Student Research Assistant in Unity Frontend & LLM Backend Development for Digital Einstein 10%-30%, Zurich, fixed-term 07.10.2026 | Department of Computer Science (D-INFK), Computer Graphics Laboratory (CGL)
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Job Description
This position is for a Student Research Assistant at ETH Zurich focusing on the Digital Einstein AI avatar platform. Responsibilities include developing and maintaining both the Unity frontend and the LLM-based Python backend, with a focus on lifelike digital humans and interactive conversations. Applicants must be enrolled students with strong programming skills in Unity/C# and Python, and experience with or interest in large language models.
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Key Responsibilities
- The Digital Character AI team at ETH Zurich's Computer Graphics Laboratory is looking for a Student Research Assistant to support the development of our interactive AI avatar platforms across both the Unity frontend and the LLM-based backend.
- The system combines a Unity-based frontend for real-time character rendering, animation, and interaction with a Python-based backend that orchestrates large language models, dialogue management, speech processing, memory, and other AI components.
- Develop and maintain the Unity frontend for the Digital Einstein platform, including UI components, interaction flows, character behaviours, and real-time rendering features
- Develop and maintain the Python/LLM backend for interactive conversations, including the integration and evaluation of large language models and related AI services
- Strong programming skills and practical software-development experience
- Willingness to provide occasional on-site event support, including on weekends
About This Position
Where is this position based?
The position is based at ETH Zurich (Swiss Federal Institute of Technology), in Zurich, CH. Check the job description above for flexible or hybrid arrangements.
How do I apply for this job?
Click the Apply button on this page — it takes you to ETH Zurich (Swiss Federal Institute of Technology)'s official application portal, where you submit your application directly to the university. Tenurify only aggregates the listing and never handles applications or charges candidates.
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