PhD and Postdoctoral Positions in Theoretical Chemistry – University of Fribourg, Switzerland: The Theoretical Chemistry Group at the University of Fribourg, led by Dr. Stefan Vuckovic, invites applications for two fully funded PhD positions and one postdoctoral position in the field of quantum chemistry and machine learning. These positions are funded by an ERC Starting Grant and the Swiss National Science Foundation (SNSF). The research will focus on the development of next-generation density functional theory (DFT) methods to address strong electronic correlation, noncovalent interactions, and their applications to challenging catalytic and biological systems.
PhD and Postdoctoral Positions in Theoretical Chemistry – University of Fribourg, Switzerland
Summary Table
| Position | Number of Vacancies | Duration | Funding Source | Start Date | Location |
|---|---|---|---|---|---|
| PhD Position | 2 | ~4 years | ERC / SNSF | Preferred Nov 2025 (flexible) | University of Fribourg, Switzerland |
| Postdoctoral Position | 1 | As per project funding | ERC / SNSF | Preferred Nov 2025 (flexible) | University of Fribourg, Switzerland |
Designation
- PhD Researcher (2 positions)
- Postdoctoral Researcher (1 position)
Research Area
- Quantum Chemistry
- Machine Learning for Chemistry
- Density Functional Theory (DFT) Development
- Strong Electronic Correlation and Noncovalent Interactions
- Applications to Catalysts, Metal–Organic Frameworks, and Metalloenzymes
Location
Department of Chemistry, University of Fribourg (UNIFR), Switzerland
- Situated in the bilingual city of Fribourg (German/French)
- 20 minutes from Bern and 40 minutes from Lausanne
- Affordable living compared to nearby cities
Eligibility/Qualification
Postdoctoral Position:
- PhD in Chemistry, Physics, Computational Science, or a related field
- Strong expertise in at least one of the following (more is a strong advantage):
- Machine learning practices (e.g., PyTorch implementations)
- Development and implementation of quantum chemistry methods (DFT or wave-function based)
- High-level electronic-structure calculations (e.g., CASSCF, CASPT2, FCI)
PhD Positions:
- Master’s degree in Chemistry, Physics, or a related field
- Strong motivation to learn quantum chemistry and machine learning
- Desirable skills:
- Programming (e.g., Python)
- Prior experience in computational/theoretical chemistry or machine learning
Job Description
- Conduct high-level research at the intersection of quantum chemistry and machine learning
- Develop and apply next-generation DFT methods to tackle challenges in strong correlation and noncovalent interactions
- Apply methods to catalysts, MOFs, and metalloenzymes
- Collaborate within a dynamic, interdisciplinary group with access to excellent resources
- Benefit from mentorship, training, and international networking opportunities (e.g., CECAM workshops in Lausanne)
What We Offer
- Fully funded positions with competitive salaries (ERC/SNSF)
- Excellent working conditions and project resources
- Supportive and stimulating interdisciplinary research environment
- Personal mentoring for career development
- Opportunities for networking at CECAM workshops and schools
How to Apply
Interested candidates should send one single PDF containing:
- Curriculum Vitae (CV)
- Brief Cover Letter (including previous experience & motivation)
- Names and contact details of two referees
📧 Submit applications to: stefan.vuckovic@unifr.ch
Last Date to Apply
Applications will be reviewed on a rolling basis until the positions are filled.
Preferred start date: November 2025 (flexible).
