7 Postdoctoral Research Positions - ML & AI for Healthcare
Computational Health Informatics (CHI) Laboratory,
Department of Engineering Science, University of Oxford
The CHI Lab, led by David Clifton (Oxford Professor of Clinical Machine Learning), has sites in Oxford (funded by the Wellcome Trust, UK government, and NHS) and Suzhou, China (funded by the Chinese government), with over 30 researchers. We develop (non-imaging) interventions for use in healthcare that are based on machine learning, typically involving time-series analysis, Bayesian nonparametrics, and generative deep learning. In close collaboration with Oxford University Hospitals, we have acquired some of the world’s largest sets of patient data (> 1M admissions). We collaborate closely with industry to deploy our methods across hospitals at scale - our work is typically patented by Oxford University Innovation, for immediate translation into healthcare practice. Recent outcomes include the public listing on the UK stock exchange of a company (now approaching 100 employees) to implement our research, alongside other spin-outs.
CHI Lab has openings for postdoctoral researcher scientists, in ML & AI for healthcare, across three sites:
· Four postdocs across a variety of novel Oxford-based clinical collaborations; https://bit.ly/387NZAI
· One postdoc in our Chinese lab in Suzhou; https://bit.ly/2OQsVYa
· Two senior postdocs in our new Wellcome Trust-funded “Flagship Centre”, based in Ho Chi Minh City, Vietnam, sited within the Oxford University Clinical Research Unit (containing 300 Oxford researchers). This initiative focuses on developing novel hospital-based AI interventions suitable for resource-constrained settings, and the posts include a generous package of “overseas allowances”. https://bit.ly/2DGQ5d4
Our lab’s members come from a variety of backgrounds, including machine learning, signal processing, imaging, statistics, and clinical medicine. You will have the opportunity to develop novel technologies based on machine learning as part of a highly collaborative team, with coinventorship on patents, publication in the engineering and medical literature (with leading clinical collaborators), and potential involvement with spin-out and industrial activity according to your interests.
Please contact Prof. David Clifton for informal enquiries: davidc@robots.ox.ac.uk
✔️ @ApplyTime
Computational Health Informatics (CHI) Laboratory,
Department of Engineering Science, University of Oxford
The CHI Lab, led by David Clifton (Oxford Professor of Clinical Machine Learning), has sites in Oxford (funded by the Wellcome Trust, UK government, and NHS) and Suzhou, China (funded by the Chinese government), with over 30 researchers. We develop (non-imaging) interventions for use in healthcare that are based on machine learning, typically involving time-series analysis, Bayesian nonparametrics, and generative deep learning. In close collaboration with Oxford University Hospitals, we have acquired some of the world’s largest sets of patient data (> 1M admissions). We collaborate closely with industry to deploy our methods across hospitals at scale - our work is typically patented by Oxford University Innovation, for immediate translation into healthcare practice. Recent outcomes include the public listing on the UK stock exchange of a company (now approaching 100 employees) to implement our research, alongside other spin-outs.
CHI Lab has openings for postdoctoral researcher scientists, in ML & AI for healthcare, across three sites:
· Four postdocs across a variety of novel Oxford-based clinical collaborations; https://bit.ly/387NZAI
· One postdoc in our Chinese lab in Suzhou; https://bit.ly/2OQsVYa
· Two senior postdocs in our new Wellcome Trust-funded “Flagship Centre”, based in Ho Chi Minh City, Vietnam, sited within the Oxford University Clinical Research Unit (containing 300 Oxford researchers). This initiative focuses on developing novel hospital-based AI interventions suitable for resource-constrained settings, and the posts include a generous package of “overseas allowances”. https://bit.ly/2DGQ5d4
Our lab’s members come from a variety of backgrounds, including machine learning, signal processing, imaging, statistics, and clinical medicine. You will have the opportunity to develop novel technologies based on machine learning as part of a highly collaborative team, with coinventorship on patents, publication in the engineering and medical literature (with leading clinical collaborators), and potential involvement with spin-out and industrial activity according to your interests.
Please contact Prof. David Clifton for informal enquiries: davidc@robots.ox.ac.uk
✔️ @ApplyTime
Fully-funded Post Doctoral Position at InterDigitl, Information Theory for Understanding and Designing Flexible Deep Neural Networks
Running deep neural networks (DNNs) at the Edge and in consumer electronic (CE) devices remains still very challenging due to limited computational and memory resources. Moreover, usually those resources are constantly varying due to other concurrent processes that may start or stop. To optimally use varying resources, one needs so-called flexible DNN models, i.e., models that can optimally exploit all resources available at a given time.
We are targeting the design of such flexible models as follows. A flexible DNN is a network containing several simplified sub-networks of different complexities. This should allow optimally exploiting all available computational resources by executing an appropriate sub-network. However, designing such networks is difficult and time consuming. More precisely, designing an architecture of a usual (non-flexible) DNN is already time consuming, since one needs trying various numbers of layers, various numbers of neurons in each layer, etc. In case of flexible models we are targeting, one needs designing architectures of all sub-networks, which drastically increases the number of tries needed.
In this work we propose to look at the DNNs under the angle of information theory. Indeed, several recent works proposed to study DNNs [1, 2, 3, 4] using the information bottleneck principle [5]. This principle allows obtaining some theoretical bounds of DNN performance by quantifying mutual information between its layers. This will allow finding some near-optimal network simplification rules (going from one sub-network to another) based on theoretical findings, thus avoiding exhaustive cumbersome design of each sub-network. Moreover, we hope that this theoretical work will lead to other new results and findings.
Qualifications
PhD, in Computer Science, Signal Processing, Machine Learning, Mathematics.
Strong analytical and problem-solving skills
Excellent Mathematical / Statistical Skills, Machine Learning and Deep Learning
Strong knowledge in Information Theory
Good programming skills and / or simulation tools. SW (C/C++/Python)
Ability to conduct independent research, propose patents and publications
Ability to conduct independent research
Excellent communication skills and ability to work in a team
ML/AI scientist with a strong expertise and relevant background in distributing model for both inference and training.
Fluent in English
Location: Rennes, France
To apply:
Please send your cv and cover letter to Alexey Ozerov Alexey.Ozerov@InterDigital.com
✔️ @ApplyTime
Running deep neural networks (DNNs) at the Edge and in consumer electronic (CE) devices remains still very challenging due to limited computational and memory resources. Moreover, usually those resources are constantly varying due to other concurrent processes that may start or stop. To optimally use varying resources, one needs so-called flexible DNN models, i.e., models that can optimally exploit all resources available at a given time.
We are targeting the design of such flexible models as follows. A flexible DNN is a network containing several simplified sub-networks of different complexities. This should allow optimally exploiting all available computational resources by executing an appropriate sub-network. However, designing such networks is difficult and time consuming. More precisely, designing an architecture of a usual (non-flexible) DNN is already time consuming, since one needs trying various numbers of layers, various numbers of neurons in each layer, etc. In case of flexible models we are targeting, one needs designing architectures of all sub-networks, which drastically increases the number of tries needed.
In this work we propose to look at the DNNs under the angle of information theory. Indeed, several recent works proposed to study DNNs [1, 2, 3, 4] using the information bottleneck principle [5]. This principle allows obtaining some theoretical bounds of DNN performance by quantifying mutual information between its layers. This will allow finding some near-optimal network simplification rules (going from one sub-network to another) based on theoretical findings, thus avoiding exhaustive cumbersome design of each sub-network. Moreover, we hope that this theoretical work will lead to other new results and findings.
Qualifications
PhD, in Computer Science, Signal Processing, Machine Learning, Mathematics.
Strong analytical and problem-solving skills
Excellent Mathematical / Statistical Skills, Machine Learning and Deep Learning
Strong knowledge in Information Theory
Good programming skills and / or simulation tools. SW (C/C++/Python)
Ability to conduct independent research, propose patents and publications
Ability to conduct independent research
Excellent communication skills and ability to work in a team
ML/AI scientist with a strong expertise and relevant background in distributing model for both inference and training.
