PhD Position in the interdisciplinary Research Training Group (RTG) 2543 (Intraoperative multi-sensor tissue identification in oncology)
Project A2: Endoscopic multispectral sensor system for optimized tissue discrimination
to be filled by 1 April 2026 for a contract period of 3 years
New surgical methods aim to minimize invasiveness, morbidity and duration of the treatment while maximizing the effectiveness. During these surgical interventions, a reliable identification of target structures and surrounding tissue is of major importance for achieving this objective, particularly in the field of oncology. The RTG focuses on intraoperative tissue identification. The fusion of novel multimodal sensor systems by means of machine learning offers a high potential for new procedures to discriminate between tissues that goes beyond the information content of the separate sensor data. Please find more information here:
https://www.grk2543.uni-stuttgart.de/en/research/
The project A2 aims to develop a hyperspectral, minimally invasive sensor capable of distinguishing healthy from malignant tissue using only a few but optimized complex spectra in the VIS/SWIR range. The approach focuses on combining selected spectral bands to achieve high-speed, high-resolution intraoperative tumor diagnostics, particularly for tissue-sparing resections of early-stage cervical and breast cancers. By extending conventional hyperspectral imaging toward real-time endoscopic applications, the method enables accurate tumor differentiation.
Remuneration
The remuneration is based on the collective bargaining agreement for the public service TV-L according to remuneration group E13 (100%). The position is limited to 3 years.
Starting Date
1 April 2026
The application deadline ends by 8 February 2026.
The workplace will be in Stuttgart.
Applications (in German or English) including informative documents, a cover letter, signed CV, copies of earned university degrees, and transcripts of individual grades are to be sent in digital form (one pdf document)
· Excellent master degree in engineering (mechanical, electrical, cybernetics), physics or a related field, ideally in medical engineering.
· Interest in medical technologies and motivation to work with tissue samples in an interdisciplinary group of engineers and surgeons.
· In-depth knowledge of optics, optical metrology, optical design (e.g. ZEMAX), signal and image processing.
· Knowledge of machine learning techniques, programming languages (Python, C/C++)
· Good communication and team skills
Stellenmerkmale
Dein Beschäftigungsumfang
Vollzeit (befristet)
Dein Gehalt
E13
Dein Arbeitsplatz:
z.T. im Homeoffice
Dein Büro:
Raum Stuttgart