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
2 PostDocs “Numerical avalanche hazard prediction, ETH Domain
The WSL Institute for Snow and Avalanche Research SLF is part of the Swiss Federal Institute for Forest, Snow and Landscape Research WSL and thus of the ETH Domain. WSL focuses on the sustainable use and protection of landscapes and habitats, and a responsible approach to natural hazards. WSL employs approximately 500 people, of whom 140 work at SLF in Davos.
The Research Unit ‘Snow Avalanches and Prevention’ investigates the formation and dynamics of avalanches, develops warning systems for Alpine natural hazards, and issues the Swiss avalanche bulletin. Its research group “Avalanche Formation” is looking for
2 PostDocs “Numerical avalanche hazard prediction"
Within a 2-year project supported by the Swiss Data Science Center (SDSC) you develop a decision support tool that provides automated predictions of avalanche hazard. In collaboration with scientists from SDSC you will first explore massive, yet diverse in space and time, snow and weather data sets to determine the best approach for the multi-fold classification problem. This should allow describing the main avalanche problems and their severity. Then you will develop prediction models and validate those with a focus on operational applicability as supporting tools for avalanche forecasting.
The research will be split between the two PostDocs and the SDSC scientists according to the tasks and competence. Moreover, you collaborate with others researchers and the forecasting team at SLF.
You hold a university degree in either Snow and Avalanche Science and have experience in numerical modeling or in Data Science and have a strong background in machine learning methods. You have good oral and written communication skills, in particular in English. Furthermore, you are well organized, operate independently, and in a structured and efficient way. You like to work in a team, and are keen to transfer your research into practice.
https://apply.refline.ch/273855/0936/pub/2/index.html
✔️ @ApplyTime
The WSL Institute for Snow and Avalanche Research SLF is part of the Swiss Federal Institute for Forest, Snow and Landscape Research WSL and thus of the ETH Domain. WSL focuses on the sustainable use and protection of landscapes and habitats, and a responsible approach to natural hazards. WSL employs approximately 500 people, of whom 140 work at SLF in Davos.
The Research Unit ‘Snow Avalanches and Prevention’ investigates the formation and dynamics of avalanches, develops warning systems for Alpine natural hazards, and issues the Swiss avalanche bulletin. Its research group “Avalanche Formation” is looking for
2 PostDocs “Numerical avalanche hazard prediction"
Within a 2-year project supported by the Swiss Data Science Center (SDSC) you develop a decision support tool that provides automated predictions of avalanche hazard. In collaboration with scientists from SDSC you will first explore massive, yet diverse in space and time, snow and weather data sets to determine the best approach for the multi-fold classification problem. This should allow describing the main avalanche problems and their severity. Then you will develop prediction models and validate those with a focus on operational applicability as supporting tools for avalanche forecasting.
The research will be split between the two PostDocs and the SDSC scientists according to the tasks and competence. Moreover, you collaborate with others researchers and the forecasting team at SLF.
You hold a university degree in either Snow and Avalanche Science and have experience in numerical modeling or in Data Science and have a strong background in machine learning methods. You have good oral and written communication skills, in particular in English. Furthermore, you are well organized, operate independently, and in a structured and efficient way. You like to work in a team, and are keen to transfer your research into practice.
https://apply.refline.ch/273855/0936/pub/2/index.html
✔️ @ApplyTime
PDRA opening @ University of Manchester
Dear All (apologies for cross-posting),
There is a postdoctoral research associate position opening at University of Manchester, in the area of microstructure image recognition and feature extraction, a.k.a. digital fingerprinting of materials microstructure.
The appointment will be in the School of Mathematics in the Inverse Uncertainty Quantification Group, and joint with the Henry Royce Institute for Advanced Materials. The project is linked to the Data Centric Engineering Programme at The Alan Turing Institute.
Please follow this link for the official advert, as well as further particulars and application instructions.
https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=17333
Feel free to email Kody Law (kody.law@manchester.ac.uk) directly with inquiries.
✔️ @ApplyTime
Dear All (apologies for cross-posting),
There is a postdoctoral research associate position opening at University of Manchester, in the area of microstructure image recognition and feature extraction, a.k.a. digital fingerprinting of materials microstructure.
