Overview
A master's thesis in Technology and Software, Data and Analytics, Engineering, Science and Healthcare, Energy and Sustainability at ZEISS, based in Karlsruhe; Germany. The application deadline is not specified. Compensation is not specified in the listing.
Key facts
- Opportunity type
- Master's thesis
- Organization
- ZEISS
- Location
- Karlsruhe; Germany
- Field / discipline
- Technology and Software, Data and Analytics, Engineering, Science and Healthcare, Energy and Sustainability
- Application deadline
- Deadline not specified — apply early
- Funding / compensation
- Pay not specified
- Duration
- See source description
- Last source check
- 12 Oct 2026
Project description
Motivation for the WorkTurning today's research into tomorrow's applications – together. At ZEISS, we focus on user-centric innovation to transform ideas into cutting-edge solutions. The ZEISS Innovation Hub @KIT fosters collaboration between students, researchers, and industry professionals to drive technological advancements.Your RoleIntegrated into a team of scientists and research engineers, you will work on research projects in surgical robotics.Developing concepts for surgical 3D scene understanding and computer-assisted surgery, with a focus on 4D Gaussian Splatting, stereo and surface reconstruction, and multimodal sensor fusionEvaluating concepts on curated datasets and in own lab experiment settingsPresenting and discussing research findings in team and department meetingsWorking with researchers and engineers in a collaborative environment at the ZEISS Innovation Hub Karlsruhe, located at the KIT Campus NorthWhat We OfferAn opportunity to build the foundation for next-generation products in computer-assisted surgery & medical roboticsA dynamic and international team with an active student communityHands-on research experience in surgical scene understanding, including experimental lab workMentorship by experienced PhD-level expertsA modern working environment with state-of-the-art tools for research (AI-assisted coding, etc.)Your ProfileEnrolled in a master's degree program in computer science, robotics, engineering, or a related fieldSolid foundation in deep learning for computer vision (e.g. semantic segmentation, object tracking, or related areas), ideally with practical programming experience in PythonStrong interest in developing innovative solutions for computer-assisted surgeryAn open mindset, a hands-on approach, and a passion for working in agile, interdisciplinary teamsGood communication skills in English and/or German.Ideally some experience working with 4D Gaussian Splatting, NeRFs, or 3D reconstructionSounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.).Your ZEISS Recruiting Team:Selina Safradin
Requirements and eligibility
See the source description and original listing for specific eligibility requirements.
Application documents
See the source description and original listing for required application documents.
Funding, benefits and conditions
See the source description and original listing for additional benefits and employment conditions.
Contacts and supervision
See the source description and original listing for contacts and supervision details.
Before you apply
0 of 4 readyA preparation checklist, saved on this device. The official posting determines eligibility and required documents.
How to apply
Apply via zeissgroup.wd3.myworkdayjobs.com. Application deadline: Deadline not specified — apply early. Confirm the current requirements there.
Source and listing information
Application source: zeissgroup.wd3.myworkdayjobs.com. Listing details may change; confirm them on the source site. A source check confirms page availability, not endorsement of the organization.
Report an outdated or incorrect listingFrequently asked questions
- What type of opportunity is this and where is it based?
- This is a master's thesis at ZEISS, based in Karlsruhe; Germany.
- What is the application deadline?
- Application deadline: Deadline not specified — apply early. Confirm the current deadline on the original listing.
- Is funding or compensation specified?
- Pay not specified. Check the original listing for exact amounts and conditions.
- Where can I apply and check the full requirements?
- Use the application link to zeissgroup.wd3.myworkdayjobs.com. The original listing provides the full requirements, documents and application instructions.
