PhD (m / f / d) Statistical Genetics / Machine Learning

Biomedical Informatics and Genetic Phenotype Redefinition Research Group

Institute of Clinical Molecular Biology (IKMB), Kiel University & UKSH

The Biomedical Informatics and Genetic Phenotype Redefinition Research Group at the Institute of Clinical Molecular Biology (IKMB), Kiel University (CAU) and the University Medical Center Schleswig-Holstein (UKSH), is seeking a PhD student with a strong background in statistics, machine learning (ML) / artificial intelligence (AI), or bioinformatics.

Our group develops novel computational and statistical methods for the analysis of large-scale genomic, clinical, and phenotypic data, including phenome-wide association studies (PheWAS), statistical genetics, and precision medicine applications. This includes the development of scalable software tools and pipelines, potentially leveraging GPU / FPGA accelerators. Our aim is to build next-generation molecular atlases for chronic diseases and to improve patient stratification for personalized prevention, diagnosis, and therapy.

We collaborate closely with the Department of Computer Science (CAU), the Comprehensive Center for Inflammation Medicine (CCIM), and the Competence Centre for Genomic Analysis (CCGA). As part of the Cluster of Excellence “Precision Medicine in Chronic Inflammation” (PMI), our group has published more than 100 peer-reviewed publications, including numerous high-impact articles in statistical genetics, biomedical data science, bioinformatics and genomics.

Join our team

Join our team and support us as soon as possible , initially on a fixed-term contract for 3 years , with the possibility of extension subject to performance and funding availability.

What we offer you :

• Competitive salary according to TV-L E13 (75%), subject to collective bargaining regulations
• An interdisciplinary, data-rich research environment with access to biobank-scale genomic datasets and state-of-the-art technologies
• Close collaboration with computational experts, core facilities (Genomics and Bioinformatics), and partners within the PMI Excellence Cluster
• Opportunities for conference participation, workshops, and advanced training
• Flexible working hours and support in balancing work and family life

What you can expect :

Your profile :

We look forward to receiving your application on 30.01.2026 , quoting reference number 27697 .

How to apply :

Please send your cover letter, CV, academic transcripts (BSc / MSc), and the names and contact details of two references as PDF (for technical reasons, a maximum of 10 MB per uploaded pdf document)