Internship / Thesis Student for Edge AI Optimization for VLMs & VLAs (f/m/d) - Eindhoven

Alleen voor geregistreerde leden Eindhoven, Nederland

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Job summary

We are seeking motivated students who are enthusiastic about Edge AI model and system optimization methods and their applications in emerging edge‑born use cases. You will join a collaborative team focused on research, innovation, and engineering in Edge AI.

You will have the opportunity to explore and develop state‑of‑the‑art model compression methods and inference‑time optimizations for Small Language Models and Vision Language Models.


Your Tasks Will Include Exploring designing implementing model compression techniques (quantization sparsity knowledge distillation etc.) inference optimizations (e.g. speculative decoding) efficient generative architecture design.


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