Summary
The University of Zurich is offering a 4-year PhD student position in the Luber group at the Department of Chemistry. This role focuses on advanced computational methods and their applications in various interdisciplinary areas such as catalysis and spectroscopy, with a strong emphasis on machine learning integration.
PhD Position in Computational Chemistry, Zürich, Switzerland
Designation
PhD Student in Computational Chemistry
Research Area
- Machine Learning (ML)–enhanced Catalysis
- Spectroscopy
- Advanced Computational Method Development
- Complex Systems and Catalytic Processes
Location
Department of Chemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zürich, Switzerland
Eligibility / Qualification
- Excellent Master’s degree in Chemistry, Interdisciplinary Natural Sciences, Physics, or related fields.
- Profound English language skills.
- Strong autonomous learning ability.
- Strong programming skills.
- Experience in electronic structure theory, (ab initio) molecular dynamics, catalysis, or machine learning is highly desirable.
- A highly creative, ambitious, and motivated personality.
Job Description
The successful candidate will:
- Develop advanced computational methods.
- Collaborate closely with experimental and computational groups.
- Focus on ML-assisted and ML-enhanced approaches for catalysis and spectroscopy.
- Engage in a highly interdisciplinary research environment while participating in the NCCR Catalysis network.
How to Apply
Interested applicants should send their application documents as a single PDF file, which should include:
- Cover letter
- CV
- Diplomas
- Description of research experience and motivation
- Names of at least two academic references
Additionally, the PDF may include a one-page statement discussing one or two publications of the group, highlighting what the applicant finds particularly interesting and proposing possible future improvements.
Last Date to Apply
The position is available for immediate start, with specific applications preferred soon.
Additional Information
For inquiries, contact Prof. Dr. Sandra Luber via the Contact Form.
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