Open positions

PhD Student

LTS2 (headed by prof. P. Vandergheynst) at the Ecole Polytechnique Fédérale de Lausanne (EPFL) has an opening for PhD student to join the lab’s emerging activities in data science and machine learning for applications in computational biology. This position is funded in the context of a large collaborative grant “Integrated multi-scale analysis of translation: single-molecules, omics and computation” with Jeff Chao (FMI Basel) and Felix Naef (EPFL). 

We are looking for a highly motivated new team member to further develop data processing and modeling tools for bulk and single-molecule translation experiments, in particular self-supervised deep learning methods for single molecule imaging.

We are looking for interdisciplinary profiles holding a MSc in molecular or computational biology or Computer Science (or a closely- related field) with a strong a strong interest in applications to biology. The successful candidate will work closely with our partners in the grant and will have to chance and freedom to collaborate on other exciting projects in a truly multidisciplinary environment leveraging machine learning and data science to accelerate scientific discovery.

For more information, please contact pierre.vandergheynst@epfl.ch.

Postdoc positions in Machine Learning for single molecule imaging and omics analysis of mRNA translation

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). 

 

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 pierre.vandergheynst@epfl.ch.


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 pierre.vandergheynst@epfl.ch. Submitted applications will be evaluated immediately, and the search will remain open until the position(s) is filled. 

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.

Postdoc positions in 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 pierre.vandergheynst@epfl.ch.


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 pierre.vandergheynst@epfl.ch. Submitted applications will be evaluated immediately, and the search will remain open until the position(s) is filled.

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.