Master thesis in computer assisted navigated surgery - September/October 2025, 6 months
Berlin, Berlin Heinrich-Heine-Platz 10, Germany
Our team is specialized in the development of clinical navigation systems for minimally invasive ENT surgery. Clinical navigation systems (Stryker Scopis System) are used to guide surgeons by displaying the position of medical instruments on three-dimensional CT or MRI data of the patient, and ultimately to precisely reach anatomical targets. The team uses the latest technologies such as computer vision, augmented reality and AI for computer-assisted surgery.
Our offer to you
We are offering a Master Thesis in area of Interactive Guidance for Navigated ENT Surgery .
You will learn and apply the latest technologies in machine vision, computer graphics, human-computer interaction and interactive systems.
You will have the opportunity to develop prototypes for our Surgical Navigation System and support our team with your proof-of-concept application.
You will implement your solution using C++ or Python and Matlab and evaluate it in an ecosystem consisting of state-of-the-art navigation and imaging systems.
You will be an active member of our international and interdisciplinary research and development team.
That makes you stand out
You are studying for a master’s degree in computer science, medical engineering, mathematics, physics or a comparable subject.
You have experience with object-oriented programming languages (C/C++), script languages (e.g. Python, Matlab) and preferably libraries (OpenCV, Qt, DCMTK).
You have a good grasp of mathematics.
You want to tackle challenging problems in medical engineering.
You have a good command of English and ideally a good command of German.
You work independently, are highly motivated and committed, and are prepared to take on responsibility quickly.
Start Date: September or October 2025
Duration: 6 months
Location: Berlin
We offer an: attractive salary, generous holiday entitlement, training and mentoring and flexible working hours
Diversity is important to us. We welcome applications from people regardless of their ethnic, national or social origin, gender, disability, age or sexual identity.
We look forward to receiving your complete online application with all relevant documents (letter of motivation, current CV, diplomas and course transcripts). Please note that all attachments should be uploaded directly to the 'CV' section of the application process.
If your application is successful, you will first have a short telephone interview with our University Talent Acquisition team. If all goes well, this will be followed by a one-hour video interview with the department. We will then contact you with final feedback.
Travel Percentage: None* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Computer Vision Engineering Mathematics Matlab OOP OpenCV Physics Python Research
Perks/benefits: Flex hours
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