Fluent in English
Location: Rennes, France
To apply:
Please send your cv and cover letter to Alexey Ozerov Alexey.Ozerov@InterDigital.com
✔️ @ApplyTime
Pre- or Post-Doc Position in Family Demography - DEADLINE 15 December
Masaryk University seeks to appoint a doctoral student or a post-doctoral scholar in the Office of Population Studies and Department of Sociology as soon as possible, but no later than July 1, 2020.
The appointment is for 2 years, FTE is negotiable (between 0.5 – 1.0). Job grading depending on classification and previous experience as either Researcher I (1C) or Researcher II (2B), salary according to MUNI internal wage regulations.
Job denoscription: participation in research (required) and teaching (negotiable), especially preparation of research reports/papers/conference presentations in the area of partnership formation/transitions/dissolution preferably examined from a comparative perspective and using data from the Generations and Gender Programme (GGP) or similar source.
Qualifications: M.A. degree or equivalent (prae-doc position) or a Ph.D. degree (post-doctoral position) in sociology, demography or other relevant field, experience with quantitative (specially survey/panel) data, very good command of English.
Application documents: Cover Letter indicating the date of earliest availability, Curriculum Vitae including a list of publications and conference presentations, copies of degree certificates.
Deadline for applications: December 15, 2019. Send your application as a single PDF file to the Czech GGP country office at ggp@fss.muni.cz.
✔️ @ApplyTime
Masaryk University seeks to appoint a doctoral student or a post-doctoral scholar in the Office of Population Studies and Department of Sociology as soon as possible, but no later than July 1, 2020.
The appointment is for 2 years, FTE is negotiable (between 0.5 – 1.0). Job grading depending on classification and previous experience as either Researcher I (1C) or Researcher II (2B), salary according to MUNI internal wage regulations.
Job denoscription: participation in research (required) and teaching (negotiable), especially preparation of research reports/papers/conference presentations in the area of partnership formation/transitions/dissolution preferably examined from a comparative perspective and using data from the Generations and Gender Programme (GGP) or similar source.
Qualifications: M.A. degree or equivalent (prae-doc position) or a Ph.D. degree (post-doctoral position) in sociology, demography or other relevant field, experience with quantitative (specially survey/panel) data, very good command of English.
Application documents: Cover Letter indicating the date of earliest availability, Curriculum Vitae including a list of publications and conference presentations, copies of degree certificates.
Deadline for applications: December 15, 2019. Send your application as a single PDF file to the Czech GGP country office at ggp@fss.muni.cz.
✔️ @ApplyTime
AI Scientist positions at AI Singapore
Hi all,
We have openings for AI Scientists and AI Scientific Officers.
AI Singapore (AISG) is a national program launched by the National Research Foundation (NRF). It brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts. The AI Technology Team, led by Prof. Tze Yun Leong, Prof. Stefan Winkler, and Prof. Bryan Low, is looking for AI Scientists and Scientific Officers.
As an AI Scientist or Scientific Officer, you will conduct desk research to identify and propose research domains and topics of significant impact and priority. Working in close interaction with academic researchers and industry partners, you will assist AISG leadership in shaping future grant programs as well as reviewing and evaluating proposal submissions. You will also have the opportunity to engage in state-of-the-art research and contribute to the development of open source systems.
Qualifications:
a Ph.D. degree in computer science or related disciplines
extensive AI knowledge, especially in areas such as adversarial ML, federated learning, synthetic data generation, social network analysis, computer vision, natural language processing
excellent communication skills in both written and verbal English
keen interest in working with emerging technologies and frameworks
an adventurous spirit and willingness to learn new ideas and new domains
Benefits include:
Close collaboration with local universities, research institutes, and companies
Competitive compensation, including family health benefits
Live in a vibrant, multi-cultural city in the heart of South-East Asia
Please submit your application at www.aisingapore.org/careers
Best regards,
Stefan Winkler
aisingapore.org
AI Singapore (AISG)
innovation 4.0
3 Research Link #02-04
Singapore 117602
www.aisingapore.org | www.facebook.com/groups/aisingapore | www.linkedin.com/company/aisingapore
✔️ @ApplyTime
Hi all,
We have openings for AI Scientists and AI Scientific Officers.
AI Singapore (AISG) is a national program launched by the National Research Foundation (NRF). It brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts. The AI Technology Team, led by Prof. Tze Yun Leong, Prof. Stefan Winkler, and Prof. Bryan Low, is looking for AI Scientists and Scientific Officers.
As an AI Scientist or Scientific Officer, you will conduct desk research to identify and propose research domains and topics of significant impact and priority. Working in close interaction with academic researchers and industry partners, you will assist AISG leadership in shaping future grant programs as well as reviewing and evaluating proposal submissions. You will also have the opportunity to engage in state-of-the-art research and contribute to the development of open source systems.
Qualifications:
a Ph.D. degree in computer science or related disciplines
extensive AI knowledge, especially in areas such as adversarial ML, federated learning, synthetic data generation, social network analysis, computer vision, natural language processing
excellent communication skills in both written and verbal English
keen interest in working with emerging technologies and frameworks
an adventurous spirit and willingness to learn new ideas and new domains
Benefits include:
Close collaboration with local universities, research institutes, and companies
Competitive compensation, including family health benefits
Live in a vibrant, multi-cultural city in the heart of South-East Asia
Please submit your application at www.aisingapore.org/careers
Best regards,
Stefan Winkler
aisingapore.org
AI Singapore (AISG)
innovation 4.0
3 Research Link #02-04
Singapore 117602
www.aisingapore.org | www.facebook.com/groups/aisingapore | www.linkedin.com/company/aisingapore
✔️ @ApplyTime
AI Singapore
Careers - AI Singapore
No active recruitments
University of Oulu International Scholarships 2020-2021
The University of Oulu International Scholarship Scheme provides scholarships to academically talented international students studying for a Master’s degree in the University of Oulu two-year International Master’s programmes or five -year Intercultural Teacher Education programme. The scholarships will be granted in the form of a tuition fee waiver covering 50% or 75% of the full tuition fee. Applicants can apply for the tuition scholarship as part of the admissions process. University of Oulu Scholarships do not cover living costs.
More info
✔️ @ApplyTime
The University of Oulu International Scholarship Scheme provides scholarships to academically talented international students studying for a Master’s degree in the University of Oulu two-year International Master’s programmes or five -year Intercultural Teacher Education programme. The scholarships will be granted in the form of a tuition fee waiver covering 50% or 75% of the full tuition fee. Applicants can apply for the tuition scholarship as part of the admissions process. University of Oulu Scholarships do not cover living costs.
More info
✔️ @ApplyTime
www.oulu.fi
Eligibility
Information on who can apply to our programmes and which degree you should hold
Dame Margaret Clark Scholarship in Political Science
Eligibility Criteria
Students eligible for this scholarship must:
Master’s by thesis students (120 points)
Have completed an honours degree in political science or international relations or a cognate discipline providing appropriate preparation for the completion a Master’s thesis and be enrolled in a full year (120 point) Master’s thesis in political science or international relations at Victoria University of Wellington.
Taught Masters students (180 points):
Be enrolled in a full year (180 point) taught Masters in political science or international relations at Victoria University of Wellington.
Selection for this scholarship will be based on academic merit, and in particular, the grades achieved in 300 and 400 level papers in political science or international relations. In the case of candidates with a similar grade point average, preference will be given to students undertaking a thesis on some aspect of New Zealand politics.
More info
✔️ @ApplyTime
Eligibility Criteria
Students eligible for this scholarship must:
Master’s by thesis students (120 points)
Have completed an honours degree in political science or international relations or a cognate discipline providing appropriate preparation for the completion a Master’s thesis and be enrolled in a full year (120 point) Master’s thesis in political science or international relations at Victoria University of Wellington.