The appointment will be in the School of Mathematics in the Inverse Uncertainty Quantification Group, and joint with the Henry Royce Institute for Advanced Materials. The project is linked to the Data Centric Engineering Programme at The Alan Turing Institute.
Please follow this link for the official advert, as well as further particulars and application instructions.
https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=17333
Feel free to email Kody Law (kody.law@manchester.ac.uk) directly with inquiries.
✔️ @ApplyTime
www.jobs.manchester.ac.uk
Research Associate in Digital Fingerprinting of Materials Microstructure : Oxford Road, Manchester
Get a job with unrivalled benefits and excellent career development opportunities with a world-class institution at The University of Manchester.
PhD 2019 - Call for Applications
IIT has established a collaboration with Università degli studi di Genova a PhD curriculum in “Computational vision, automatic recognition and learning” (Visione computazionale, riconoscimento e apprendimento automatico - codice 7790) within the general course in “Science and technology for electronic and telecommunication engineering” (Scienze e tecnologie per l'ingegneria elettronica e delle telecomunicazioni) and finances several PhD positions. All research activities are expected to be developed within IIT premises, in Genoa, under the supervision of IIT researchers. Training will be shared between the University and the IIT.
6 PhD positions are available at the Pattern Analysis and Computer Vision (PAVIS) Dept. and Visual Geometry and Modelling (VGM) Lab to work in Computer Vision, Pattern Recognition and Machine Learning, and more specifically on the following themes
(for details see https://pavisdata.iit.it/data/phd/ResearchTopicsPhD2019_IIT-PAVIS+VGM.pdf)
Theme A: Computer vision for the prediction of human intentions, activities and behavior
Theme B: Human body modeling for Socially-Aware Computer Vision
Theme C: 3D Scene understanding with geometrical and deep learning reasoning
Theme D: Multi-modal scene understanding
Theme E: Computer vision into the wild
Theme F: Zero – and Few – Shot Learning
Theme G: Crowd behavioral analysis and event recognition
Theme H: Re-identification
Theme I: Biomedical imaging & Neuroimaging
Theme L: Movement and behavior analysis in biomedical applications
More info
✔️ @ApplyTime
IIT has established a collaboration with Università degli studi di Genova a PhD curriculum in “Computational vision, automatic recognition and learning” (Visione computazionale, riconoscimento e apprendimento automatico - codice 7790) within the general course in “Science and technology for electronic and telecommunication engineering” (Scienze e tecnologie per l'ingegneria elettronica e delle telecomunicazioni) and finances several PhD positions. All research activities are expected to be developed within IIT premises, in Genoa, under the supervision of IIT researchers. Training will be shared between the University and the IIT.
6 PhD positions are available at the Pattern Analysis and Computer Vision (PAVIS) Dept. and Visual Geometry and Modelling (VGM) Lab to work in Computer Vision, Pattern Recognition and Machine Learning, and more specifically on the following themes
(for details see https://pavisdata.iit.it/data/phd/ResearchTopicsPhD2019_IIT-PAVIS+VGM.pdf)
Theme A: Computer vision for the prediction of human intentions, activities and behavior
Theme B: Human body modeling for Socially-Aware Computer Vision
Theme C: 3D Scene understanding with geometrical and deep learning reasoning
Theme D: Multi-modal scene understanding
Theme E: Computer vision into the wild
Theme F: Zero – and Few – Shot Learning
Theme G: Crowd behavioral analysis and event recognition
Theme H: Re-identification
Theme I: Biomedical imaging & Neuroimaging
Theme L: Movement and behavior analysis in biomedical applications
More info
✔️ @ApplyTime
Postdoc Position on Simultaneous Localisation and Mapping (SLAM) for next generation visual inspection at Istituto Italiano di Tecnologia (IIT - Genova) - [ Postdoc ] 76750
Workplace: Genova, IIT, Italy
The Visual Geometry and Modelling (VGM, https://vgm.iit.it/) Research Line at Istituto Italiano di Tecnologia (IIT) invites qualified applicants to submit their CV’s for a Postdoc position in Genova, Italy under the supervision of Dr. Alessio Del Bue.
