Summary
Applications are invited for a PhD fellowship/scholarship at Aarhus University, Denmark, focusing on Quantum-Enhanced Computational Chemistry for Drug Discovery. The project aims to develop advanced computational tools for drug design, combining traditional methodologies with quantum computing.
PhD Positions in Quantum-Enhanced Computational Chemistry for Drug Discovery, Aarhus University, Department of Chemistry, Denmark
Designation
PhD Fellowship in Quantum-Enhanced Computational Chemistry
Research Area
- Development of high-accuracy ab-initio derived force fields
- Gaussian Process Regression (GPR) methods for potential energy surfaces
- Quantum statistical mechanics for free energy calculations
Location
Aarhus University, Department of Chemistry, Langelandsgade 140, DK-8000 Aarhus C, Denmark
Eligibility/Qualification
- Master’s degree or at least one year in a Master’s program in computational chemistry, quantum chemistry, quantum physics, quantum computing, or related fields
- Strong programming experience is highly desirable
Job Description
- Develop and implement new theoretical models in computational chemistry.
- Collaborate with supervisors, PhD students, and postdocs, as well as industry partners.
- Focus on integrating quantum computational algorithms to enhance computational methods.
- Engage in research within a supportive environment at the Department of Chemistry.
How to Apply
- Prepare a motivation letter emphasizing interest in the research topics.
- Upload a project description (copy of the provided project description) in PDF format.
- Visit the Aarhus University application portal to apply.
- Select the May 2026 Call with a deadline of May 1, 2026, at 23:59 CEST.
- Choose the “Chemistry” program and select the PhD position in Quantum-Enhanced Computational Chemistry.
Last Date to Apply
May 1, 2026, at 23:59 CEST
For any inquiries, please contact:
- Professor Ove Christiansen: ove@chem.au.dk
- Associate Professor Frank Jensen: frj@chem.au.dk
This opportunity aspires to foster talent in computational chemistry and encourages applicants from diverse backgrounds.
