PhD Position in Computational Chemistry: Developing Novel Approaches

vor 1 Monat


Zürich, Zürich, Schweiz University of Zurich Vollzeit

Your Responsibilities

The University of Zurich is seeking a highly motivated PhD candidate to contribute to the development and application of novel, accurate approaches for the study of functional catalytic compounds. The project will focus on the development of advanced dynamic approaches for detailed and realistic study of reaction mechanisms and reaction networks, considering environmental effects under catalytic conditions. This may involve the development of enhanced sampling and machine learning approaches.

Our group has extensive experience in modelling reactions using DFT-MD, catalysis, spectroscopy, excited states, and the development of various methodologies, including the CP2K package. The project may be carried out in close collaboration with experimental or other computational groups, such as the NCCR catalysis.

Your Profile

The ideal candidate will hold an excellent Master's degree in chemistry, interdisciplinary natural sciences, physics, or a related field, and possess profound English and autonomous learning ability skills. The successful candidate will be highly creative, ambitious, and motivated, with strong programming skills and a good understanding of electronic structure theory, (ab initio) molecular dynamics, catalysis, and machine learning.

What We Offer

We offer a vibrant, inspiring environment in a brand-new building with cutting-edge resources and research, access to world-leading supercomputers, and high-profile interdisciplinary collaborations. Funding for participation at summer schools, conferences, and other professional development opportunities is also available.

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