The VGM mission is to provide computational tools for the digitisation, interpretation and understanding of large-scale 3D information extracted from multi-sensor inputs (video, audio, thermal cameras, IMU and other sources). The scientific core of the VGM Lab is related to the research fields of Computer Vision, Signal Processing and Machine Learning with the primary goal to provide algorithms for:
• Dynamic 3D scene understanding from video and RGBD data;
• Representation and Interpretation of 3D data using semantic and contextual information;
• Large-scale data understanding and modelling for Life Science and Engineering.
The Lab expertise is also applied to several practical and challenging problems in the industry with ongoing collaboration with world-leading companies in machine vision, robotics, automation, energy, avionics, photonics and fashion industries.
More Info
✔️ @ApplyTime
Workplace: Genova, IIT, Italy
The Visual Geometry and Modelling (VGM, https://vgm.iit.it/) Research Line at Istituto Italiano di Tecnologia (IIT) invites qualified applicants to submit their CV’s for a Postdoc position in Genova, Italy under the supervision of Dr. Alessio Del Bue.
The VGM mission is to provide computational tools for the digitisation, interpretation and understanding of large-scale 3D information extracted from multi-sensor inputs (video, audio, thermal cameras, IMU and other sources). The scientific core of the VGM Lab is related to the research fields of Computer Vision, Signal Processing and Machine Learning with the primary goal to provide algorithms for:
• Dynamic 3D scene understanding from video and RGBD data;
• Representation and Interpretation of 3D data using semantic and contextual information;
• Large-scale data understanding and modelling for Life Science and Engineering.
The Lab expertise is also applied to several practical and challenging problems in the industry with ongoing collaboration with world-leading companies in machine vision, robotics, automation, energy, avionics, photonics and fashion industries.
More Info
✔️ @ApplyTime
Visual Geometry and Modelling
The Visual Geometry and Modelling Lab mission is to provide computational tools for the large-scale understanding of data, this being sensed at the nano and up to the macro scale level.
Open post-doc positions in Artificial Intelligence at the University of Deusto (Spain) (Deadline 12 June)
The DeustoTech Institute (http://deustotech.deusto.es/) from the
University of Deusto (Bilbao, Spain) is looking for post-doc researchers
in Artificial Intelligence. The positions are directed to promising
young researchers. Applications from women are especially welcomed.
Concretely we are inviting Expressions of Interest from potential
international postdoctoral researchers who are interested in applying
for a Marie Skłodowska-Curie (MSCA) Individual Fellowships (IFs). These
fellowships offer the most talented and promising researchers the
opportunity to enhance their career development and prospects through
advanced training, international and intersectoral mobility. If
successful, the MSCA-IF will provide a competitive salary (an allowance
to cover living, mobility and family costs) and an allocation for
research, training and networking costs of the researcher.
More Info
✔️ @ApplyTime
The DeustoTech Institute (http://deustotech.deusto.es/) from the
University of Deusto (Bilbao, Spain) is looking for post-doc researchers
in Artificial Intelligence. The positions are directed to promising
young researchers. Applications from women are especially welcomed.
Concretely we are inviting Expressions of Interest from potential
international postdoctoral researchers who are interested in applying
for a Marie Skłodowska-Curie (MSCA) Individual Fellowships (IFs). These
fellowships offer the most talented and promising researchers the
opportunity to enhance their career development and prospects through
advanced training, international and intersectoral mobility. If
successful, the MSCA-IF will provide a competitive salary (an allowance
to cover living, mobility and family costs) and an allocation for
research, training and networking costs of the researcher.
More Info
✔️ @ApplyTime
Apply Time
Open post-doc positions in Artificial Intelligence at the University of Deusto (Spain) (Deadline 12 June) - Apply Time
The DeustoTech Institute (http://deustotech.deusto.es/) from the University of Deusto (Bilbao, Spain) is looking for post-doc researchers in Artificial Intelligence. The positions are directed to promising young researchers. Applications from women are especially…
Research Fellow in MRI Royal Holloway, University of London - Psychology Department
Applications are invited for the post of Research Fellow in MRI, in the Department of Psychology, Royal Holloway, University of London. This post represents part of a major programme of investment into our MRI research portfolio. The successful candidate will be responsible for driving forward methods capability in the MRI unit, retaining an in-depth and up-to-date knowledge of advanced neuroimaging methods, and supporting users in the design and analysis of (f)MRI studies. S/he may also make a limited contribution to MRI methods teaching and supervision of advanced student projects.
