We are looking for highly motivated PhD and post-doc candidates to join our group.
PhD and Postdoc positions


University of Lausanne (UNIL)

Work Location

Lausanne, Switzerland

Employment fraction


Type of contract


Job description

We are looking for highly motivated PhD and post-doc candidates to join our group.

Single-cell genomics technologies are revolutionizing our understanding of the heterogeneity of biological samples such as tumors. This technology enables researchers to phenotypically characterize hundreds of thousands of cells in terms of gene expression, genetic alterations, chromatin accessibility or TCR/BCR rearrangements for T/B cells. However, the increasingly large number of cells that are being studied creates new challenges for data analysis, visualization and interpretation. The successful candidate will have the opportunity to develop new algorithms to improve analysis of single-cell genomics data from tumors. These include (but are not restricted to) new developments in the recently introduced ‘super-cell’ concept applied to cancer and immune cells (Bilous et al, BioRxiv 2021). Projects involving TCR-peptide-HLA interaction analysis and predictions are also available.

Together with several experimental collaborators, we are located in the new Agora building, which crystallizes efforts in translational cancer research at UNIL, EPFL and CHUV. In addition, Lausanne offers one of the best translational research environments in the field of cancer immunotherapy with several world-renowned Institutes (Ludwig Institute for Cancer research, ISREC) and cutting-edge computational infrastructures (SIB).

Starting date is flexible.

Profile requirements

Profile requirements:

-             PhD candidates: Master in Computational Biology, Math, Physics or Computer science. The master project should demonstrate an interest and expertise in Bioinformatics.

-             Post-doc candidates: PhD in Computational Biology, Math, Physics or Computer science with demonstrated experience in Bioinformatics and at least one first-author research paper in a peer-reviewed journal. Experience with gene expression analysis and machine learning algorithms in computational immunology is a plus.

All candidates should have a strong interest in computational biology applied to cancer and immunology-related research and excellent collaborative skills with experimental biologists. Good knowledge in algorithmic developments and programming, as well as the ability to work in English (oral + written) are required.

Application deadline: 01 Nov 2021

How to apply
If you are interested in this challenging and highly interesting position, please send your application including CV and letter of motivation to: david.gfeller@unil.ch