Your position
You will design, develop, and integrate AI-based and privacy-preserving features into FGT v3.0 within a confidential HPC environment, including:
1. Train and fine-tune large medical LLMs (70B-scale) on confidential HPC systems.
2. Prepare medical datasets (Clinical Guidelines, NCCN, PubMed, MIMIC) for secure LLM t- raining.
3. Develop high-performance pipelines for TEE-based model training and inference.
4. Benchmark models using standard medical and multilingual evaluation suites.
5. Build prototype chatbot and retrieval systems for clinical partners.
6. Integrate medical LLMs with multilingual models (Apertus).
7. Contribute to robustness and confidential-AI evaluation workflows.
Your tasks also include:
8. Conduct research aligned with project objectives
9. Write and submit high-quality papers to leading conferences and journals in HPC and AI, for healthcare
10. Present results at seminars, workshops, and international conferences
11. Interact actively, fruitfully, and respectfully within the PI, HPC group, and across partner institutions
12. Contribute to teaching as assistant (one class per semester)
13. Contribute to supervision as assistant (one student or more per semester)
Your profile
Requirements for the position:
14. Master's degree in Computer Science/Engineering or a closely related field at the start date (March 2026 at the latest)
15. Excellent academic record
16. Programming skills in C, C++, Java, or Python
17. Experience with parallel programming, Linux, machine-learning frameworks, and privacy-enhancing technologies
18. Fluency in English (spoken and written)
19. Clear communication, problem-solving ability, and collaborative mindset
20. Genuine curiosity for Computer Science and motivation to conduct rigorous research with impact in Computer Science and Healthcare