To this end, the network should have a high degree of situational awareness and self-adaptability. This project will investigate the achievable levels of secure and automated operation of optical networks by addressing the related theoretical and practical challenges. Issues related to cognitive operation monitoring, data analytics and interpretation of the observed performance indicators, security-enhancing optical network design, and autonomous network adaptation will be at the heart of this project. The two ambitious goals of the project are to devise novel solutions fundamental for achieving situational awareness and self-defense from malicious attacks targeting optical-layer security vulnerabilities, and to develop a framework for demonstrating and verifying the autonomous optical network operation. Two PhD students will be recruited.
More Info
✔️ @ApplyTime
Information about the research
The Internet and the overall development of the digital information society is supported by the optical networks as the underlying critical communication infrastructure. To enable the emerging network services with stringent performance requirements, optical networks need to be programmable, flexible, agile, highly resilient to a wide array of failures, ranging from single-component faults, over disasters, to man-made attacks that target optical network disruption at the physical, or the upper network layers. To this end, the network should have a high degree of situational awareness and self-adaptability. This project will investigate the achievable levels of secure and automated operation of optical networks by addressing the related theoretical and practical challenges. Issues related to cognitive operation monitoring, data analytics and interpretation of the observed performance indicators, security-enhancing optical network design, and autonomous network adaptation will be at the heart of this project. The two ambitious goals of the project are to devise novel solutions fundamental for achieving situational awareness and self-defense from malicious attacks targeting optical-layer security vulnerabilities, and to develop a framework for demonstrating and verifying the autonomous optical network operation. Two PhD students will be recruited.
More Info
✔️ @ApplyTime
PhD Thesis Position In NLP : Automatic Classification Using Deep Learning Of Hate Speech Posted On The Internet
The rapid development of the Internet and social networks has brought great benefits to women and men in their daily lives. Unfortunately, the dark side of these benefits has led to an increase in hate speech and terrorism as the most common and powerful threats on a global scale. Hate speech is a type of offensive communication mechanism that expresses an ideology of hatred often using stereotypes. Hate speech can target different societal characteristics such as gender, religion, race, disability, etc. Hate speech is the subject of different national and international legal frameworks. Hate speech is a type of terrorism and often follows a terrorist incident or event.
More Info
✔️ @ApplyTime
The rapid development of the Internet and social networks has brought great benefits to women and men in their daily lives. Unfortunately, the dark side of these benefits has led to an increase in hate speech and terrorism as the most common and powerful threats on a global scale. Hate speech is a type of offensive communication mechanism that expresses an ideology of hatred often using stereotypes. Hate speech can target different societal characteristics such as gender, religion, race, disability, etc. Hate speech is the subject of different national and international legal frameworks. Hate speech is a type of terrorism and often follows a terrorist incident or event.
More Info
✔️ @ApplyTime
team.inria.fr
PhD Thesis position in NLP : Automatic classification using deep learning of hate speech posted on the Internet
Automatic classification using deep learning of hate speech posted on the Internet Supervisors: Irina Illina, MdC, Dominique Fohr, CR CNRS Team: Multispeech, LORIA-INRIA Contact: illina@loria.fr, dominique.fohr@loria.fr Duration of PhD Thesis : 3 years Deadline…
Senior Research Fellow: Audio Signal Separation
JOB DESCRIPTION
Ref: RD005
Combining academic research excellence with commercial objectives
This is an opportunity to leverage your excellent post-doctoral research experience and move into a commercial research environment which allows you to pursue real world objectives. If you are looking for an opening to build your career where your brains, creativity and hard work will be recognised and rewarded, and where you will be involved in projects that inspire you and make you want to work, not just need to work, this could be for you.
AudioTelligence is the leader in blind audio signal separation from multi-microphone audio. Our research team which created our world beating technology is continuing to grow to meet the demand for our products.
Working closely with the inventors of our patented technology, you will conduct original research that aims to advance state of the art solutions in the field, extending and improving our blind audio source separation offering. This will give you the chance to become involved in both fundamental and application-motivated problems.
We need a creative problem solver who can develop an idea from an abstract concept into the practical algorithms which will be the foundation of our next product. You must have demonstrably excellent maths skills – shown by your academic background – combined with post-doctoral research experience in audio signal processing technology. You will also need experience of prototyping algorithms using Python and/or C/C++ and/or MATLAB
Additional skills that would be useful include optimisation theory, Bayesian methods, complex tensor calculus, machine learning and knowledge of writing patents.
AudioTelligence is based in Cambridge, UK. We offer competitive salaries, real opportunities for career development and a working environment built on shared values of teamwork, innovation, creativity and respect.
To apply, please contact Sue Handley Jones on s.handleyjones@audiotelligence.com
✔️ @ApplyTime
JOB DESCRIPTION
Ref: RD005
Combining academic research excellence with commercial objectives
This is an opportunity to leverage your excellent post-doctoral research experience and move into a commercial research environment which allows you to pursue real world objectives. If you are looking for an opening to build your career where your brains, creativity and hard work will be recognised and rewarded, and where you will be involved in projects that inspire you and make you want to work, not just need to work, this could be for you.
AudioTelligence is the leader in blind audio signal separation from multi-microphone audio. Our research team which created our world beating technology is continuing to grow to meet the demand for our products.
Working closely with the inventors of our patented technology, you will conduct original research that aims to advance state of the art solutions in the field, extending and improving our blind audio source separation offering. This will give you the chance to become involved in both fundamental and application-motivated problems.
We need a creative problem solver who can develop an idea from an abstract concept into the practical algorithms which will be the foundation of our next product. You must have demonstrably excellent maths skills – shown by your academic background – combined with post-doctoral research experience in audio signal processing technology. You will also need experience of prototyping algorithms using Python and/or C/C++ and/or MATLAB
Additional skills that would be useful include optimisation theory, Bayesian methods, complex tensor calculus, machine learning and knowledge of writing patents.
AudioTelligence is based in Cambridge, UK. We offer competitive salaries, real opportunities for career development and a working environment built on shared values of teamwork, innovation, creativity and respect.
To apply, please contact Sue Handley Jones on s.handleyjones@audiotelligence.com
✔️ @ApplyTime