PhD Student (gn*) Machine Learning
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!
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
- Masters 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
Benefits
- 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 payment, and company pension plan (VBL)
- A respectful and appreciative work environment within a diverse team