Postdoc: AI-Driven Plant Genomics & Stress Resilience

Aarhus Universitet; Aarhus; On-site; DKK 480,000 - 600,000; Full time

Benefits offered by this job

Mentoring for career development

Access to HPC resources

Collaborative research environment

Conference attendance opportunities

Work-life balance

Job summary

Aarhus University’s EvOmics group seeks a Postdoctoral Researcher in comparative genomics and machine learning for plant biology. The role combines plant genomics, AI, and evolutionary biology, based at QGG in Aarhus.

This two-year position (possible extension) starts 1 March 2027 or soon after, with a focus on multi-omics integration and cross-crop analyses. Responsibilities include ML-driven data collection, tool development, and identification of genes linked to stress resilience, plus

Qualifications

• PhD required in a quantitative field (bioinformatics, computational biology, CS, math, physics)
• Strong programming in Python or R; ML/DL background including GNNs
• Experience with LLMs applied to biology and multi-omics data
• Knowledge of multi-omics integration and plant biology is a plus
• Familiar with large biological datasets and HPC; team player

Responsibilities

• Apply large language models to collect, extract, and standardise functional information
• Develop tools that integrate evolutionary and functional data using comparative genomics and deep learning
• Apply methods across crops to identify conserved patterns of stress resilience
• Identify candidate genes linked to key agronomic traits related to resilience
• Contribute to software and web development

Skills

Python

R

Machine learning

Graph Neural Network

LLMs in biology

Data integration

English proficiency

Independent & collaborative work

Education

PhD in Bioinformatics/Computational Biology/CS/Math/Physics

Tools

HPC

Job description

Aarhus University’s EvOmics group seeks a Postdoctoral Researcher in comparative genomics and machine learning for plant biology. The role combines plant genomics, AI, and evolutionary biology, based at QGG in Aarhus.

This two-year position (possible extension) starts 1 March 2027 or soon after, with a focus on multi-omics integration and cross-crop analyses. Responsibilities include ML-driven data collection, tool development, and identification of genes linked to stress resilience, plus