PhD Position in Graph Learning, Molecular Diffusion Models, and Explainable AI for Life Sciences
The Junior Research Group led by Andrea Mastropietro at the Department of Life Science Informatics and Data Science, University of Bonn, and the Lamarr Institute is recruiting a PhD student.
This opportunity is ideal for candidates interested in
graph learning
,
graph neural networks
,
molecular diffusion models
,
graph transformer models
,
explainable artificial intelligence
, and
agentic AI
, with a strong application focus in
chemoinformatics
,
bioinformatics
, and
life sciences
.
The position is embedded in an interdisciplinary environment at a German University of Excellence, with collaboration opportunities across the University of Bonn, the Lamarr Institute for Machine Learning and Artificial Intelligence, and international partners. The group highlights applications in drug discovery, medical research, and healthcare.
Eligibility highlights:
applicants should hold an M.Sc. in Computer Science, Engineering, Data Science, Artificial Intelligence, Bioinformatics, Computational Life Sciences, Chemistry, Biology, or a related field. Strong programming skills are expected, with Python preferred. Experience with machine learning and deep learning frameworks such as PyTorch is important. A background in chemistry or biology is a plus, and strong written and spoken English is required.
Funding and conditions:
the role is a PhD position at TV-L E13, 50% for 3 years, based in Bonn, Germany. The post also offers access to GPU clusters and workstations and participation in teaching activities within the international M.Sc. program in Life Science Informatics.
How to apply:
email your CV, cover/motivation letter, and preferred start date/period to [email protected]. Use the subject line: APPLICATION PHD POSITION - [FIRST_NAME LAST_NAME]. Applications are reviewed on a rolling basis.
