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This position is open for an immediate start date. Applicants who intend to spend a minimum of 2 years in the position will be preferred. There is a possibility of extending the position pending future funding and progress. Applicants will be considered until the position is filled. Please highlight relevant experience in your cover letter. Questions regarding the position should be directed to Dr. Perlman at perlmansusan@wustl.edu.




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Susan B. Perlman, Ph.D.

Director Laboratory for Child Brain Development

Associate Professor

Washington University-St. Louis
Call for a PhD student in Neuroethology/ Systems Neuroscience

A fully funded PhD position is available in our research group “Instinctive Behaviour Circuits”, headed by Dr. Vanessa Stempel.

About the lab. Our goal is to identify canonical neuronal computations and plasticity mechanisms that impart flexibility to instinctive behaviours. To answer these questions, we use a state-of-the-art, multidisciplinary approach: we perform in vivo neural activity recordings and manipulation experiments in ethologically-relevant behavioural tasks in mice, and combine these with molecular, cellular and circuit-level analyses in vitro (for details see: https://brain.mpg.de/stempel).

Your profile. We are looking for an enthusiastic and innovative student with a keen interest in neuroethological approaches to systems neuroscience and strong quantitative skills. You hold an excellent Master’s degree (or equivalent) in Neuroscience or a related field (e.g. biology, physics, computer science, engineering, maths). A basic knowledge of neuroscience is preferable but not required. In exceptional cases, a BSc degree in a relevant field may be sufficient.

The successful candidate will have a track record of academic and research excellence and will be fluent in written and spoken English. Experience with experimental and data analysis techniques relevant to our research program will be a plus. We are especially encouraging students with prior experience in electrophysiological recordings and programming to apply.

How to apply. We look forward to receiving your application as one PDF-document including a letter of motivation (one page: including research experiences and future career plans), CV, Master's degree certificate and trannoscript, Bachelor's degree certificate and trannoscript.

This call will be open until the position is filled.

For further information, and to submit your application, please contact: Dr. Vanessa Stempel (vanessa.stempel@brain.mpg.de).

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Dr. Vanessa Stempel
Max Planck Research Group Leader
Max Planck Institute for Brain Research
Max-von-Laue-Str. 4
60438 Frankfurt, Germany
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Fully funded PhD Fellowships at INSAIT
The Institute for Computer Science, Artificial Intelligence, and Technology (INSAIT), created in partnership with ETH Zurich and EPFL, seeks candidates for Ph.D. Positions in Computer Science and Artificial Intelligence with Full 5-year Fellowships.

INSAIT is the first research institute in computer science and artificial intelligence located in Eastern Europe whose mission is to become one of the world's leading research and innovation powerhouses. At INSAIT, students benefit from:

Mentorship by top professors from world-class universities such as MIT, CMU, ETH Zurich, Yale, EPFL.
Outstanding working conditions that provide the freedom to think and the space to learn and grow, with a compensation of €36,000 / year gross.
Rolling admission process, accepting PhD applications at any point during the academic year.
To apply, students must hold a B.Sc. or a M.Sc. degree (or be within the last year of completing either) in computer science, data science, mathematics, physics, statistics, or electrical engineering. We welcome all excellent candidates with a strong academic background who are keen on conducting world-class research in the general field of AI and computer science.

INSAIT is a strong proponent of diversity in science, and as such, we strongly welcome applications from all under-represented groups in the field.

When ready to apply, go to: https://insait.ai/phd/

Best regards,

Boriana Shalyavska
Head of Academic Admissions and Relations
https://insait.ai/
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PhD Student - Department of Electronics and Information Systems, Ghent University, Belgium

Doctoral fellow - Department of Electronics and Information Systems, Ghent University, Belgium

If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!

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🌐 https://applytime.ir
Postdoc and senior scientist positions in ML and statistical genetics for neuropsychiatric disease

I have open postdoc and senior scientist positions to work on a National Institute of Mental Health funded project to develop latent factor and network models of ​​neuropsychiatric disease genetics. This multidisciplinary project is a collaboration with Dr. Niamh Mullins at the Icahn School of Medicine at Mount Sinai, an expert in neuropsych genetics and member of the Psychiatric Genomics Consortium.

My lab is joint between the New York Genome Center (NYGC) and Columbia University Computer Science and Systems Biology. We develop probabilistic ML and DL methods for genetics and genomics applications. Beyond this specific project there are opportunities for collaboration with diverse genomics research groups at NYGC and the rich ML/AI community at Columbia and across NYC more broadly.

Official job postings are here (but feel free to email me directly if you are interested!)

Staff Scientist (machine learning and statistical genetics), Knowles Lab

Postdoctoral researcher (machine learning and statistical genetics), Knowles Lab

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David A. Knowles (he/him/his), PhD.
Core Faculty Member, New York Genome Center.
Assistant Professor, Computer Science, Columbia University.

Interdisciplinary Appointee, Systems Biology, Columbia University.

Affiliate Member, Data Science Institute, Columbia University.

https://daklab.github.io/
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