Taught Masters students (180 points):
Be enrolled in a full year (180 point) taught Masters in political science or international relations at Victoria University of Wellington.
Selection for this scholarship will be based on academic merit, and in particular, the grades achieved in 300 and 400 level papers in political science or international relations. In the case of candidates with a similar grade point average, preference will be given to students undertaking a thesis on some aspect of New Zealand politics.
More info
✔️ @ApplyTime
RL and LfD research positions (now including interns) at Bosch / UT Austin, focusing on autonomous vehicles
Hi, everyone. We're now accepting applications for summer 2020 Research Interns at the following link: https://smrtr.io/3D3zr.
For the Research Scientist and Research Engineer positions I emailed about some weeks ago, we're nearing the end of the application period. We will only accept applications through the end of this week. Those roles can be applied to here:
Research Scientist - Machine Learning for Autonomous Driving Behavior: https://smrtr.io/3rgnH
Research Engineer - Machine Learning for Autonomous Driving Behavior: https://smrtr.io/3sqZZ
--Information on Bosch Austin--
I've recently begun building an RL/LfD-for-autonomous-vehicles research team for Bosch, the world's largest automotive supplier (with $51B in revenue in 2018), who also happens to make nice home appliances and power tools. Our team has an unusual setup: we office within the UT Austin Computer Science building and are collaborating with Peter Stone, Scott Niekum, and others here. We plan to publish research on RL and LfD topics---where autonomous driving may only be one of many applications of the research results---but we’ll also do R&D that adds algorithms to the Bosch autonomous vehicle program. In the mix are some human-in-the-loop RL research projects as well.
Here’s why I’m grateful to be in this group and why it’s a special opportunity for researchers focusing on RL or LfD for robotics. Features of Bosch in Austin:
an ability to move between fundamental and applied research
a focus on autonomous vehicles, a high-impact topic with problems spread across the spectrum of application and research
competitive industry pay in an academic setting
Austin (creative culture, natural beauty, and a low cost of living for a US tech hub) )
------------
Please send any questions to my Bosch email, brad.knox@us.bosch.com. Applications should be made through the links at top.
Best regards,
Brad
P.S. Apologies to anyone who receives multiple copies via cross posting.
____________________
W. Bradley Knox, PhD
http://bradknox.net
(+1) 512-542-3333
✔️ @ApplyTime
Hi, everyone. We're now accepting applications for summer 2020 Research Interns at the following link: https://smrtr.io/3D3zr.
For the Research Scientist and Research Engineer positions I emailed about some weeks ago, we're nearing the end of the application period. We will only accept applications through the end of this week. Those roles can be applied to here:
Research Scientist - Machine Learning for Autonomous Driving Behavior: https://smrtr.io/3rgnH
Research Engineer - Machine Learning for Autonomous Driving Behavior: https://smrtr.io/3sqZZ
--Information on Bosch Austin--
I've recently begun building an RL/LfD-for-autonomous-vehicles research team for Bosch, the world's largest automotive supplier (with $51B in revenue in 2018), who also happens to make nice home appliances and power tools. Our team has an unusual setup: we office within the UT Austin Computer Science building and are collaborating with Peter Stone, Scott Niekum, and others here. We plan to publish research on RL and LfD topics---where autonomous driving may only be one of many applications of the research results---but we’ll also do R&D that adds algorithms to the Bosch autonomous vehicle program. In the mix are some human-in-the-loop RL research projects as well.
Here’s why I’m grateful to be in this group and why it’s a special opportunity for researchers focusing on RL or LfD for robotics. Features of Bosch in Austin:
an ability to move between fundamental and applied research
a focus on autonomous vehicles, a high-impact topic with problems spread across the spectrum of application and research
competitive industry pay in an academic setting
Austin (creative culture, natural beauty, and a low cost of living for a US tech hub) )
------------
Please send any questions to my Bosch email, brad.knox@us.bosch.com. Applications should be made through the links at top.
Best regards,
Brad
P.S. Apologies to anyone who receives multiple copies via cross posting.
____________________
W. Bradley Knox, PhD
http://bradknox.net
(+1) 512-542-3333
✔️ @ApplyTime
Smartrecruiters
Bosch Group Research Intern - Austin, TX (Summer 2020) | SmartRecruiters
If selected, you will be part of our team at the new Bosch Austin site. The site is embedded in the University of Texas at Austin's Computer Science Department, with offices in the CS Department's beautiful new Gates Dell Complex.As part of your…
Postdoc - Immunology, Virology, Biology, Life Sciences - Oncolytic Viruses and Cancer Immunotherapy
Medizinische Universität Innsbruck Innsbruck (Österreich)
A Post Doc position is available at the Christian Doppler Laboratory for Viral Immunotherapy “CD-VIT”, part of the Institute for Virology at the Medical University of Innsbruck, Austria.
The Christian Doppler Laboratory for Viral Immunotherapy of Cancer is an international research group with strong translational focus on the development of novel cancer treatments. Our lab’s main aim is to integrate virotherapy into the dynamic field of cancer immunotherapy. We work in an academic environment in close collaboration with the pharmaceutical industry. We employ a broad range of methods including molecular virology and biology, advanced cytometry and tumor immunology, single cell sequencing, and in vivo models. Generous funding is provided by the Christian Doppler Research Association, Viratherapeutics GmbH and Boehringer Ingelheim Pharma.
Activities and responsibilities
The portfolio of the advertised Postdoc position includes - but is not limited to:
Characterization and modulation of immunogenic cell death induced by oncolytic viruses
Development of immune-modulating armed oncolytic viruses
Studying the mechanisms linking viral oncolysis with antitumor immunity
Qualification profile
Your profile:
Required qualifications include:
PhD degree in life sciences (biology/immunology/microbiology/pharmacology/biochemistry)
Strong experimental background in molecular virology OR immunogenic cell death
Strong motivation and commitment for the research project, dedication to work as a team player and supervise undergraduate and graduate students
The following experiences are a strong plus:
Experience with mouse tumor models or mouse immunology (incl. animal work certification, i.e. FELASA or equivalents)
Genome engineering techniques, viral cloning
Cell death pathways / signal transduction
We offer
Our offer:
Translational research to develop new cancer therapies in close collaboration with partners from clinical departments, biotech and pharma industry
Multi-disciplinary scientific environment
Training and development opportunities
Exciting and stimulating work atmosphere in an international research consortium
Project funded by a prestigious research grant (Christian Doppler Research Laboratory) for up to 7 years (2017-2024)
Annual salary around € 54,000.- gross
Appointment for 2 years initially, extension possible
Send application to
Please send your detailed application (including letter of motivation, curriculum vitae, copies of certificates, and references) by December 31th 2019 to the following address:
Dr Guido Wollmann
Institute for Virology
Medical University of Innsbruck
Peter-Mayr-Straße 4b
6020 Innsbruck
Austria
e-mail: guido.wollmann@i‐med.ac.at
✔️ @ApplyTime
Medizinische Universität Innsbruck Innsbruck (Österreich)
A Post Doc position is available at the Christian Doppler Laboratory for Viral Immunotherapy “CD-VIT”, part of the Institute for Virology at the Medical University of Innsbruck, Austria.
The Christian Doppler Laboratory for Viral Immunotherapy of Cancer is an international research group with strong translational focus on the development of novel cancer treatments. Our lab’s main aim is to integrate virotherapy into the dynamic field of cancer immunotherapy. We work in an academic environment in close collaboration with the pharmaceutical industry. We employ a broad range of methods including molecular virology and biology, advanced cytometry and tumor immunology, single cell sequencing, and in vivo models. Generous funding is provided by the Christian Doppler Research Association, Viratherapeutics GmbH and Boehringer Ingelheim Pharma.
