Postdoctoral position in Applied AI for Drug design

WorkplaceZurich, Zurich region, Switzerland



In der aktuellen Covid-19 Situation laufen die Rekrutierungen weiter. Es kann dabei allerdings zu Verzögerungen kommen. Vielen Dank für Ihr Verständnis.

100%, Zurich, fixed-term

The Computer-Assisted Drug Design group of Prof. Gisbert Schneider at ETH Zürich is seeking a candidate for a Postdoctoral position in Applied AI for Drug design.

Job description

The group of Computer-Assisted Drug Design (CADD) seeks a Postdoctoral Fellow in artificial intelligence (AI)-supported drug design. The candidate should have excellent expertise in chemoinformatics and should be versed in advanced AI methods such as deep neural networks and generative models. The task is to develop and apply innovative methods for prospective anti-infective drug discovery, as a member of an international research team.

We offer an interdisciplinary working environment. State-of-the-art computational resources are available. The project offers and requires strong interactions with the research of the CADD group and our extramural partners, and the willingness to work as a member of a team. Candidates should be highly motivated, self-organized, creative, display initiative, and used to thinking sideways. Excellent command of the English language is expected. The willingness to assist in the supervision of PhD candidates as well as in teaching is expected. The candidate should be able to perform research and act as a supervisor in a work-from-home setting.

Your profile

The successful candidate should have a track record in chemoinformatics and applied machine learning. Strong programming skills are required. A solid understanding of chemical structures and drug discovery is mandatory. While the position is theoretically oriented, the successful candidate should be able to understand the meaning of a multitude of experimental data types. Finding the appropriate representation of chemical and biological data, dealing with experimental error, and multi-parameter optimization are part of the challenge in drug design. Experience with Linux based GPU system is required to maintain and operate local computational resources.

ETH Zurich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
Working, teaching and research at ETH Zurich


We look forward to receiving your online application with the following documents:

  • a cover letter stating your motivation for this position
  • a comprehensive CV including publications and presentations
  • diplomas and a list of courses attended (transcript)
  • at least one letter of reference

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

For further information please contact Dr. Jan Hiss, jan.hiss (no applications!), and visit our website ?" target="_blank" rel="nofollow"> .

Apply online now


In your application, please refer to and reference JobID 52110.

More job offers worldwide on

Related Continuing Education Programs