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ETH Zürich recruits a Doctoral Student in Computational Chemistry for a 100% fixed-term position in Zurich. The project focuses on methodology for classical MD simulations and cheminformatics, and its application to biological and chemical questions.
The PhD involves MD simulations with enhanced sampling and machine learning, in collaboration with a pharmaceutical company and an experimental lab working on cyclic peptides and protein binding.
Prof. Dr. Sereina Riniker's group for Computational Chemistry at the Institute of Molecular Physical Science is interested in the development of methodology for classical molecular dynamics simulations and cheminformatics, and in the application of those methods to address challenging biological and chemical questions.
The main Doctroal project will be in collaboration with a pharmaceutical company and an experimental academic lab focusing on cyclic peptides, protein-binding affinity, and cell permeability.
We welcome self-motivated candidates with outstanding academic record, excellent communication skills and professional integrity to apply.
The project offers research and training in computational chemistry and computer-aided drug design. Group members will not only have the opportunities to work with cutting-edge resources in a collaborative environment but also to co-work with international faculty and researchers in academia and industry, stimulating creative ideas and research opportunities.
Working, teaching and research at ETH Zurich
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.
Because the project involves collaborating with other humans, we expect you to be able to communicate effectively on your own. Please do not use any AI assistance other than proofreading tools when preparing your application for this position.
We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.
Preferred starting date: early 2027.
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.