Data-Driven Inverse Modeling for Brain Tumor Analysis

15.04.2025, Abschlussarbeiten, Bachelor- und Masterarbeiten

Within the framework of the HyperProbe project, we aim to develop a next-generation intraoperative imaging system driven by principles of inverse problems and computational modeling. This all-optical system will provide real-time feedback during brain tumor resections.

Your role will be to formulate and solve inverse problems arising from hyperspectral data, leveraging computational modeling, optimization techniques, and physical constraints to extract tumor tissue biomarkers.

Your qualifications:

• Strong interest in applying mathematical and computational techniques to real-world biomedical challenges
• Background in inverse problems, optimization, or numerical analysis
• Experience with scientific programming, ideally in Python
• Educational background in Applied Mathematics, Computational Science, Physics, or a related quantitative discipline

What we offer:

• A high-impact research project that bridges applied mathematics and medical imaging, with the potential to improve outcomes in neurosurgery
• Close supervision and mentoring within a collaborative, interdisciplinary environment
• Access to state-of-the-art computational infrastructure and domain experts in imaging, numerical modeling, and clinical practice

How to apply:
Send an email to ivan.ezhov@tum.de with your CV and academic transcript.

Kontakt: ivan.ezhov@tum.de