Postdoc positions in Machine Learning for biological data

EPFL, Switzerland

Updated: about 1 year ago
Deadline: The position may have been removed or expired!

The Vandergheynst-lab (LTS2) at the Ecole Polytechnique Fédérale de Lausanne (EPFL) has an opening for a postdoctoral fellow to join the lab’s emerging research program on machine learning for biological data


Your mission :
We are looking for a highly motivated new team member to further develop data driven computational tools for biological data. Our group has several ongoing collaborations spanning the modelling of cellular processes, multi-omics data processing, graph-based machine learning for protein design, drug discovery …

Main duties and responsibilities include :
The successful candidate will work independently to develop and drive forward his/her research project, and also collaborate on ongoing projects involving ML/AI and biological data in the group. You will interact with and help supervise PhD and MSc students. Interest in teaching will be highly considered.


Your profile :

We are specifically looking for interdisciplinary profiles holding a PhD in molecular or computational biology (or a closely related field) with a strong background or interest in machine learning/artificial intelligence or eventually a PhD in CS or closely-related field and previous experience in biological data processing.

For more information, please contact [email protected] .


We offer :
EPFL is located in Lausanne – Switzerland, has a highly international environment, state-of-the-art facilities, a track record in the incubation of successful biotechnology companies, and is consistently ranked among the world’s top institutions in scientific research. Lausanne is a lively and cosmopolitan urban center located in a unique natural setting with great outdoor activities. Salaries and benefits are internationally competitive.

Start date :
The position is immediately available (winter/spring 2022) and start date is flexible.

Term of employment :
Fixed-term (CDD)

Work rate :
100%

Duration :
Contract: 1 year, renewable, maximum 4 years.

Contact :
To apply, please send your complete application in a single PDF file, including a cover letter, full CV and the contact information of 3 referees, to [email protected]. Submitted applications will be evaluated immediately, and the search will remain open until the position(s) is filled.

Reference :
Job Nb 2206


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