Postdoc: Multimodal Oncology Reasoning

ETH Zürich; Basel; Vor Ort; CHF 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Access to unique multimodal clinical datasets

Competitive salary

Excellent research infrastructure

Zusammenfassung

ETH Zürich is seeking a motivated Postdoctoral Researcher to lead research on multimodal reasoning models for oncology. This role focuses on developing AI models that assist in complex oncologic decision-making through interdisciplinary collaboration.

The candidate will develop and evaluate reasoning strategies involving language, vision, and clinical data, ensuring safe and reliable outputs in clinical settings. Strong programming skills and a PhD in a relevant field are essential for this full-time position.

Competitive salary and access to unique clinical datasets are provided.

Qualifikationen

• Proven publication record in AI/ML, medical AI, computational biology, or related areas.
• Experience with foundation models, multimodal models, or biomedical/clinical language models is a plus.
• Familiarity with retrieval methods for LLMs, including dense/sparse retrieval is preferred.

Aufgaben

• Lead research on multimodal reasoning models for oncology.
• Develop AI-based reasoning strategies for oncology with auditability.
• Evaluate oncology reasoning models in clinically meaningful settings.

Kenntnisse

Strong programming skills in Python and modern ML frameworks

Experience with deep learning and large language models

Ability to work in highly interdisciplinary research environments

Ausbildung

PhD in Computer Science, Machine Learning, Medical AI, Biomedical Informatics, or related field

Jobbeschreibung

ETH Zürich is seeking a motivated Postdoctoral Researcher to lead research on multimodal reasoning models for oncology. This role focuses on developing AI models that assist in complex oncologic decision-making through interdisciplinary collaboration.

The candidate will develop and evaluate reasoning strategies involving language, vision, and clinical data, ensuring safe and reliable outputs in clinical settings. Strong programming skills and a PhD in a relevant field are essential for this full-time position.

Competitive salary and access to unique clinical datasets are provided.