Researcher/Doctoral Student (m/f/d) for Intraoperative Data Fusion and Analysis

Application deadline: 21.11.2025

The Clinic for Internal Medicine II, Gastroenterology at the University Hospital Würzburg is seeking as a PhD candidate starting as soon as possible a

• Competitive salary based on the TV-L E13 depending on degree and experience.
• Access to state-of-the-art research facilities including our own GPU-server and collaboration with leading clinical centers across Germany.
• Extensive professional development opportunities, including internal and external training and financial support for conferences.
• Benefits such as free gym access, childcare facilities with extended hours, reduced parking fees, and a public transportation subscription.
• Assistance with housing through our internal residential market and apartment houses.
• The opportunity to live and work in Würzburg, a vibrant city renowned for its academic excellence, cultural attractions, and beautiful surroundings (www.mainfranken.org).
• This position is initially temporary, with a high likelihood of extension based on performance and project needs.

This project focuses on innovative surgical cancer treatments. Using confocal laser endomicroscopy, robotic surgery, and AI, we aim to improve the precision of cancer surgery. You will develop an interactive video stream capture system that analyzes various image sources, applies AI, and assists surgeons in preserving healthy tissue when removing cancerous tissue.
As a software engineer (m/f/d), you will play a vital role in advancing our research and creating innovative solutions, including:

• Build a modular video signal grabbing + AI-application platform for synchronized real-time analysis of different video signals (endoscopic, surgical-robot, and confocal laser endomicroscopy) on the NVIDIA Jetson AGX Orin platform.
• Be a part of the team: Surgeons (ENT & Visceral Surgeons), internists, UX/HMI experts, and computer scientists.

Required:

• Master’s degree/Diploma in Computer Science, Mathematics or Games Engineering
• Python (and C++ as needed); video pipelines via e.g. GStreamer, FFmpeg, OpenCV; on-device acceleration using CUDA/TensorRT
• Experience with medical data analysis, image registration and machine learning..
• Proficiency in English (C1 level).
• Experience in scientific research with proven track record of published work in peer-reviewed journals with a focus on medical applications.
• Strong motivation, initiative, and teamwork orientation.
• Residency in Germany to enable a quick start.

Optional:

• German language skills (not mandatory).

• Anspruchsvolles, vielfältiges und entwicklungsfähiges Aufgabengebiet
• Attraktive Bezahlung nach TV-L inkl. Jahressonderzahlung
• Aus- und Weiterbildung in der eigenen Akademie
• Betriebliche Altersvorsorge
• Betriebskindertagesstätte mit verlängerten Öffnungszeiten
• Betriebssportangebote
• Flexible Arbeitszeiten dank Gleitzeitregelung
• Jobrad
• Mitarbeiter Angebote