Research Assistant (Doctoral Researcher/PhD)

for developing knowledge-centric AI for real-world applications (e. g., geometric deep learning or graph neural networks in the bio-medical domain). Starting as soon as possible, the position is offered for a period of three years, if no former times of qualification must be considered. The position is fulltime with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13).

You will be part of a dynamic and highly motivated research group (https://bckrlab.org). We focus on high impact applications and work on knowledge-centric AI and biomedical machine learning including multi-omics integration, single cell analysis, and sequential data mining. The group provides a strong network to local AI expertise (e. g., Hessian.AI, TU Darmstadt), large scale compute infrastructure, as well as a broad international network (Stanford, UC San Diego, Lund (Sweden) or McGill (Canada)).

Tasks:

• developing novel knowledge-centric artificial intelligence methods for understanding complex systems (e. g., graph and geometric deep learning, LLMs, Explainable AI, pattern mining, ...)
• national and international collaborations with AI researchers and domain experts (biomedicine, immune system understanding, pregnancy, neurodegenerative diseases, behavioral modeling, …)
• conducting high‑impact open research: contribute to open‑source toolkits, (co-)author peer‑reviewed conference and journal publications, present results internationally
• scientific services in research and teaching, including the supervision and mentoring of junior students

The position is limited to a time period deemed adequate for the completion of a doctoral degree. As part of the assigned duties, there will be ample opportunity to conduct the independent scientific research necessary for the completion of a doctorate. The limitation complies to § 2, 1 WissZeitVG.

Profile:

• MSc-degree or equivalent in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning (optimally with very good grades)
• strong interest in developing AI for real-world applications
• experience in developing AI models and/or strong theoretical background
• structured, self-managed and team-oriented working style with strong communication skills
• ability to work in interdisciplinary teams and strong commitment to your own scientific development
• proficiency in written and spoken English as well as excellent presentation skills of research results

Disposition to own scientific qualification (e. g. a doctorate project in the area) is expected.

We actively support the professional development of junior researchers by the offers of Marburg Research Academy (MARA), the International Office and the Higher Education Didactics Office.

We offer:

• a stimulating, interdisciplinary research environment in a growing, ambitious, team-oriented research group on knowledge-centric AI and bio-medical, environmental, and behavioral research
• integration in AI and bio-medical expert networks including the newly established AI Space at the University of Marburg, the Hessian Center for Artificial Intelligence (Hessian.AI, TU Darmstadt), and the UKE Hamburg
• an extensive international network including Stanford, UC San Diego, McGill (Canada) or Lund (Sweden)
• access to state-of-the-art technology, large-scale compute clusters (e. g. via Hessian.AI), as well as excellent research infrastructure
• strong and active support for personal and academic development, including leadership in research projects and group management, teaching experience and supervision of academic theses
• a university with diverse applied focal points including tumor research, synthetic microbiology, neurosciences, and earth sciences as well as a wide variety of amenities

We support women and strongly encourage them to apply. In areas where women are underrepresented, female applicants will be preferred in case of equal qualifications. As a certified family-friendly university, we support our employees in balancing family and career. A reduction of working time is possible. Applicants with a disability as discribed in SGB IX (§ 2 Abs. 2, 3) will be preferred in case of equal qualifications. Application and interview costs can not be refunded.

Please apply by 16th November 2025 using the application-button below.