Activities and responsibilities
The portfolio of the advertised Postdoc position includes - but is not limited to:
Characterization and modulation of immunogenic cell death induced by oncolytic viruses
Development of immune-modulating armed oncolytic viruses
Studying the mechanisms linking viral oncolysis with antitumor immunity
Qualification profile
Your profile:
Required qualifications include:
PhD degree in life sciences (biology/immunology/microbiology/pharmacology/biochemistry)
Strong experimental background in molecular virology OR immunogenic cell death
Strong motivation and commitment for the research project, dedication to work as a team player and supervise undergraduate and graduate students
The following experiences are a strong plus:
Experience with mouse tumor models or mouse immunology (incl. animal work certification, i.e. FELASA or equivalents)
Genome engineering techniques, viral cloning
Cell death pathways / signal transduction
We offer
Our offer:
Translational research to develop new cancer therapies in close collaboration with partners from clinical departments, biotech and pharma industry
Multi-disciplinary scientific environment
Training and development opportunities
Exciting and stimulating work atmosphere in an international research consortium
Project funded by a prestigious research grant (Christian Doppler Research Laboratory) for up to 7 years (2017-2024)
Annual salary around € 54,000.- gross
Appointment for 2 years initially, extension possible
Send application to
Please send your detailed application (including letter of motivation, curriculum vitae, copies of certificates, and references) by December 31th 2019 to the following address:
Dr Guido Wollmann
Institute for Virology
Medical University of Innsbruck
Peter-Mayr-Straße 4b
6020 Innsbruck
Austria
e-mail: guido.wollmann@i‐med.ac.at
✔️ @ApplyTime
Interested Student for Integrated MS and PhD position in Machine Learning
Dear Researchers and Professors,
Greetings! I am Md Emdad Ullah, looking for an Integrated Master's cum PhD studentship position across the globe in the areas of Artificial Intelligence, Machine Learning, Data Science, Natural Language Processing or in related areas of Computer Science.Specifically, I am interested in machine learning application in the chemical field.
I would expect a scholarship as I am planning to start this position as soon as possible.
Please let me know if you and/or any of your colleagues are interested in taking a student.
Thanking you. I look forward hearing from you soon.
Best Regards,
Md Emdad Ullah
University of Dhaks
email- emdadsami@gmail.com
✔️ @ApplyTime
Dear Researchers and Professors,
Greetings! I am Md Emdad Ullah, looking for an Integrated Master's cum PhD studentship position across the globe in the areas of Artificial Intelligence, Machine Learning, Data Science, Natural Language Processing or in related areas of Computer Science.Specifically, I am interested in machine learning application in the chemical field.
I would expect a scholarship as I am planning to start this position as soon as possible.
Please let me know if you and/or any of your colleagues are interested in taking a student.
Thanking you. I look forward hearing from you soon.
Best Regards,
Md Emdad Ullah
University of Dhaks
email- emdadsami@gmail.com
✔️ @ApplyTime
Permanent academic position - Lecturer/Senior Lecturer/Reader in Media & Data Science, University of Glasgow, School of Computing Science
Academic post available at Lecturer or Senior Lecturer/Reader (equivalent to Assistant or Associate Professor), subject to eligibility. The salary will be on the Research and Teaching Grade, level 7, 8 or 9: £35,210 - £39,610 / £43,266 - £50,132 / £51,630 - £58,089 per annum.
Applications for the post are welcome in any research areas of Information, Data and Analysis (IDA) Section of the school, including Machine Learning, Data Systems, Computational Interaction, Vision & sensor-based systems and Information Retrieval. The School has recently invested in a Media & Data Science research theme, recruiting experts in information retrieval and computational political/media science. The school now aims to further strengthen Media & Data Science theme by recruiting a post-holder that can complement the existing strengths within the School, and can develop, lead and sustain research of international standard in Artificial Intelligence/Machine Learning/Data Systems/Information Retrieval; contribute to teaching, assessment, project supervision and curriculum design at undergraduate and postgraduate levels; and participate in School management and organisation.
The School has existing strengths in machine learning and information retrieval applied in contexts such as Music Information Retrieval, Politics and Social media, Conversational interaction and Search. As part of our plans to expand our research and teaching activities in this area and collaborate more closely with our neighbours at BBC Scotland, the Section aims to recruit three academic posts in the topics of Machine Learning, Data Systems, Computational Interaction and Information Retrieval that have the potential to expand our existing strengths in media and data science, including but not limited to topics such as:
· core machine learning technologies (e.g. graph convolutional networks, architectures for multimedia (video or audio) content)
· conversational interaction and search
· explainability/interpretability/ethics/fairness in artificial intelligence, machine learning, algorithmic bias, especially applied in a media and search context
· data science for communications media
· data science for politics and social media
· social media analytics
· algorithmic content generation
· personalisation including (context-aware) recommendation systems/interaction
· large-scale data system engineering
Apply online at http://www.gla.ac.uk/explore/jobs/ Vacancy Reference: E20420
More details on positions available at: https://www.gla.ac.uk/schools/computing/worldchangerswelcome/priorityareas/#/mediaanddatascience
Closing date: 12th December 2019
The Information, Data and Analysis Section is led by Professor Roderick Murray-Smith, and has 17 academics, and 46 postdoctoral fellows, research assistants and PhD students active in this area. IDA section: https://www.gla.ac.uk/schools/computing/research/researchsections/ida-section/
For informal enquiries please contact:
Professor Rod Murray-Smith Email: Roderick.Murray-Smith@glasgow.ac.uk
Professor Roderick Murray-Smith
Head of Section, Information, Data and Analysis Section,
Inference, Dynamics and Interaction Research Group
School of Computing Science
University of Glasgow
Phone: +44 141 330 4984
Web: http://www.dcs.gla.ac.uk/~rod
✔️ @ApplyTime
Academic post available at Lecturer or Senior Lecturer/Reader (equivalent to Assistant or Associate Professor), subject to eligibility. The salary will be on the Research and Teaching Grade, level 7, 8 or 9: £35,210 - £39,610 / £43,266 - £50,132 / £51,630 - £58,089 per annum.
Applications for the post are welcome in any research areas of Information, Data and Analysis (IDA) Section of the school, including Machine Learning, Data Systems, Computational Interaction, Vision & sensor-based systems and Information Retrieval. The School has recently invested in a Media & Data Science research theme, recruiting experts in information retrieval and computational political/media science. The school now aims to further strengthen Media & Data Science theme by recruiting a post-holder that can complement the existing strengths within the School, and can develop, lead and sustain research of international standard in Artificial Intelligence/Machine Learning/Data Systems/Information Retrieval; contribute to teaching, assessment, project supervision and curriculum design at undergraduate and postgraduate levels; and participate in School management and organisation.
The School has existing strengths in machine learning and information retrieval applied in contexts such as Music Information Retrieval, Politics and Social media, Conversational interaction and Search. As part of our plans to expand our research and teaching activities in this area and collaborate more closely with our neighbours at BBC Scotland, the Section aims to recruit three academic posts in the topics of Machine Learning, Data Systems, Computational Interaction and Information Retrieval that have the potential to expand our existing strengths in media and data science, including but not limited to topics such as:
· core machine learning technologies (e.g. graph convolutional networks, architectures for multimedia (video or audio) content)
· conversational interaction and search
· explainability/interpretability/ethics/fairness in artificial intelligence, machine learning, algorithmic bias, especially applied in a media and search context
· data science for communications media
· data science for politics and social media
· social media analytics
· algorithmic content generation
· personalisation including (context-aware) recommendation systems/interaction
· large-scale data system engineering
Apply online at http://www.gla.ac.uk/explore/jobs/ Vacancy Reference: E20420
More details on positions available at: https://www.gla.ac.uk/schools/computing/worldchangerswelcome/priorityareas/#/mediaanddatascience
Closing date: 12th December 2019
The Information, Data and Analysis Section is led by Professor Roderick Murray-Smith, and has 17 academics, and 46 postdoctoral fellows, research assistants and PhD students active in this area. IDA section: https://www.gla.ac.uk/schools/computing/research/researchsections/ida-section/
For informal enquiries please contact:
Professor Rod Murray-Smith Email: Roderick.Murray-Smith@glasgow.ac.uk
Professor Roderick Murray-Smith
Head of Section, Information, Data and Analysis Section,
Inference, Dynamics and Interaction Research Group
School of Computing Science
University of Glasgow
Phone: +44 141 330 4984
Web: http://www.dcs.gla.ac.uk/~rod
✔️ @ApplyTime
PhD studentship in binocular vision at the University of York
Dear all,
A fully funded PhD studentship is available (Home/EU) at the University of York (UK) in the laboratory of Daniel Baker and Aurelio Bruno, beginning October 2020. The project is on the binocular integration of light, and will involve combining pupillometry, EEG and computational modelling to understand both cortical and subcortical processes of binocular signal combination. There will be opportunity to investigate how these processes might differ in clinical groups, including amblyopia and autism. Further details are available here:
https://www.findaphd.com/phds/project/binocular-integration-of-light-in-amblyopia-and-autism/?p115661
Please encourage talented undergraduate and masters students to apply.
