Summary
The Department of Agroecology at Aarhus University, Denmark, is offering a 2.5-year postdoctoral position in computational genomics. The role focuses on developing AI-driven methods, specifically integrating pangenomic information and Large Language Model (LLM)-based approaches for high-resolution gene-space assembly in complex plant genomes.
Job Details
| Designation | Postdoc |
| Research Area | Computational Genomics, Bioinformatics, AI-driven Plant Research |
| Location | Campus Forsøgsvej 1, Slagelse 4200, Denmark |
| Employment Type | Fixed-term full-time position |
| Duration | 2.5 years (1 Feb 2027 – 31 Jul 2029) |
Job Description
The successful candidate will join a research environment dedicated to computational genomics and bioinformatics. Key responsibilities include:
- Developing computational methods integrating pangenomic data and LLM-based approaches.
- Working experimentally with genomic datasets and validating sequencing workflows.
- Focusing on targeted long-read sequencing and high-resolution gene-space assembly in complex plant genomes.
- Reporting research results in high-impact scientific journals.
- Contributing to teaching activities and supervising BSc and MSc students.
- Collaborating within national and international researcher networks.
Eligibility/Qualification
Candidates must have a PhD in Bioinformatics, Computational Biology, Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline with a deep focus on plant genomics or AI applications in plant science.
Required Skills:
- Documented experience in computational genomics, pangenomic data analysis, or machine learning/deep learning.
- Ability to take initiative and contribute effectively to team environments.
- Strong motivation to pursue a scientific career.
Preferred Qualifications:
- Experience with Oxford Nanopore sequencing or other long-read platforms.
- Experience in LLM-based model development (training, fine-tuning, or evaluation).
- Familiarity with high-performance computing and algorithm optimization.
- Experience in developing research applications and teaching.
What We Offer
- A collaborative, international research environment with a supportive atmosphere.
- Flexible working conditions to support work-life balance.
- Access to professional laboratories, greenhouses, and advanced computing capacities.
- Danish social benefits including universal healthcare, subsidized childcare, and five weeks of paid holiday.
How to Apply
Applications must be submitted via Aarhus University’s online recruitment system. The application must be in English and include the following documents:
- Curriculum Vitae (CV).
- Degree certificates.
- A complete list of publications.
- A statement of future research plans.
- Information about research activities and a teaching portfolio.
Apply Link: Click here to apply
Last Date for Apply
1 December 2026 at 23:59 CET
