PhD Student/Machine Learning Specialist (gn*)
Fixed term of 3 years | Full-time with 100% | Salary according to TV-L E13 | Institute of Medical Informatics | Job ID: 11715
We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility - ideally with you on board
The position is based at the Institute of Medical Informatics within the research group Machine Learning for Biomedical Data led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves scientists of the University, University Hospital, and Max Planck Institute Münster as well as of the RWTH Aachen. Our central objective is to elucidate the genetic, molecular, and cellular mechanisms governing the formation and function of the testis, production and function of sperm, fertilisation, as well as early embryonic development - in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis.
The research group of Dominik Heider focuses on machine learning and data-driven methods for addressing biomedical questions of high clinical relevance, with an emphasis on innovative approaches to complex disease processes and large-scale omics data analysis.
RESPONSIBILITIES:
Developing innovative methods from the field of machine learning for biomedical data, e.g., explainability, interpretability, and causal inference
Contributing to the design of novel algorithms and models for the analysis of large-scale omics datasets
Multi-modal machine learning model development and data integration
Participating in the Integrated Research Training Group "Reproduction.MS PhD-Training Centre in Translational Science"
REQUIREMENTS:
Master's degree in Computer Science, Data Science, Medical Informatics, or a related discipline
Knowledge of machine learning, statistics, and algorithm development
Experience in the analysis of biological data (e.g., omics technologies) is desirable
Programming skills (e.g., Python, R, C/C++)
Motivation for scientific work and willingness to contribute to an interdisciplinary team
Good English communication skills (spoken and written); German skills are advantageous
WE OFFER:
State-of-the-art computing infrastructure
Competitive, interdisciplinary, and international research environment with a track record of intense mutual collaboration
Structured PhD-training programme with a wide range of professional development opportunities
Salary according to tariff agreement, extra annual