More Info
✔️ @ApplyTime
Applications are invited for the post of Research Fellow in MRI, in the Department of Psychology, Royal Holloway, University of London. This post represents part of a major programme of investment into our MRI research portfolio. The successful candidate will be responsible for driving forward methods capability in the MRI unit, retaining an in-depth and up-to-date knowledge of advanced neuroimaging methods, and supporting users in the design and analysis of (f)MRI studies. S/he may also make a limited contribution to MRI methods teaching and supervision of advanced student projects.
More Info
✔️ @ApplyTime
Apply Time
Research Fellow in MRI Royal Holloway, University of London - Psychology Department - Apply Time
Applications are invited for the post of Research Fellow in MRI, in the Department of Psychology, Royal Holloway, University of London. This post represents part of a major programme of investment into our MRI research portfolio. The successful candidate…
Postdoctoral Research: Characterizing watershed-scale surface water storage effects on water quality and quantity
We are excited to share a second postdoctoral research opportunity to investigate, characterize, and quantify (via statistical, geospatial, and/or hydrological models) the role of landscape surface water storage features (e.g., wetlands, floodplains) and their associated hydrological and biogeochemical functions on downstream water quality. This competitive postdoctoral opportunity is with Oak Ridge Institute of Science and Education and is located at US Environmental Protection Agency’s Office of Research and Development in Cincinnati, Ohio. This position will complement the postdoctoral research position posted earlier this spring (now closed), for which we’re currently reviewing candidates.
Application period ends at 3:00 PM ET on July 18th, 2019. Please share with those who may be interested.
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We are excited to share a second postdoctoral research opportunity to investigate, characterize, and quantify (via statistical, geospatial, and/or hydrological models) the role of landscape surface water storage features (e.g., wetlands, floodplains) and their associated hydrological and biogeochemical functions on downstream water quality. This competitive postdoctoral opportunity is with Oak Ridge Institute of Science and Education and is located at US Environmental Protection Agency’s Office of Research and Development in Cincinnati, Ohio. This position will complement the postdoctoral research position posted earlier this spring (now closed), for which we’re currently reviewing candidates.
Application period ends at 3:00 PM ET on July 18th, 2019. Please share with those who may be interested.
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Postdoctoral Research: Characterizing watershed-scale surface water storage effects on water quality and quantity - Apply Time
We are excited to share a second postdoctoral research opportunity to investigate, characterize, and quantify (via statistical, geospatial, and/or hydrological models) the role of landscape surface water storage features (e.g., wetlands, floodplains) and…
Scientia PhD Scholarship for a 2020 Start at UNSW Canberra, Australia
The word Scientia means "knowledge based on demonstrable and reproducible data" (Merriam-Webster dictionary). The term sits at the heart of this particular PhD project.
UNSW Australia has launched a global drive to recruit 700 exceptional PhD students over the next 10 years.
This prestigious PhD scholarship is fully funded and offers a significant stipend to the successful applicant. The UNSW Scientia PhD Scholarships were established to attract the best research students to UNSW to work on cutting-edge game-changer topics.
This prestigious scholarship offers $41,209 stipend per annum for four years. In addition, a travel and development support package up to $10,000 per annum. For International Students, the scholarship will also include tuition scholarship which waves the fees.
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The word Scientia means "knowledge based on demonstrable and reproducible data" (Merriam-Webster dictionary). The term sits at the heart of this particular PhD project.
UNSW Australia has launched a global drive to recruit 700 exceptional PhD students over the next 10 years.
This prestigious PhD scholarship is fully funded and offers a significant stipend to the successful applicant. The UNSW Scientia PhD Scholarships were established to attract the best research students to UNSW to work on cutting-edge game-changer topics.
