About the opportunity
The PhD project, based at the Section for Health Data Science and AI, aims to develop a predictive computational framework for understanding the subcellular localization of polyadenylated RNAs in neurons. By integrating RNA sequence, structure, RNA-binding protein (RBP) interactions, and biological function, the research will uncover rules governing RNA localization in healthy, degenerating, and regenerating neurons. The candidate will work with datasets such as Frac-seq and N-zip, utilizing machine learning, deep learning, and feature-based classifiers. The role involves independent research, coursework, teaching, and thesis writing within an international, cross-disciplinary environment.
Salary and benefits
- Full-time, 3-year fixed-term employment contract
- Monthly salary starting at approximately 31,850 DKK (August 2026 level) plus pension
- Access to excellent computational infrastructure and supercomputing resources
- Opportunity to participate in an international research environment with seminars, workshops, and retreats
Who can apply?
- Master's degree (equivalent to a 2-year Danish MSc) in bioinformatics, computer science, computational biology, or a related field
- Highly experienced in Python
- Strong experience in Linux/Unix environments, including command-line tools and shell scripting
- Solid understanding of algorithms, data analysis, and machine learning theory and practice
- Familiarity with basic RNA structure algorithms and programs
- Excellent written and spoken English skills
Required documents
- Motivation letter detailing how you meet the essential and desirable skills
- CV including education, work/research experience, and language skills
- Certified copy of Master's diploma and transcript of records (with authorized English translation if applicable)
- List of publications (if any)
- Personal recommendations (or an explanation if not available)
When to apply
- Application deadline: November 4, 2026, 23:59 CET
- Start date: February 1, 2027
How to apply
- Prepare all required documents in PDF format
- Submit the application online via the official University of Copenhagen job portal using the 'Apply for position' link
Additional information
- The position is subject to successful enrollment as a PhD student at the Graduate School at the Faculty of Health and Medical Sciences
- The research group is currently located on Frederiksberg Campus but will move to the City Campus at the Municipal Hospital on Øster Farimagsgade
- The position is covered by the Job Structure for Academic Staff at Universities 2025
Our Take on This Opportunity
This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.
You may be a strong fit if…
- Candidates with a strong computational background who are eager to apply machine learning and deep learning to complex biological datasets.
- Researchers interested in the intersection of RNA biology, neuroscience, and bioinformatics.
- Individuals who thrive in international, collaborative research environments and possess strong communication skills.
What should you think carefully about?
- The position requires a specific academic background; ensure your Master's degree is equivalent to a 2-year Danish MSc before applying.
- The role involves a mandatory teaching component and the completion of PhD courses, which will require balancing research time with educational duties.
- Relocation to Copenhagen will be necessary for the duration of the 3-year contract.
How could this fit your current goals and plans?
This PhD position is an excellent opportunity for early-career researchers to gain specialized expertise in computational biology and RNA structure analysis. It provides a structured, fully-funded path to a doctoral degree within a top-ranking European university, offering the necessary resources and international exposure to build a strong foundation for a future career in academia or industry.
Our take
This is a highly suitable opportunity for motivated candidates with a solid foundation in bioinformatics and machine learning who are looking to pursue a PhD in a cutting-edge, interdisciplinary field. It is less suitable for those without the required technical proficiency in Python and Linux or those who do not hold a qualifying Master's degree.
Ready to apply?
Review the opportunity on the official website before applying.
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