PhD Fellowship in Simulation-Supervised Machine Learning for Biology
University of Copenhagen
The University of Copenhagen is recruiting a PhD fellow in simulation-supervised machine learning for biological data in the IMAGE section of the Department of Computer Science.
The application window for this cycle has ended. The programme page tracks the next cycle.
Source visited 21 Aug 2026 (UTC). A source visit does not establish every employment term or confirm that applications remain open.
- Reviewed evidence is not available for: deadline, employment terms, requirements, application link.
Vacancy terms
- Career stage
- Doctoral researcher
- Employment type
- Not stated
- Contract
- Not stated
- Contract ends
- Not stated
- Original contract term
- Full-time PhD employment for maximum three years
- Schedule
- Not stated
- Workplace
- Not stated
- FTE
- Not stated
- Salary
- Not recorded
- Department or school
- Not stated
- Posted
- Not stated
Responsibilities
- Develop simulation-supervised machine-learning methods for biological data.
- Participate in the IMAGE research environment and complete PhD research and training.
Qualifications and requirements
Qualifications
- Relevant master’s-equivalent degree for the regular PhD programme.
- Strong quantitative background relevant to machine learning and scientific computing.
Requirements
- Ability to conduct PhD research in simulation-supervised machine learning for biology.
- English-language application and research communication.
Documents and steps
Documents
- Reference contacts
- Thesis if available
- Representative publication, project or code
- Reference letters if available
- Publication list if available
- Curriculum vitae
- Diplomas and transcripts
- Motivated letter
Steps
Review the project and PhD-programme eligibility.
Prepare motivated letter, diplomas and transcripts, CV, representative project/code, thesis if available, references and publication materials.
Submit through the official University of Copenhagen vacancy by 15 September 2026.
Sources behind this vacancy
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PhD Fellowship in Simulation-Supervised Machine Learning for Biology
Use the enduring programme page to check for a verified newer cycle. A closed vacancy never implies that another round is open.
Programme overview and cycle history