Summary
The EvOmics group at Aarhus University’s Center for Quantitative Genetics and Genomics (QGG) is seeking a highly motivated postdoctoral researcher. The position is part of the SNSF-funded project “AI-driven comparative QTLomics to accelerate crop improvement,” a collaborative effort alongside partners at UniProt, the SIB Swiss Institute of Bioinformatics, and Aalborg University. The project focuses on unlocking decades of scattered QTL knowledge from plant genetics literature by combining AI-assisted expert curation, orthology inference, phylogenomics, functional annotation, and candidate gene prioritization across various crop species.
Postdoctoral Fellow in Comparative QTLomics and Plant Functional Genomics, Aarhus University, Denmark
Key Details
| Feature | Details |
| Designation | Postdoctoral Fellow |
| Employment Type | Fixed-term, Full-time |
| Duration | 3 Years |
| Expected Start Date | October 1, 2026 (or as soon as possible thereafter) |
| Research Area | Comparative QTLomics, Plant Functional Genomics, and Bioinformatics |
| Location | C.F. Møllers Allé 3, 8000 Aarhus C, Denmark |
Job Description & Main Responsibilities
The selected candidate will develop computational tools for comparative QTLomics. Key responsibilities include:
- Collecting and standardizing functional information, including QTL data, RNA-seq, and Gene Ontology (GO) annotations.
- Developing computational pipelines for QTL data integration and analysis.
- Integrating phylogenomic and functional data using machine-learning approaches for candidate gene prioritization.
- Contributing to software and web-tool development.
- Presenting research findings at international conferences.
Eligibility / Qualification Requirements
- Education: PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field.
- Technical Skills: Experience programming in Python, R, or similar languages, alongside a strong background in machine learning or deep learning methods.
- Desirable Experience: Knowledge of genomics, transcriptomics, evolutionary biology, and plant biology is an advantage. Familiarity with large biological datasets and high-performance computing clusters is preferred.
- Publications: At least one first-author peer-reviewed publication.
- Soft Skills: Proficient in written and spoken English, with the ability to work both independently and collaboratively in an interdisciplinary environment.
How to Apply
Applications must be submitted online in English via Aarhus University’s recruitment system. You can access the application portal directly through the APPLY link on the job advertisement page.
Your application must include:
- Curriculum Vitae (CV)
- Degree certificate
- A complete list of publications
- A statement of future research plans and information about research activities
- A teaching portfolio with verified information on previous teaching experience (if any)
Last Date for Apply
Sunday, August 2, 2026, at 23:59 CEST
