Phd Position: Physics-based and Data-driven

vor 2 Monaten

Munich, Deutschland Technische Universität München Vollzeit

**Chair for AI in Healthcare and Medicine (AIM lab)** **Institute for AI and Informatics in Medicine** **Klinikum rechts der Isar & Technical University of Munich (TUM)**

The lab for Artificial Intelligence in Medicine (aim-lab) focuses on AI and ML approaches for medicine and healthcare. Our aim is to develop AI and ML techniques for the analysis and interpretation of biomedical data. The group focuses on pursuing blue-sky research, including:

- AI for the early detection, prediction and diagnosis of diseases as well as for the identification of new biomarkers and targets for therapy
- Safe, robust and interpretable AI approaches as well as privacy-preserving AI approaches

We are based in the Faculty of Medicine at the Campus Klinikum Rechts der Isar (which is the university hospital of TUM) as well as in the Faculty of Informatics at the Campus Garching. Our lab is affiliated with several machine learning initiatives in Munich, including the Munich Center for Machine Learning (MCML), the European Laboratory for Learning and Intelligent Systems (ELLIS Munich) and the Munich Data Science Institute (MDSI).

We are currently recruiting a PhD student to work on an EU Pathfinder Project (HyperProbe) focusing on the development of spectral unmixing approaches for identifying biomarkers of brain activity.

**Qualifications**:

- An MSc in Computational Sciences, Physics, or related disciplines and publications and previous experience with projects in computational sciences, spectral unmixing or machine learning
- Extensive programming experience with Python and ML frameworks (e.g. Pytorch)
- Strong analytical and problem-solving skills
- Excellent communication & interdisciplinary skills
- Fluency in English (written and spoken)

**Chair for AI in Healthcare and Medicine (AIM lab)**
**Institute for AI and Informatics in Medicine**
**Klinikum rechts der Isar & Technical University of Munich (TUM)**

The lab for Artificial Intelligence in Medicine (aim-lab) focuses on AI and ML approaches for medicine and healthcare. Our aim is to develop AI and ML techniques for the analysis and interpretation of biomedical data. The group focuses on pursuing blue-sky research, including:

- AI for the early detection, prediction and diagnosis of diseases as well as for the identification of new biomarkers and targets for therapy
- Safe, robust and interpretable AI approaches as well as privacy-preserving AI approaches

We are based in the Faculty of Medicine at the Campus Klinikum Rechts der Isar (which is the university hospital of TUM) as well as in the Faculty of Informatics at the Campus Garching. Our lab is affiliated with several machine learning initiatives in Munich, including the Munich Center for Machine Learning (MCML), the European Laboratory for Learning and Intelligent Systems (ELLIS Munich) and the Munich Data Science Institute (MDSI).

We are currently recruiting a PhD student to work on the HyperProbe project developing a new optical imaging device that will provide real-time monitoring of cellular and molecular biomarkers.

**Qualifications**:

- An MSc in Computational Sciences, Physics, or related disciplines and publications and previous experience with projects in these fields
- Extensive programming experience with Python and ML frameworks (e.g. Pytorch)
- Strong analytical and problem-solving skills
- Excellent communication & interdisciplinary skills
- Fluency in English (written and spoken)

**How to apply**:
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