Summary
The University of Copenhagen is inviting applications for a PhD fellowship focused on the application of AI in Analytical Chemistry. The project aims to develop deep learning methods for the automated detection and identification of small molecules from chromatography and mass spectrometry data.
Designation
PhD Fellow
| Details | Information |
|---|---|
| Research Area | AI for Analytical Chemistry |
| Location | Department of Computer Science, University of Copenhagen |
| Eligibility/Qualification | – Master’s degree in Computer Science, Applied Mathematics, Bioinformatics, or related fields. – Background in analytical chemistry or cheminformatics is beneficial but not required. – Strong interest in AI and scientific applications. |
| Job Description | – Conduct independent research on deep learning methods. – Complete PhD courses (approx. 30 ECTS). – Participate in research environments and teaching activities. – Write scientific papers and defend a PhD thesis. |
| How to Apply | Submit the following documents electronically: 1. Motivated letter of application (max. one page) 2. Curriculum Vitae 3. Original diplomas and transcripts 4. Publication list (if available) 5. Reference letter |
| Last Date to Apply | 20 May 2026, 23:59 GMT +2 |
Additional Information
- Application Process: Selected candidates will undergo academic assessment by an unbiased expert. Interviews are expected in weeks 25-26 of 2026.
- Contact for Queries: For specific information, contact Professor Mads Nielsen (madsn@di.ku.dk) or Assistant Professor Svetlana Kutuzova (svegal@di.ku.dk).
The University of Copenhagen encourages applicants of all backgrounds to apply.
