University of Basel | Department of Mathematics and Computer Science | High Performance Computing (HPC) Research Group
Start date: September 2026 (flexible) Duration: 3 years (36 months)
Project
The High Performance Computing (HPC) research group (Prof. Florina M. Ciorba), Department of Mathematics and Computer Science, University of Basel, invites applications for a Postdoctoral Researcher funded by the SNF Bridge Discovery project "Family Gene Toolkit (FGT)" (grant no. 237643), a digital platform supporting families affected by hereditary cancer syndromes (HBOC, Lynch Syndrome). The next-generation FGT v3.0 will integrate large language models, multilingual AI, and confidential HPC to support patients and clinicians in real-world healthcare environments.
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Your assignments
You will lead research on trustworthy and aligned LLMs operating in confidential HPC environments, involving training and adapting 70B-scale multilingual and medical language models on secure HPC infrastructure. Your work focuses on three areas:
Preference optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs.
Agentic and tool-augmented AI systems: develop reasoning and interaction capabilities including RAG, in-context learning, chain-of-thought reasoning, and agentic workflows with external tools.
Trustworthy AI evaluation and confidential deployment: develop evaluation pipelines (e.g., LLM-as-a-judge), robustness/bias/hallucination mitigation, and multilingual evaluation protocols.
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