This prestigious scholarship offers $41,209 stipend per annum for four years. In addition, a travel and development support package up to $10,000 per annum. For International Students, the scholarship will also include tuition scholarship which waves the fees.
More Info
✔️ @ApplyTime
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Scientia PhD Scholarship for a 2020 Start at UNSW Canberra, Australia - Apply Time
The word Scientia means “knowledge based on demonstrable and reproducible data” (Merriam-Webster dictionary). The term sits at the heart of this particular PhD project. UNSW Australia has launched a global drive to recruit 700 exceptional PhD students over…
Scientia PhD Scholarship for a 2020 Start at UNSW Sydney, Australia
Real-time Cognitive Load Measures to Improve Trust in Autonomous Systems
The word Scientia means "knowledge based on demonstrable and reproducible data" (Merriam-Webster dictionary). The term sits at the heart of this particular PhD project.
UNSW Australia has launched a global drive to recruit 700 exceptional PhD students over the next 10 years.
This prestigious PhD scholarship is fully funded and offers a significant stipend to the successful applicant. The UNSW Scientia PhD Scholarships were established to attract the best research students to UNSW to work on cutting-edge game-changer topics.
This prestigious scholarship offers $41,209 stipend per annum for four years. In addition, a travel and development support package up to $10,000 per annum. For International Students, the scholarship will also include tuition scholarship which waves the fees.
Detailed guidelines for the Scholarship can be found at https://www.scientia.unsw.edu.au/scientia-phd-scholarships
The university deadline for 2020 applications is 12th of July 2019. Make sure you contact the supervisors well before this deadline. The actual application process requires a detailed research plan and more information that needs coordination with the supervisors in advance.
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Real-time Cognitive Load Measures to Improve Trust in Autonomous Systems
The word Scientia means "knowledge based on demonstrable and reproducible data" (Merriam-Webster dictionary). The term sits at the heart of this particular PhD project.
UNSW Australia has launched a global drive to recruit 700 exceptional PhD students over the next 10 years.
This prestigious PhD scholarship is fully funded and offers a significant stipend to the successful applicant. The UNSW Scientia PhD Scholarships were established to attract the best research students to UNSW to work on cutting-edge game-changer topics.
This prestigious scholarship offers $41,209 stipend per annum for four years. In addition, a travel and development support package up to $10,000 per annum. For International Students, the scholarship will also include tuition scholarship which waves the fees.
Detailed guidelines for the Scholarship can be found at https://www.scientia.unsw.edu.au/scientia-phd-scholarships
The university deadline for 2020 applications is 12th of July 2019. Make sure you contact the supervisors well before this deadline. The actual application process requires a detailed research plan and more information that needs coordination with the supervisors in advance.
More Info
✔️ @ApplyTime
UNSW Sydney
Express your interest | Scientia PhD Scholarships
Join a community of world-class researchers at UNSW Sydney.
1 post-doc position on Crosslingual word embeddings and knowledge extraction
Want a postdoc in a historical town by the Atlantic Ocean? 10 minutes on foot from the lab to the beach? We have open positions in 2 Horizon 2020 projects: Embeddia and NewsEye. Please get in touch with Antoine Doucet at the conference and/or feel free to drop an email.
Location: L3i laboratory, La Rochelle, France (the other side of the street)
Duration: 2 years, with possible extension
Net salary range: 2100€-2300 € monthly
Context: H2020 Embeddia project
Keywords: any-language approaches, word embeddings, named-entity recognition and linking, multilingual event detection, deep/machine learning, statistical NLP, (text) data mining
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Want a postdoc in a historical town by the Atlantic Ocean? 10 minutes on foot from the lab to the beach? We have open positions in 2 Horizon 2020 projects: Embeddia and NewsEye. Please get in touch with Antoine Doucet at the conference and/or feel free to drop an email.