All the best,
- Daniel Baker
✔️ @ApplyTime
Dear all,
A fully funded PhD studentship is available (Home/EU) at the University of York (UK) in the laboratory of Daniel Baker and Aurelio Bruno, beginning October 2020. The project is on the binocular integration of light, and will involve combining pupillometry, EEG and computational modelling to understand both cortical and subcortical processes of binocular signal combination. There will be opportunity to investigate how these processes might differ in clinical groups, including amblyopia and autism. Further details are available here:
https://www.findaphd.com/phds/project/binocular-integration-of-light-in-amblyopia-and-autism/?p115661
Please encourage talented undergraduate and masters students to apply.
All the best,
- Daniel Baker
✔️ @ApplyTime
PhD positions in Machine Learning in ECE at George Washington University, USA
Dr. Mahdi Imani, an assistant professor at the Department of Electrical and Computer Engineering at the George Washington University, seeks for multiple PhD students with interests in Machine Learning, Reinforcement Learning and Statistics. Ideal candidates may have:
- Master’s degree in electrical/computer engineering or computer science.
- Strong background in mathematics and statistics.
- Good programming skills (e.g., Python).
Prospective students may email their CV, trannoscripts and English test scores at imani.gwu@gmail.com. For more information, see https://web.seas.gwu.edu/imani/.
Self-supported postdoctoral and visiting scholars are encouraged to contact as well.
--
Mahdi Imani, Ph.D.
Assistant Professor
Dept. of Electrical and Computer Eng.
George Washington University
https://web.seas.gwu.edu/imani/
✔️ @ApplyTime
Dr. Mahdi Imani, an assistant professor at the Department of Electrical and Computer Engineering at the George Washington University, seeks for multiple PhD students with interests in Machine Learning, Reinforcement Learning and Statistics. Ideal candidates may have:
- Master’s degree in electrical/computer engineering or computer science.
- Strong background in mathematics and statistics.
- Good programming skills (e.g., Python).
Prospective students may email their CV, trannoscripts and English test scores at imani.gwu@gmail.com. For more information, see https://web.seas.gwu.edu/imani/.
Self-supported postdoctoral and visiting scholars are encouraged to contact as well.
--
Mahdi Imani, Ph.D.
Assistant Professor
Dept. of Electrical and Computer Eng.
George Washington University
https://web.seas.gwu.edu/imani/
✔️ @ApplyTime
2 PhD Candidates in Computer Science
paluno - The Ruhr Institute for Software Technology, Universität Duisburg-Essen
Activities and responsibilities
Are you passionate about SOFTWARE ENGINEERING research?
If so, you should apply for one of our positions.
Please let us know your research interest, the research challenge you like to work on, and your initial thoughts how to address the challenge.
We offer you:
a full-time position with a competitive salary according to the German TV-L (40,000-50,000 €/a)
dedicated travel and equipment budget
close collaboration with our partners from industry and academia in the context of our European and national research projects
an attractive and modern workplace with excellent facilities
intensive mentoring and a structured PhD process
English as working language
More info
✔️ @ApplyTime
paluno - The Ruhr Institute for Software Technology, Universität Duisburg-Essen
Activities and responsibilities
Are you passionate about SOFTWARE ENGINEERING research?
If so, you should apply for one of our positions.
Please let us know your research interest, the research challenge you like to work on, and your initial thoughts how to address the challenge.
We offer you:
a full-time position with a competitive salary according to the German TV-L (40,000-50,000 €/a)
dedicated travel and equipment budget
close collaboration with our partners from industry and academia in the context of our European and national research projects
an attractive and modern workplace with excellent facilities
intensive mentoring and a structured PhD process
English as working language
More info
✔️ @ApplyTime
3-year fully funded PhD position on Multimodal Machine Learning for Mental Health (CNRS GREYC, France)
The Human Language Technology research group of the CNRS GREYC
Laboratory (https://www.greyc.fr) invites applications for one fully
funded three-year PhD position in Multimodal (acoustics, visual, text)
Machine Learning for Mental Health.
The CNRS GREYC Laboratory carries out research activities in the field
of digital sciences covering several aspects of computer science
including image processing, data mining, artificial intelligence,
computer security, mathematical computing, natural language processing,
electronics and instrumentation. The laboratory gathers more than 200
members in Caen, Normandy.
The successful candidate must hold a Master degree or equivalent in Data
Science, Applied Mathematics or Computer Science. A strong background in
(statistical, deep) machine learning is required as well as knowledge in
natural language processing or/and computer vision.
If you are interested by this position, please send the following
information to Gaël Dias (gael.dias@unicaen.fr):
- Detailed CV
- Trannoscripts of Bsc. and Msc. degrees
- Recommendation letters (up to 3)
Applications will be studied until the position is fullfilled or before
31st March 2020.
For more information, you can directly contact Gaël Dias
(gael.dias@unicaen.fr).
Best regards,
Gaël Dias.
✔️ @ApplyTime
The Human Language Technology research group of the CNRS GREYC
Laboratory (https://www.greyc.fr) invites applications for one fully
funded three-year PhD position in Multimodal (acoustics, visual, text)
Machine Learning for Mental Health.
The CNRS GREYC Laboratory carries out research activities in the field
of digital sciences covering several aspects of computer science
including image processing, data mining, artificial intelligence,
computer security, mathematical computing, natural language processing,
electronics and instrumentation. The laboratory gathers more than 200
members in Caen, Normandy.
The successful candidate must hold a Master degree or equivalent in Data
Science, Applied Mathematics or Computer Science. A strong background in
(statistical, deep) machine learning is required as well as knowledge in
natural language processing or/and computer vision.
If you are interested by this position, please send the following
information to Gaël Dias (gael.dias@unicaen.fr):
- Detailed CV
- Trannoscripts of Bsc. and Msc. degrees
- Recommendation letters (up to 3)
Applications will be studied until the position is fullfilled or before
31st March 2020.
For more information, you can directly contact Gaël Dias
(gael.dias@unicaen.fr).
Best regards,
Gaël Dias.
✔️ @ApplyTime
Research Fellow / Senior Research Fellow at the intersection of machine learning and robotics
We are looking for a Research Fellow / Senior Research Fellow at the intersection of robotics and machine learning.
We are looking for a (Senior) Research Fellow at the intersection of robotics and machine learning.
Autonomous robots will play an increasingly important role in the future, e.g., in the context of healthcare, space exploration, or supporting humans in day-to-day activities. Key challenges, autonomous robots face are that they need to be able to learn from data and adapt fast to new situations without strong human interventions. Currently, autonomous learning systems either require vast amounts of data or they require human guidance. This project centers around approaches for data-efficient autonomous learning for robotics, e.g., by means of probabilistic modeling, transfer learning or using generic priors that constrain the learning system.
