Postdoctoral Position in Computational Biology and Biomolecular Modeling & Design
Lausanne, CH
vor 10 Std.

Your mission :

We belong to the Institute of Bioengineering at EPFL and are also part of the Ludwig Institute for Cancer Research (LICR) in Lausanne.

While EPFL provides a world class environment for basic science and engineering, the LICR fosters translational applications of basic discoveries to cancer medicine at the highest level.

Our laboratory benefits from this dual exciting environment and interdisciplinary approaches are essential to our research.

We work at the interface of computational biology, biophysics, chemistry, and cell biology to uncover the molecular principles that regulate protein and cellular signaling.

  • Using this understanding, we (1) model and design novel protein biosensors and protein signaling networks for synthetic biology and engineered cell therapeutic applications;
  • 2) predict the effects of genetic variations on protein structure / function and protein signaling networks for personalized cancer medicine applications.

    We are part of the Rosetta Commons, a community of developers of the software Rosetta (https : / /, the premier suite for macromolecular modeling, and are actively developing novel computational approaches.

    Main duties and responsibilities include :

  • The successful candidate will work on one (or a combination) of the following projects : (1) develop, integrate machine learning and protein modeling approaches to predict the effects of genetic variations on protein structure / function and protein signaling networks for personalized cancer medicine applications;
  • 2) develop and integrate predictions of protein dynamics and allostery within the protein modeling and design Rosetta software to engineer novel protein biosensors reprogramming cellular functions for synthetic biology and cancer immunotherapeutic applications;
  • 3) further develop the software Rosetta for modeling and designing new classes of drug, lipid, peptide molecules regulating disease-associated membrane receptor functions.

    This position will open starting February 1, 2021. Your profile :

    PhD in Computational Biology, Physics, Math, Chemistry or Computer Science with demonstrated experience in either bioinformatics or macromolecular modeling.

    Ideal candidates will have strong programming skills in C / C++, python as well as a good background in either bioinformatics / machine learning or computational biomolecular modeling.

    In addition, candidates should have a record of relevant publications in peer-reviewed international journals, the ability to speak and write effectively, strong team skills, be self-motivated, and creative. We offer :

  • EPFL provides state-of-the-art facilities and is one of the leading technical universities worldwide.
  • A competitive salary is offered.
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