Location: L3i laboratory, La Rochelle, France (the other side of the street)
Duration: 2 years, with possible extension
Net salary range: 2100€-2300 € monthly
Context: H2020 Embeddia project
Keywords: any-language approaches, word embeddings, named-entity recognition and linking, multilingual event detection, deep/machine learning, statistical NLP, (text) data mining
More Info
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1 post-doc position on Crosslingual word embeddings and knowledge extraction - Apply Time
Want a postdoc in a historical town by the Atlantic Ocean? 10 minutes on foot from the lab to the beach? We have open positions in 2 Horizon 2020 projects: Embeddia and NewsEye. Please get in touch with Antoine Doucet at the conference and/or feel free to…
PhD Scholarships in Molecular Dissection of Pathomechanisms in Alzheimer's Disease
Queensland Brain Institute
The Queensland Brain Institute works to understand the development, organisation and function of the brain. We aim to understand the neural circuits in the brain, how their function results in behavioural outcomes, and how dysfunction of these circuits leads to disorders such as dementia, Parkinson’s disease and schizophrenia. We aim to (1) Develop novel therapeutic approaches to treat disorders of neural function and (2) Use our understanding of brain function to improve learning in classrooms and in the workplace.
Established in 2003, QBI (www.qbi.uq.edu.au) is housed on the St Lucia campus of UQ. It is home to more than 450 staff and students, including 41 group leaders.
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Queensland Brain Institute
The Queensland Brain Institute works to understand the development, organisation and function of the brain. We aim to understand the neural circuits in the brain, how their function results in behavioural outcomes, and how dysfunction of these circuits leads to disorders such as dementia, Parkinson’s disease and schizophrenia. We aim to (1) Develop novel therapeutic approaches to treat disorders of neural function and (2) Use our understanding of brain function to improve learning in classrooms and in the workplace.
Established in 2003, QBI (www.qbi.uq.edu.au) is housed on the St Lucia campus of UQ. It is home to more than 450 staff and students, including 41 group leaders.
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PhD Scholarships in Molecular Dissection of Pathomechanisms in Alzheimer's Disease - Apply Time
Job no:507798 Area:Queensland Brain Institute Salary (FTE):RTP Scholarship NON-BANDED ($27,596.00 – $27,596.00) Work type:Full Time – Scholarship Location: St Lucia Queensland Brain Institute The Queensland Brain Institute works to understand the development…
PhD Scholarship on The Project 'changes in Species Communities Role of Climate Change Human Land Use and Community Complexity'
The Finnish Museum of Natural History, Luomus, (www.luomus.fi/en) is an independent institute of the University of Helsinki, which is constituted to keep, augment, and display the national natural history collections, and to carry out research and teaching related to these. The Zoology Unit of Luomus is responsible for the zoological collections and long-term biodiversity monitoring data. The Unit carries out research in systematics, biogeography, and conservation biology, and has c. 40 employed staff members.
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The Finnish Museum of Natural History, Luomus, (www.luomus.fi/en) is an independent institute of the University of Helsinki, which is constituted to keep, augment, and display the national natural history collections, and to carry out research and teaching related to these. The Zoology Unit of Luomus is responsible for the zoological collections and long-term biodiversity monitoring data. The Unit carries out research in systematics, biogeography, and conservation biology, and has c. 40 employed staff members.
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PhD Scholarship on The Project 'changes in Species Communities Role of Climate Change Human Land Use and Community Complexity'…
The Finnish Museum of Natural History, Luomus, (www.luomus.fi/en) is an independent institute of the University of Helsinki, which is constituted to keep, augment, and display the national natural history collections, and to carry out research and teaching…
Postdoc Fellow in The Centre for Medical Ethics and Law
Applicants for this Post-doctoral Fellowship in CMEL to be appointed by the Faculty of Law should possess a Ph.D. degree in Law, Medicine, Philosophy or any field in Humanities/Social Sciences related to Medical Ethics and Law or any other related discipline. Those who do not yet have a Ph.D. degree but are close to completion will also be considered. They are expected to show evidence of the potential to produce excellent research. Applicants should have excellent written and spoken English skills. Proficiency in written and spoken Chinese would be an advantage. They must be able to work independently, professionally, and to a high standard under time constraints.