You will be part of the Statistical Machine Learning Group, which is located at UCL's Centre for Artificial Intelligence. We have a strong background in probabilistic modeling, data-efficient machine learning, and reinforcement learning. The successful applicant will lead and contribute to research projects at the intersection of statistical machine learning and climate science. They are also expected to contribute to student supervision and interact with research and project partners. The key objective is to design and evaluate machine learning approaches to advance the current state of the art in robot learning.
The post is graded as Grade 7 or Grade 8, with starting salary in the range £35,965 to £43,470 (Grade 7) or £44,674 to £52,701 (Grade 8) per annum (including London Allowance). Progression through the salary scale is incremental.
The funding for this post is for 24 months in the first instance.
The successful applicant will have a PhD (or close to be obtaining a PhD) in machine learning, statistics, computer science, robotics or a relevant area. They should have a track record of internationally recognized research and be able to work as part of a team. Research skills (theoretical and empirical, planning and documentary) plus effective written and verbal communication skills are essential.
More details and a link to the application can be found at
Please contact me if you have questions: m.deisenroth@ucl.ac.uk
I will also be at NeurIPS this month, and I'm happy to discuss opportunities in person.
✔️ @ApplyTime
We are looking for a Research Fellow / Senior Research Fellow at the intersection of robotics and machine learning.
We are looking for a (Senior) Research Fellow at the intersection of robotics and machine learning.
Autonomous robots will play an increasingly important role in the future, e.g., in the context of healthcare, space exploration, or supporting humans in day-to-day activities. Key challenges, autonomous robots face are that they need to be able to learn from data and adapt fast to new situations without strong human interventions. Currently, autonomous learning systems either require vast amounts of data or they require human guidance. This project centers around approaches for data-efficient autonomous learning for robotics, e.g., by means of probabilistic modeling, transfer learning or using generic priors that constrain the learning system.
You will be part of the Statistical Machine Learning Group, which is located at UCL's Centre for Artificial Intelligence. We have a strong background in probabilistic modeling, data-efficient machine learning, and reinforcement learning. The successful applicant will lead and contribute to research projects at the intersection of statistical machine learning and climate science. They are also expected to contribute to student supervision and interact with research and project partners. The key objective is to design and evaluate machine learning approaches to advance the current state of the art in robot learning.
The post is graded as Grade 7 or Grade 8, with starting salary in the range £35,965 to £43,470 (Grade 7) or £44,674 to £52,701 (Grade 8) per annum (including London Allowance). Progression through the salary scale is incremental.
The funding for this post is for 24 months in the first instance.
The successful applicant will have a PhD (or close to be obtaining a PhD) in machine learning, statistics, computer science, robotics or a relevant area. They should have a track record of internationally recognized research and be able to work as part of a team. Research skills (theoretical and empirical, planning and documentary) plus effective written and verbal communication skills are essential.
More details and a link to the application can be found at
Please contact me if you have questions: m.deisenroth@ucl.ac.uk
I will also be at NeurIPS this month, and I'm happy to discuss opportunities in person.
✔️ @ApplyTime
Two postdoctoral positions are available in the lab of Carlos Fernandez-Granda at the Courant Institute and Center for Data Science at NYU:
- Machine learning for healthcare: The focus is the design of deep-learning methodology for medical applications, with emphasis on domain adaptation, high-dimensional signal processing, and semi-supervised learning. The developed techniques will be applied to automatic quantification of rehabilitation dose in stroke patients from sensor and camera data, in collaboration with the Mobilis Lab in the Department of Neurology at NYU School of Medicine, which aims to enhance motor recovery after stroke.
Link: https://apply.interfolio.com/66997
- Machine learning for dynamical systems: The focus is the design of machine-learning methodology for the analysis of dynamic systems, with potential applications to computer vision, material science and molecular biology.
Link: https://apply.interfolio.com/69741
Qualifications
Candidates should possess a Ph.D. in Computer Science, Electrical Engineering, Data Science, or related disciplines. In addition, they should have a strong background in machine learning, and solid programming skills. They must have the ability to work independently and with an interdisciplinary team.
Application Instructions
Interested candidates should submit (1) a CV, (2) a brief cover letter explaining their research experience, how their interests would fit the goals of the project, career plans, and available start date, and (3) the names and contact information of three references familiar with the applicant’s research and academic work.
✔️ @ApplyTime
- Machine learning for healthcare: The focus is the design of deep-learning methodology for medical applications, with emphasis on domain adaptation, high-dimensional signal processing, and semi-supervised learning. The developed techniques will be applied to automatic quantification of rehabilitation dose in stroke patients from sensor and camera data, in collaboration with the Mobilis Lab in the Department of Neurology at NYU School of Medicine, which aims to enhance motor recovery after stroke.
Link: https://apply.interfolio.com/66997
- Machine learning for dynamical systems: The focus is the design of machine-learning methodology for the analysis of dynamic systems, with potential applications to computer vision, material science and molecular biology.
Link: https://apply.interfolio.com/69741
Qualifications
Candidates should possess a Ph.D. in Computer Science, Electrical Engineering, Data Science, or related disciplines. In addition, they should have a strong background in machine learning, and solid programming skills. They must have the ability to work independently and with an interdisciplinary team.
Application Instructions
Interested candidates should submit (1) a CV, (2) a brief cover letter explaining their research experience, how their interests would fit the goals of the project, career plans, and available start date, and (3) the names and contact information of three references familiar with the applicant’s research and academic work.
✔️ @ApplyTime
Research Associate Water Chemistry
Technische Universität Dresden
At the TU Dresden, faculty of Environmental Sciences, Department of Hydro Sciences, the Institute of Water Chemistry offers, as soon as possible, a position as
Research Associate
(Subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
lasting to the end of the project on 31.12.2022 which entails 65 % of the fulltime weekly hours. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeit-vertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (e.g. PhD).
Within the framework of an ESF funded junior research group, it is the aim to develop a system for peptide-based cell-cell communication between yeasts and bacteria for technological processes. A priority objective shall be the comprehensive elucidation of control mechanisms, which are necessary for a balanced cultivation of microbial communities and the optimal exchange of metabolites, in order to enable a conscious use of those mechanisms.
Activities and responsibilities
Establishing analytical methods for the quantification of signal peptides (pheromones) using HPLC-MS/MS and modification thereof in order to meet the needs of more complex matrices and low concentrations, including pre-analytical approaches like SPE, GPC/SEC or ultrafiltration; furthermore, the quantitative determination of selected antibiotics in water and culture media samples, the deduction of kinetic data concerning the biochemical degradation of antibiotics and the characterisation of transformation products.
Qualification profile
Junior researcher, a very good university degree in the fields of chemistry, biochemistry, food chemistry, environmental sciences or similar, obtained no longer than 4 years ago (plus e.g. times of parental leave); a high level of motivation and interest in scientific and interdisciplinary research; very good knowledge of English language (written and spoken); ability to work independently and well-structured in a team with a high level of communication and cooperation within the junior research group; analytical thinking; exceptional skills in laboratory work as well as a deep understanding within the field of analytical chemistry (especially determination of peptides and antibiotics using HPLC-MS/MS, sample preparation), hydrochemistry, biochemistry and microbiology.
Send application to
Please, send your expressive application including all common documents by 09.01.2020 (stamped arrival date of the university central mail service applies) to TU Dresden, Fakultät Umweltwissenschaften, Fachrichtung Hydrowissenschaften, Institut für Wasserchemie, Herrn Prof. Dr. Stefan Stolte, Helmholtzstr. 10, 01069 Dresden. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis
✔️ @ApplyTime
Technische Universität Dresden
At the TU Dresden, faculty of Environmental Sciences, Department of Hydro Sciences, the Institute of Water Chemistry offers, as soon as possible, a position as
Research Associate
(Subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
lasting to the end of the project on 31.12.2022 which entails 65 % of the fulltime weekly hours. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeit-vertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (e.g. PhD).
