Job
In this job, you will develop algorithms for analyzing surgical image and video data, optimize methods for intraoperative navigation, and maintain scientific software pipelines for AI applications in surgery.
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Your role in the team
- Development and implementation of computer vision and machine learning methods for analyzing surgical image and video data.
- Development and evaluation of algorithms for detecting, segmenting, and spatially mapping anatomical structures in preoperative and intraoperative imaging data.
- Processing, structuring, and analysis of multimodal surgical data (including surgical videos, tracking systems, and preoperative imaging).
- Contributing to procedures for intraoperative navigation and computer-assisted surgery.
- Design and evaluation of AI-based analysis methods for surgical workflows and operative steps.
- Development and maintenance of scientific software pipelines for data preprocessing, model training, and reproducible evaluation.
- Quantitative evaluation and statistical comparison of algorithmic methods.
- Literature review of the current state of the art in computer vision, surgical data science, and AI in surgery, as well as contributions to scientific publications.
Our expectations of you
Education
- Completed bachelor’s or master’s degree, or higher, in computer science, medical informatics, electrical engineering, biomedical engineering, or a comparable field of study.
Qualifications
- In-depth knowledge of computer vision and machine learning.
- Interest in clinical issues and interdisciplinary collaboration with surgeons.
- Independent, structured, and reliable approach to work.
- Very good written and spoken German and/or English skills.
Experience
- Very strong programming skills in Python and experience with deep learning frameworks (e.g., PyTorch).
- Experience in scientific software development (e.g., Git, Linux, GPU-based training) is desirable.
- Experience with medical image or video data is an advantage.
What we offer
- An employment contract initially limited to one year, with the option to extend.
- An industry with a future: You’ll benefit from a secure, future-oriented position at one of the largest and most prestigious university hospitals in Germany and Europe.
- Versatile role: Your area of responsibility offers a varied and exciting role with a wide range of development opportunities.
- Onboarding and collaboration: You will receive comprehensive onboarding and become part of a team known for its openness, willingness to help, and open, equal-footing communication.
- Work and personal life: We support your work-life balance with flexible part-time or full-time working hours (at least 30 hours per week).
- Workplace in southwest Munich: You will work at the Großhadern Campus, which is easily accessible by public transport and car.
- Compensation is based on the collective agreement for public-sector employees of the German federal states (TV-L), including all allowances customary in the public sector.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
The LMU Klinikum - Campus Großhadern is part of the largest university hospitals in Germany and Europe, providing comprehensive medical care. It is integrated into Ludwig Maximilian University of Munich and includes numerous specialized clinics and interdisciplinary centers.
- Established Company
- Onsite, Hybrid
- Healthcare, Social Sector
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