Summary
The Center for Quantitative Genetics and Genomics (QGG) at Aarhus University, Denmark, is seeking applications for a two-year postdoctoral position in plant regulatory genomics and artificial intelligence. This role involves designing new sequence-to-expression deep learning models to predict gene expression from DNA sequence in plants. A significant component of the position includes a 6- to 12-month research stay at Cold Spring Harbor Laboratory (CSHL), USA, fostering collaboration between plant genomics expertise at Aarhus and AI expertise at CSHL.
Postdoctoral Research in Plant Regulatory Genomics and Artificial Intelligence at Aarhus University
Designation
- Postdoctoral Researcher
Research Area
- Plant Regulatory Genomics
- Artificial Intelligence (AI)
- Deep Learning
- Computational Genetics
- Bioinformatics
Location
- Primary Location: C.F. Møllers Allé 3, 8000 Aarhus C, Denmark (Aarhus University)
- Research Stay: 1 Bungtown Rd, Cold Spring Harbor, NY 11724, United States (Cold Spring Harbor Laboratory)
Eligibility/Qualification
- Applicants should hold a PhD in computer science, bioinformatics, or a related field, or expect to complete it before the start date.
- Demonstrated research experience in deep learning is required.
- Applicants are expected to have published in international peer-reviewed journals, preferably on topics related to AI and genomics.
- Experience in developing new deep learning techniques (model architectures or learning objectives) is particularly relevant.
- Good communication skills in English are essential, along with the ability to work effectively in an interdisciplinary team.
Job Description
As a Postdoctoral Researcher, you will advance the field of artificial intelligence applied to regulatory genomics as part of the GRASP project, funded by the Independent Research Fund Denmark. Your responsibilities will include:
- Leveraging new training datasets.
- Building novel deep learning architectures.
- Defining dedicated learning objectives to understand the effects of genetic variants on gene expression.
- Focusing on data science and genomics in the model plant species, Brachypodium distachyon.
- Proposing new solutions to predict the effects of regulatory variants in plant genomes.
- Collaborating closely with the Koo lab at Cold Spring Harbor Laboratory (CSHL), USA, including a mandatory 6- to 12-month research stay.
The position offers access to computational resources, including the GenomeDK high-performance computing cluster with high-memory nodes and state-of-the-art GPUs. You will work in an interdisciplinary environment, exchanging knowledge across machine learning, bioinformatics, biology, and quantitative genetics, with applications in plant biology, agriculture, and biomedicine.
How to Apply
Interested candidates should submit their application through the official Aarhus University application portal. Specific instructions and required documents can typically be found on the application page linked below.
Last Date for Apply
November 20th, 2026, at 23:59 CET
Apply Link