Within the framework of an ESF funded junior research group, it is the aim to develop a system for peptide-based cell-cell communication between yeasts and bacteria for technological processes. A priority objective shall be the comprehensive elucidation of control mechanisms, which are necessary for a balanced cultivation of microbial communities and the optimal exchange of metabolites, in order to enable a conscious use of those mechanisms.
Activities and responsibilities
Establishing analytical methods for the quantification of signal peptides (pheromones) using HPLC-MS/MS and modification thereof in order to meet the needs of more complex matrices and low concentrations, including pre-analytical approaches like SPE, GPC/SEC or ultrafiltration; furthermore, the quantitative determination of selected antibiotics in water and culture media samples, the deduction of kinetic data concerning the biochemical degradation of antibiotics and the characterisation of transformation products.
Qualification profile
Junior researcher, a very good university degree in the fields of chemistry, biochemistry, food chemistry, environmental sciences or similar, obtained no longer than 4 years ago (plus e.g. times of parental leave); a high level of motivation and interest in scientific and interdisciplinary research; very good knowledge of English language (written and spoken); ability to work independently and well-structured in a team with a high level of communication and cooperation within the junior research group; analytical thinking; exceptional skills in laboratory work as well as a deep understanding within the field of analytical chemistry (especially determination of peptides and antibiotics using HPLC-MS/MS, sample preparation), hydrochemistry, biochemistry and microbiology.
Send application to
Please, send your expressive application including all common documents by 09.01.2020 (stamped arrival date of the university central mail service applies) to TU Dresden, Fakultät Umweltwissenschaften, Fachrichtung Hydrowissenschaften, Institut für Wasserchemie, Herrn Prof. Dr. Stefan Stolte, Helmholtzstr. 10, 01069 Dresden. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis
✔️ @ApplyTime
TU Dresden
Information obligations according to the EU General Data Protection Regulation
Data protection declaration for the processing of personal datain the context of appointments
Data protection declaration on the processing of personal data in the context of job advertisements …
Data protection declaration on the processing of personal data in the context of job advertisements …
Call for Visiting Fellows, Spring Term 2020 - DEADLINE 10 January
The National Center of Competence in Research nccr – on the move aims to enhance the understanding of contemporary phenomena related to migration and mobility in Switzerland and beyond. Connecting disciplines, the NCCR brings together research projects from the social sciences, economics and law. Managed from the University of Neuchâtel, the network comprises ten universities in Switzerland.
Short-Term Visiting Fellowships
The nccr – on the move wishes to encourage its network members to connect with research teams abroad. We are therefore setting up short-term visiting fellowships that are available to both incoming and outgoing fellows. The grants are explicitly not a salary: instead, they are meant to cover travel, room and board expenses during the stay in Switzerland (for incoming fellows) or abroad (for outcoming fellows).
The “incoming” fellowship scheme can be used to host senior (PostDoc) and junior (doctoral) researchers from abroad who wish to collaborate with nccr – on the move in Switzerland for a duration of two to three months. The monthly installment is based on a lump-sum amount for staying in Switzerland, which amounts to CHF 3000 per month for applicants from developed countries and CHF 3500 for applicants from developing countries. In addition, one roundtrip from the place of residence to the host university is paid. Travel related to nccr – on the move events in Switzerland is reimbursed upon presentation of receipts.
The “outgoing” fellowship scheme is aimed at nccr – on the move PostDocs and doctoral students who wish to go abroad for a maximum of five months. The NCCR contributes a maximum amount of CHF 10,000 towards the stay abroad,
whereby the maximum monthly installment is set at CHF 3,000. In addition, the grant covers the cost of an outward and return journey to the host institution. We ask the nccr – on the move fellows seeking to go abroad for six months or more to apply for the official SNSF NCCR Mobility Grants, which have been created for NCCR collaborators wishing to go abroad. The Network Office can provide you with the documentation, further information and assistance in applying for these grants.
During the visit, both the incoming and the outgoing fellows pursue a small joint research project in collaboration with the team hosting them. Research projects can either be joint submissions, the preparation and/or realization of a workshop or a collaborative publication. In the framework of the “incoming” fellowships the academic guests shall participate in the nccr – on the move activities.
Based on the present call, a maximum of four fellowships will be awarded by the Scientific Committee of the nccr – on the move in January 2020.
You can find information on the nccr – on the move, the focus of the research and the individual projects on our website.
More information here.
✔️ @ApplyTime
The National Center of Competence in Research nccr – on the move aims to enhance the understanding of contemporary phenomena related to migration and mobility in Switzerland and beyond. Connecting disciplines, the NCCR brings together research projects from the social sciences, economics and law. Managed from the University of Neuchâtel, the network comprises ten universities in Switzerland.
Short-Term Visiting Fellowships
The nccr – on the move wishes to encourage its network members to connect with research teams abroad. We are therefore setting up short-term visiting fellowships that are available to both incoming and outgoing fellows. The grants are explicitly not a salary: instead, they are meant to cover travel, room and board expenses during the stay in Switzerland (for incoming fellows) or abroad (for outcoming fellows).
The “incoming” fellowship scheme can be used to host senior (PostDoc) and junior (doctoral) researchers from abroad who wish to collaborate with nccr – on the move in Switzerland for a duration of two to three months. The monthly installment is based on a lump-sum amount for staying in Switzerland, which amounts to CHF 3000 per month for applicants from developed countries and CHF 3500 for applicants from developing countries. In addition, one roundtrip from the place of residence to the host university is paid. Travel related to nccr – on the move events in Switzerland is reimbursed upon presentation of receipts.
The “outgoing” fellowship scheme is aimed at nccr – on the move PostDocs and doctoral students who wish to go abroad for a maximum of five months. The NCCR contributes a maximum amount of CHF 10,000 towards the stay abroad,
whereby the maximum monthly installment is set at CHF 3,000. In addition, the grant covers the cost of an outward and return journey to the host institution. We ask the nccr – on the move fellows seeking to go abroad for six months or more to apply for the official SNSF NCCR Mobility Grants, which have been created for NCCR collaborators wishing to go abroad. The Network Office can provide you with the documentation, further information and assistance in applying for these grants.
During the visit, both the incoming and the outgoing fellows pursue a small joint research project in collaboration with the team hosting them. Research projects can either be joint submissions, the preparation and/or realization of a workshop or a collaborative publication. In the framework of the “incoming” fellowships the academic guests shall participate in the nccr – on the move activities.
Based on the present call, a maximum of four fellowships will be awarded by the Scientific Committee of the nccr – on the move in January 2020.
You can find information on the nccr – on the move, the focus of the research and the individual projects on our website.
More information here.
✔️ @ApplyTime
Funded Research Assistantship @ Poetic Justice Group MIT Media Lab
The Poetic Justice Group (PJG) at MIT Media Lab, founded by artist Ekene Ijeoma, is accepting applications for their two-year funded (tuition, medical insurance, and a stipend) research assistantship and graduate student program.
The Poetic Justice group is looking for thinkers and makers who feel the urgency to break down the complexities of social issues and build visibility, accountability, and solidarity around them. Applicants should already be thinking critically about their disciplines and continually searching for cross-disciplinary connections. Although not required, we’re particularly interested in applicants with professional experience.
PJG is a group of critical thinkers and makers who are exploring new forms of justice through art. We question, if “Artists need to create on the same scale as society has the capacity to destroy,” as Sherrie Rabinowitz suggested in 1984, then how can social justice be expanded through conceptual art informed by computational and architectural design strategies? As some mediums are better for some messages than others, we question what new media should be used for these new forms of social justice. If a new form of social justice is searching for our truths, how can we find them at the intersections of oral histories and data studies? How can we create artworks which engage with and furthermore embody these truths? How can these artworks extend our perceptions and expose the social-political systems affecting our truths? How can the forms of these artworks function at the intersections of poetic acts and analytic insights as well as aesthetic quality and social efficacy?