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Applicants for this Post-doctoral Fellowship in CMEL to be appointed by the Faculty of Law should possess a Ph.D. degree in Law, Medicine, Philosophy or any field in Humanities/Social Sciences related to Medical Ethics and Law or any other related discipline. Those who do not yet have a Ph.D. degree but are close to completion will also be considered. They are expected to show evidence of the potential to produce excellent research. Applicants should have excellent written and spoken English skills. Proficiency in written and spoken Chinese would be an advantage. They must be able to work independently, professionally, and to a high standard under time constraints.
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Postdoc Fellow in The Centre for Medical Ethics and Law - Apply Time
Ref.: 495737 Work type: Full-time Department: Department of Law (18100) Categories: Academic-related Staff Applications are invited for appointment as Post-doctoral Fellow in the Centre for Medical Ethics and Law (CMEL) to be appointed by the Faculty of…
Research Fellow at Imperial College London
A Research Fellow position is available in the Centre for Environmental Policy within the Faculty of Natural Sciences at Imperial College London. The position will be based in the Centre for Energy Policy and Technology (ICEPT), one of the UK’s leading centres for research and policy advice at the interface of energy policy and technology. The Opportunities for Climate Mitigation and Sustainable Development (OPTIMISM) project is funded by...
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A Research Fellow position is available in the Centre for Environmental Policy within the Faculty of Natural Sciences at Imperial College London. The position will be based in the Centre for Energy Policy and Technology (ICEPT), one of the UK’s leading centres for research and policy advice at the interface of energy policy and technology. The Opportunities for Climate Mitigation and Sustainable Development (OPTIMISM) project is funded by...
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Research Fellow at Imperial College London - Apply Time
A Research Fellow position is available in the Centre for Environmental Policy within the Faculty of Natural Sciences at Imperial College London. The position will be based in the Centre for Energy Policy and Technology (ICEPT), one of the UK’s leading centres…
Multiple vacancies: fully funded PhD studentships and postdoc positions
We are soliciting applications for multiple fully-funded PhD student vacancies in the FORSIED research group. Applications by top postdoctoral candidates will be considered as well.
Topics of interest:
Network and knowledge graph embedding.
Visual analytics, information visualization.
Representation learning.
Nonlinear dimensionality reduction (variants of UMAP, t-SNE,…).
Data mining algorithms on graphs / networks.
Topological data analysis.
Recommender systems.
Natural language processing (word embedding, conversational agents).
Deep learning approaches for these tasks.
Privacy, fairness, and explainability in machine learning and data science.
Applications to areas including biology (single-cell data), human resources (job-applicant matching), media and entertainment (catalog management).
Profile:
For PhD applicants:
Required:
A relevant Master’s degree (data science, artificial intelligence, computer science, physics, electrical engineering, mathematics).
Top-of-class performance (at least top 5% from top-100 institutes, at least top-1% from other institutes).
Three positive reference letters (solicited by us, no need to include these in your application).
Proven programming experience in Python.
English language level: C1 (CEFR), 95 (TOEFL), 7 (IELTS), or assessed as equivalent during the interview.
A solid background in at least three of the following: linear algebra; machine learning; deep learning; information theory; advanced algorithms; data mining; topological data analysis; information visualization / visual analytics; human computer interaction; recommender systems; natural language processing; privacy, fairness, and explainability in data science and machine learning.
Desired:
Strong programming skills in Python and other languages as proven by open source software projects.
Experience with machine learning frameworks (pytorch, keras, etc).
Experience with Spark.
Prior publications in top conferences or journals.
For Postdoctoral research positions:
Required:
Same as for PhD positions, additionally including:
A strong publication track record (in top conferences and journals such as ICLR, KDD, NeurIPS, VIS, ICML, Data Mining and Knowledge Discovery, IEEE PAMI, JMLR, Machine Learning journal, etc.) on one of the relevant topics.
An eagerness to co-advise PhD and Master student projects.
Context:
These positions are funded in the context of three large research projects:
A large (EUR 1.6M) European Research Council (ERC) Consolidator grant, FORSIED.
A large (EUR 2.1M) FWO Odysseus Group I grant.
A substantial investment (EUR 12M annually) by the Flemish government in AI research, within which we play a leading role.
