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.
This position is funded in the context of a collaborative SNSF Sinergia grant “Integrated multi-scale analysis of translation: single-molecules, omics and computation” with Jeff Chao (FMI Basel) and Felix Naef (EPFL).Postdoc position in Machine Learning for single molecule imaging and omics
analysis of mRNA translation
Your mission : We are looking for a highly motivated new team member to further develop data driven computational tools for biological data, in particular the analysis and modeling of single-molecule translation experiments, i.e. advancing our understanding of how ribosomes work using machine learning models.
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 2201