We’re exploring these questions through ongoing projects which include A Counting, The Green Book Project and The Scream Project. 'A Counting’ is a site-specific multimedia artwork that counts from 1 to 100; playing different crowdsourced multilingual voice samples for every number and displaying the word in the language. The Green Book Project is a series of courses, workshops, publications and interactive installations that reimagine the Negro Motorist Green Book for “traveling while Black” in this era of “New Jim Crows.” And the Scream Project is a series of publications and interactive installations that revive the Teotihuacan folklore/ritual of women practicing catharsis in the pyramids to contemporary urban spaces.
Applications are due December 1st. You can read more about our research group here and the graduate program here.
✔️ @ApplyTime
The Poetic Justice Group (PJG) at MIT Media Lab, founded by artist Ekene Ijeoma, is accepting applications for their two-year funded (tuition, medical insurance, and a stipend) research assistantship and graduate student program.
The Poetic Justice group is looking for thinkers and makers who feel the urgency to break down the complexities of social issues and build visibility, accountability, and solidarity around them. Applicants should already be thinking critically about their disciplines and continually searching for cross-disciplinary connections. Although not required, we’re particularly interested in applicants with professional experience.
PJG is a group of critical thinkers and makers who are exploring new forms of justice through art. We question, if “Artists need to create on the same scale as society has the capacity to destroy,” as Sherrie Rabinowitz suggested in 1984, then how can social justice be expanded through conceptual art informed by computational and architectural design strategies? As some mediums are better for some messages than others, we question what new media should be used for these new forms of social justice. If a new form of social justice is searching for our truths, how can we find them at the intersections of oral histories and data studies? How can we create artworks which engage with and furthermore embody these truths? How can these artworks extend our perceptions and expose the social-political systems affecting our truths? How can the forms of these artworks function at the intersections of poetic acts and analytic insights as well as aesthetic quality and social efficacy?
We’re exploring these questions through ongoing projects which include A Counting, The Green Book Project and The Scream Project. 'A Counting’ is a site-specific multimedia artwork that counts from 1 to 100; playing different crowdsourced multilingual voice samples for every number and displaying the word in the language. The Green Book Project is a series of courses, workshops, publications and interactive installations that reimagine the Negro Motorist Green Book for “traveling while Black” in this era of “New Jim Crows.” And the Scream Project is a series of publications and interactive installations that revive the Teotihuacan folklore/ritual of women practicing catharsis in the pyramids to contemporary urban spaces.
Applications are due December 1st. You can read more about our research group here and the graduate program here.
✔️ @ApplyTime
MIT Media Lab
Group Overview ‹ Poetic Justice – MIT Media Lab
Exploring new forms of social justice through art
Amazon Alexa Shopping in London/Cambridge is hiring Applied Scientists and Applied Science Interns!
You: Alexa, I am looking for a new career opportunity! I want to do exciting and innovative work in AI and impact millions of people. What do you suggest?
Alexa: The Alexa Shopping team is looking for Applied Scientists to help me become the best personal shopping assistant. Do you want to hear more?
You: Yes, please!
The Alexa Shopping team in the UK is looking for both applied scientists and applied science interns (for summer 2020) investigating and developing machine learning and privacy enhancing technologies to help Alexa turn into the best and most trustworthy personal shopping assistant.
The ideal candidate has expertise in one or several of the following fields: Machine Learning, Applied/Theoretical Statistics, Crowdsourcing, Differential Privacy, Algorithmic Fairness. S/he also shows good intuition with the technologies behind personal assistants and the needs of customers. The ability to write clearly and speak convincingly as evidenced through participation in academic conferences and service in the scientific community are a must.
Applied Scientist: https://www.amazon.jobs/en/jobs/979175/applied-scientist
Applied Science Internships: https://www.amazon.jobs/en/jobs/1003772/2020-machine-learning-internship-alexa-shopping
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation
For more information about the position, please contact Tom Diethe (tdiethe@amazon.com) or Andreas Damianou (damianou@amazon.com)
✔️ @ApplyTime
You: Alexa, I am looking for a new career opportunity! I want to do exciting and innovative work in AI and impact millions of people. What do you suggest?
Alexa: The Alexa Shopping team is looking for Applied Scientists to help me become the best personal shopping assistant. Do you want to hear more?
You: Yes, please!
The Alexa Shopping team in the UK is looking for both applied scientists and applied science interns (for summer 2020) investigating and developing machine learning and privacy enhancing technologies to help Alexa turn into the best and most trustworthy personal shopping assistant.
The ideal candidate has expertise in one or several of the following fields: Machine Learning, Applied/Theoretical Statistics, Crowdsourcing, Differential Privacy, Algorithmic Fairness. S/he also shows good intuition with the technologies behind personal assistants and the needs of customers. The ability to write clearly and speak convincingly as evidenced through participation in academic conferences and service in the scientific community are a must.
Applied Scientist: https://www.amazon.jobs/en/jobs/979175/applied-scientist
Applied Science Internships: https://www.amazon.jobs/en/jobs/1003772/2020-machine-learning-internship-alexa-shopping
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation
For more information about the position, please contact Tom Diethe (tdiethe@amazon.com) or Andreas Damianou (damianou@amazon.com)
✔️ @ApplyTime
amazon.jobs
Applied Scientist
You: Alexa, I am looking for a new impactful role where I could tackle the next big research challenge in search, what do you suggest?Alexa: The Alexa Shopping team is looking for applied research leaders to help me become the best personal shopping assistant.…
Two Studentships in Gerontology - DEADLINE 23 January
A fully funded studentship awarded by the Economic and Social Research Council (ESRC) South Coast Doctoral Training Partnership (SCDTP) commencing in 2020/21 Academic Year.
Supervisory Team
Prof. Athina Vlachantoni and Prof. Maria Evandrou (both in Department of Gerontology, Centre for Population Change and Centre for Research on Ageing, University of Southampton)
Older persons from minority ethnic communities in the UK have been shown to be at a financial disadvantage compared to the White British population, however there remain questions about the role of pensions in ethnic elders’ income and the ways in which they prepare financially for later life. The project will combine analysis of the UK Household Longitudinal Survey with semi-structured interviews with older individuals from Indian, Pakistani and Bangladeshi communities in the UK, in order to explore the composition of ethnic elders’ income, the role of pensions in such income, and alternative (non-pension) strategies for financial adequacy in later life.
Skills Required
Essential: Background in a social sciences subject, ideally linked to ethnicity and/ or ageing over the life course; Knowledge of logistic regression modelling; Knowledge of qualitative interviewing. Desirable: Knowledge of mixed methods research; experience in using USoc or other large-scale datasets.
More info
✔️ @ApplyTime
A fully funded studentship awarded by the Economic and Social Research Council (ESRC) South Coast Doctoral Training Partnership (SCDTP) commencing in 2020/21 Academic Year.
Supervisory Team
Prof. Athina Vlachantoni and Prof. Maria Evandrou (both in Department of Gerontology, Centre for Population Change and Centre for Research on Ageing, University of Southampton)
Older persons from minority ethnic communities in the UK have been shown to be at a financial disadvantage compared to the White British population, however there remain questions about the role of pensions in ethnic elders’ income and the ways in which they prepare financially for later life. The project will combine analysis of the UK Household Longitudinal Survey with semi-structured interviews with older individuals from Indian, Pakistani and Bangladeshi communities in the UK, in order to explore the composition of ethnic elders’ income, the role of pensions in such income, and alternative (non-pension) strategies for financial adequacy in later life.
Skills Required
Essential: Background in a social sciences subject, ideally linked to ethnicity and/ or ageing over the life course; Knowledge of logistic regression modelling; Knowledge of qualitative interviewing. Desirable: Knowledge of mixed methods research; experience in using USoc or other large-scale datasets.
More info
✔️ @ApplyTime
South Coast Doctoral Training Partnership
Apply - South Coast Doctoral Training Partnership
Our call for applications for studentships commencing in 2026/27 is now open (from 26th January 2025, 12:00am) The deadline for application is 16:00 GMT 16th Jan 2026. Below are our current application procedures Application Procedure The application…