Two PhD student positions in Computational Drug Discovery

Two PhD student positions in Computational Drug Discovery
100% / Available: 1. December 2020
The Division of Computational Pharmacy, Department of Pharmaceutical Sciences, is offering two PhD student positions to develop cutting-edge computational methodology and algorithms combining deep neural networks and detailed physicochemical modeling for drug discovery applications.
Computational methods have become an important pillar in structure-based drug design for accelerated identification and optimization of therapeutics. In addition to more traditional, physicochemical methods, recent developments in deep learning offer new directions in computational drug discovery. In our research group, we combine the best of both worlds, i.e. data-driven deep neural networks and detailed physicochemical models.

Your position

Two PhD student positions are available to extend ongoing research on the development of novel algorithms for drug design combining physics-based modeling with deep neural network concepts. The novel methods will be applied to flexible protein-ligand docking and virtual screening methods. You will use algorithms such as deep generative flow-based neural networks, graph convolutional neural networks and molecular simulations to sample the thermodynamic state of dynamic and flexible biomolecules. You will devise an innovative flexible docking pipeline with particular focus on global peptide-protein docking. As part of the project, chemical candidates predicted by our new methods will be experimentally tested by the Molecular Pharmacy group (Prof. Ricklin) at the University of Basel.

Your profile

  • MSc in the fields of Computer Sciences, Mathematics, Natural Sciences, Bioinformatics or related disciplines.
  • Strong programming skills.
  • Preferably experience in machine learning, in particular neural network concepts.
  • Fluent verbal and written communication skills in English.
  • Highly motivated, interactive team player.

We offer you

  • The project is funded by the Swiss National Science Foundation for four years.
  • Two PhD student positions (achieve PhD within a time frame of 4 years).
  • Training into the key methods of an emerging research field.
  • International and collaborative research environment.

Application / Contact
Please submit your complete application documents, including

  • letter (max. 1 page) highlighting motivation, experience and skills
  • CV
  • Diploma of Bachelor's and Master's degree
  • contact details of at least two academic references

via the online recruiting platform.

Starting date is December 2020 (or later subject to agreement). You can find out more about us at https://pharma.unibas.ch/de/research/research-groups/computational-pharmacy-2155/ .
For questions, please contact Prof. Markus Lill ( markus.lill@unibas.ch ). Apply
www.unibas.ch


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