Join Switzerland's largest university and work in an inspiring environment focused on cutting-edge research and education. This position offers you the chance to use your talent and skills in a vibrant setting where chemistry, biology, physics, and materials science come together.
Your tasks
- Develop advanced computational methods for catalysis and spectroscopy, with a focus on machine learning (ML)–enhanced approaches
- Work on projects such as ML-assisted sampling, ML-enhanced vibrational and electronic spectroscopy, embedding methods for complex and catalytic systems, and ML for complex liquids or interfaces
- Define your precise research topic together with your supervisor, based on your interests and expertise
- Collaborate closely with experimental and computational groups, including the NCCR Catalysis network
What you bring
- Excellent Master's degree in chemistry, interdisciplinary natural sciences, physics, or a related field
- Strong English language skills
- Ability to learn independently
- Highly creative, ambitious, and motivated
- Strong programming skills
- Experience in electronic structure theory, ab initio molecular dynamics, catalysis, or machine learning is highly desirable
What we offer
- Work in a brand-new building with cutting-edge resources and research facilities
- Access to world-leading supercomputers
- Be part of high-profile interdisciplinary collaborations
- Funding available for participation in summer schools and conferences
- Wide range of attractive employee offers
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Über uns
The University of Zurich is Switzerland's largest university, offering a dynamic and inspiring environment with top research and education. With around 10,000 employees and diverse opportunities, UZH is a leading place to grow your career in science.