Student work állások Németországban (it programozás, fejlesztés)

• Hands-on experience building foundations for realtime simulation systems
• The chance to learn, implement and extend state-of-the-art simulation methods (XPBD, advanced constraint solvers, hybrid models)
• Mentorship from PhD-level researchers

Independent research in accordance with good scientific practice: conception and implementation of scientific methods, experiment design, data collection and processing, and authoring publications in peer-reviewed journals...

• Conducting tests as part of the software development lifecycle (SDLC), particularly during the initiation and feasibility phases
• Documenting processes, test results and relevant work steps

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following an internship position

• An agile work environment with the possibility to work on various tasks for frontier research on medical applications
• A dynamic, motivated, diverse team with a large and active student community
• A modern office culture mixed with flexible working hours

• You will build customized automation solutions for ZEISS customers that need support for special light microscopy applications.
• Typically, these solutions encompass a completely automated light microscopy workflow from image acquisition to the image analysis.

• Familiarize yourself with state-of-the-art methods in reliability modeling
• Develop modeling approaches for load-driven degradation data
• Implement and compare different modeling approaches to identify the most efficient method, taking statistical variation and measurement uncertainty into account

• Support the Project Management Office (PMO) in structuring and maintaining project governance artifacts (e.g. plans, reports, templates)
• Prepare and maintain status reports, dashboards, and meeting documentation (e.g. minutes, action tracking)

• You will build customized automation solutions for ZEISS customers that need support for special electron microscopy applications
• Typically, these solutions encompass a completely automated electron microscopy workflow from image acquisition to the image analysis

• What you'll work on:
• Supporting the setup and development of a ZEISS internal startup approach
• Contributing ideas on how to define guardrails for “Startup @ ZEISS”
• Supporting the design of an AI first Operating Model

YOUR ROLE With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally. WANT TO DRIVE THE NEXT GENERATION OF...

• Contribute to research on video-based machine learning methods
• Develop and evaluate models for semantic video understanding (e.g., Object interaction in video, dynamic scene understanding, semantic segmentation)
• Work with real-world datasets and problem settings from ZEISS applications

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a Master's thesis following your internship

• Design, implement, and manage document embedding storage solutions
• Develop and optimize processes for efficient information extraction from documents, including handling complex nested structures, to create
• and populate databases for our advanced chatbot applications

• Familiarize with the state-of-the-art in pose estimation and tracking applications
• Development of the hardware experimental setup based on the use-case
• Implementation of prototype solutions relying on methods from both geometric and/ or deep learning methods in computer vision and robotics

• Execute, maintain and improve manual test cases in Azure DevOps, including updating test steps, logging defects, and verifying bug fixes through retesting.
• Support testing teams in preparing, configuring, and maintaining test equipment required for Component, Integration, and E2E testing activities.

• Implementing signal processing and optimization algorithms in C/C++.
• Testing and comparing the performance of various algorithms, and find their correct parametrization for a given use-case
• Close cooperation with the development team.

• Implement an MCP server running on embedded Linux (target: network switch platform)
• Interface status & counters (link, speed/duplex, errors, drops)
• MAC address table lookups
• ARP/neighbor information
• Routing table / L3 interface state (where applicable)

• Autonomous analysis and documentation of client lifecycle and onboarding processes
• Encouraging innovation and maintaining links with different group departments
• Assisting in gathering and structuring business requirements in collaboration with business and IT stakeholders