The research team currently consists of around 10 researchers, and is led by Prof. Tijl De Bie. The reputation of our research team is evidenced by substantial amounts of prestigious funding, high impact publications, and the organization of major international conferences in the area, including as general and program chairs. It is embedded within the IDLab of Ghent University, as well as the UGent Artificial Intelligence institute.
Ghent University:
Ghent University is the largest university in Belgium, and a leading research-intensive university world-wide, ranking consistently within the top-100 in international rankings that value research.
The city of Ghent in Belgium, at the heart of Europe:
Belgium is a small country at the heart of Europe, benefiting from one of the best social security and healthcare systems in the world.
Ghent is a picturesque historical but vibrant town, with an international mindset and an active startup scene. It is home to a large expat community. You will find it easy to get around speaking just English.
Brussels (30 mins), Amsterdam (2 hours), Paris (2.5 hours), London (3 hours) are all within a short train ride’s distance.
Application procedure:
We are soliciting applications for multiple fully-funded PhD student vacancies in the FORSIED research group. Applications by top postdoctoral candidates will be considered as well.
Topics of interest:
Network and knowledge graph embedding.
Visual analytics, information visualization.
Representation learning.
Nonlinear dimensionality reduction (variants of UMAP, t-SNE,…).
Data mining algorithms on graphs / networks.
Topological data analysis.
Recommender systems.
Natural language processing (word embedding, conversational agents).
Deep learning approaches for these tasks.
Privacy, fairness, and explainability in machine learning and data science.
Applications to areas including biology (single-cell data), human resources (job-applicant matching), media and entertainment (catalog management).
Profile:
For PhD applicants:
Required:
A relevant Master’s degree (data science, artificial intelligence, computer science, physics, electrical engineering, mathematics).
Top-of-class performance (at least top 5% from top-100 institutes, at least top-1% from other institutes).
Three positive reference letters (solicited by us, no need to include these in your application).
Proven programming experience in Python.
English language level: C1 (CEFR), 95 (TOEFL), 7 (IELTS), or assessed as equivalent during the interview.
A solid background in at least three of the following: linear algebra; machine learning; deep learning; information theory; advanced algorithms; data mining; topological data analysis; information visualization / visual analytics; human computer interaction; recommender systems; natural language processing; privacy, fairness, and explainability in data science and machine learning.
Desired:
Strong programming skills in Python and other languages as proven by open source software projects.
Experience with machine learning frameworks (pytorch, keras, etc).
Experience with Spark.
Prior publications in top conferences or journals.
For Postdoctoral research positions:
Required:
Same as for PhD positions, additionally including:
A strong publication track record (in top conferences and journals such as ICLR, KDD, NeurIPS, VIS, ICML, Data Mining and Knowledge Discovery, IEEE PAMI, JMLR, Machine Learning journal, etc.) on one of the relevant topics.
An eagerness to co-advise PhD and Master student projects.
Context:
These positions are funded in the context of three large research projects:
A large (EUR 1.6M) European Research Council (ERC) Consolidator grant, FORSIED.
A large (EUR 2.1M) FWO Odysseus Group I grant.
A substantial investment (EUR 12M annually) by the Flemish government in AI research, within which we play a leading role.
The research team currently consists of around 10 researchers, and is led by Prof. Tijl De Bie. The reputation of our research team is evidenced by substantial amounts of prestigious funding, high impact publications, and the organization of major international conferences in the area, including as general and program chairs. It is embedded within the IDLab of Ghent University, as well as the UGent Artificial Intelligence institute.
Ghent University:
Ghent University is the largest university in Belgium, and a leading research-intensive university world-wide, ranking consistently within the top-100 in international rankings that value research.
The city of Ghent in Belgium, at the heart of Europe:
Belgium is a small country at the heart of Europe, benefiting from one of the best social security and healthcare systems in the world.
Ghent is a picturesque historical but vibrant town, with an international mindset and an active startup scene. It is home to a large expat community. You will find it easy to get around speaking just English.
Brussels (30 mins), Amsterdam (2 hours), Paris (2.5 hours), London (3 hours) are all within a short train ride’s distance.
Application procedure: