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Postdoctoral Researcher in Confidential High Performance Computing for AI in Cancer Care at The Biozentrum, University of Basel

Position Postdoctoral Researcher in Confidential High Performance Computing for AI in Cancer Care
Veröffentlicht 29 Mar 2026
Abgelaufen 28 Apr 2026
Unternehmen The Biozentrum, University of Basel
Standort Basel | CH
Anstellungsart Full Time

Stellenbeschreibung:

Aktuelle Karriere-Informationen von The Biozentrum, University of Basel für die Position als Postdoctoral Researcher in Confidential High Performance Computing for AI in Cancer Care. If the Postdoctoral Researcher in Confidential High Performance Computing for AI in Cancer Care Stellenangebot in Basel Ihren Qualifikationen entspricht, reichen Sie Ihre Bewerbung bitte direkt über das aktualisierte Jobkos-Portal ein.

Bitte beachten Sie, dass eine Bewerbung Qualifikationen erfordert, die vom Arbeitgeber festgelegt wurden. Wir hoffen, dass diese Karrierechance bei The Biozentrum, University of Basel für die Position als Postdoctoral Researcher in Confidential High Performance Computing for AI in Cancer Care unten zu Ihrem Profil passt.

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.

    Job-Informationen:

    • Unternehmen: The Biozentrum, University of Basel
    • Position: Postdoctoral Researcher in Confidential High Performance Computing for AI in Cancer Care
    • Arbeitsort: Basel
    • Land: CH

    So bewerben Sie sich:

    Nachdem Sie die Kriterien und Mindestanforderungen in der Stellenanzeige gelesen und verstanden haben, Postdoctoral Researcher in Confidential High Performance Computing for AI in Cancer Care at the office Basel bereiten Sie bitte umgehend Ihre Bewerbungsunterlagen (Anschreiben, Lebenslauf, Zeugnisse) vor. Senden Sie diese über den Link 'Nächste Seite' unten ein.

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