Universität Basel: Postdoctoral Researcher in Confidential High Performance Computing for AI in Cancer Care (100%) Postdoctoral Researcher in Confidential High Performance Computing for AI in Cancer Care (100%) 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.   Your position 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. As part of this position, your tasks also include:  Conduct high-quality research aligned with the project objectives Publish in top venues (NeurIPS, ICML, ICLR, ACL/EMNLP, MLSys, SC, HPDC, EuroSys, ASPLOS, etc.) Present research at international conferences, workshops, and seminars Contribute to open-source software and reproducible research artifacts Collaborate actively, fruitfully, and respectfully with the PIs, the HPC group, and partner institutions Contribute to teaching (max. one class per semester) and co-supervise Bachelor's/Master's students Your profile We seek a highly motivated researcher interested in integrating foundational AI and HPC research with real-world healthcare applications. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX, or similar ML frameworks  Experience with large-scale training or inference of LLMs  Interest in LLM alignment, reinforcement learning, or generative AI systems Fluency in English; clear communication, problem-solving, and collaborative mindset Highly desirable  Experience with distributed training or ML systems  Knowledge of privacy-enhancing technologies and parallel programming Experience with multilingual AI or agentic systems Diversity: We welcome applications from candidates with diverse backgrounds. Even if you do not meet all requirements, we encourage you to apply if you identify with the profile. We offer you Competitive 100% funding per SNSF guidelines (~CHF 90'000/year)  Access to modern GPU clusters and confidential-computing infrastructure Collaboration with leading researchers in AI & HPC systems and digital health Support for international conference travel and networking Stimulating research environment at a leading European university Application / Contact Interested?   Submit  a single PDF file (named Lastname-Firstname-Postdoc-FGT-Application.pdf ) and a motivation statement via the application portal containing: Curriculum vitae with publication list (open-access links) Degree Transcripts (Bachelor's, Master's, Doctoral)  Theses (Bachelor's, Master's, and Doctoral)  Links to own code repositories or software projects At least one relevant publication with a short justification Motivation statement addressing the questions: (1) why this position, (2) which aspects interest you, (3) relevant prior experience, and (4) goals during the postdoc Contact details for 1–2 referees (recommendation letters will be discarded)   Application deadline: April 24, 2026 (rolling review until filled). Only short-listed candidates will be invited for interview. Due to the anticipated volume of applications, notifications are sent only to short-listed applicants.    Applications by e-mail will not be considered. For recruiters/staffing agencies: Acquisition in response to this advertisement is not appreciated.   For questions: Email  Prof. Florina M. Ciorba ( florina.ciorba@unibas.ch ) with subject: "BRIDGE FGT – Postdoc position" Apply www.unibas.ch