PhD position in the field of Confidential High Performance Computing for AI in Cancer Care 100%

The Biozentrum, University of Basel; Basel; Vor Ort; CHF 30’000 - 80’000; Vollzeit

Zusammenfassung

A leading research center in Basel is seeking a skilled individual to develop and integrate AI-based features within a confidential HPC environment. Responsibilities include researching and presenting findings, contributing to teaching, and working with advanced medical datasets. The ideal candidate should hold a Master's degree in Computer Science or a related field with strong programming skills in languages such as C, C++, Java, or Python. This position requires fluency in English and a collaborative mindset to effectively interact within team settings.

Qualifikationen

• Master's degree in Computer Science / Engineering or a closely related field at the start date (March 2026 at the latest).
• Excellent academic record.
• Fluency in English (spoken and written).
• Clear communication, problem-solving ability, and collaborative mindset.

Aufgaben

• Design, develop, and integrate AI-based features into FGT v3.0.
• Conduct research aligned with project objectives.
• Write and submit papers to leading conferences/journals.
• Present results at seminars and international conferences.
• Contribute to teaching as an assistant.
• Contribute to supervision as an assistant.

Kenntnisse

Programming skills in C

Programming skills in C++

Programming skills in Java

Programming skills in Python

Experience with parallel programming

Experience with Linux

Experience with machine-learning frameworks

Experience with privacy-enhancing technologies

Fluency in English

Ausbildung

Master's degree in Computer Science / Engineering

Jobbeschreibung

Your position

You will design, develop, and integrate AI-based and privacy-preserving features into FGT v3.0 within a confidential HPC environment, including :

• Train and fine-tune large medical LLMs (70B-scale) on confidential HPC systems.
• Prepare medical datasets (Clinical Guidelines, NCCN, PubMed, MIMIC) for secure LLM training.
• Develop high-performance pipelines for TEE-based model training and inference.
• Benchmark models using standard medical and multilingual evaluation suites.
• Build prototype chatbot and retrieval systems for clinical partners.
• Integrate medical LLMs with multilingual models (Apertus).
• Contribute to robustness and confidential-AI evaluation workflows.

Your tasks also include

• Conduct research aligned with project objectives
• Write and submit high-quality papers to leading conferences and journals in HPC and AI, for healthcare
• Present results at seminars, workshops, and international conferences
• Interact actively, fruitfully, and respectfully within the PI, HPC group, and across partner institutions
• Contribute to teaching as assistant (one class per semester)
• Contribute to supervision as assistant (one student or more per semester)

Your profile

Requirements for the position

• Master's degree in Computer Science / Engineering or a closely related field at the start date (March 2026 at the latest)
• Excellent academic record
• Programming skills in C, C++, Java, or Python
• Experience with parallel programming, Linux, machine-learning frameworks, and privacy-enhancing technologies
• Fluency in English (spoken and written)
• Clear communication, problem-solving ability, and collaborative mindset
• Genuine curiosity for Computer Science and motivation to conduct rigorous research with impact in Computer Science and Healthcare