PhD Candidate: Explainable AI for Nuclear Safeguards

Chalmers Tekniska Högskola AB; Göteborgs kommun; Vor Ort; SEK 363.000 - 435.000; Vollzeit

Zusammenfassung

Chalmers University of Technology in Gothenburg seeks a Doctoral student to develop and evaluate an Explainable AI framework for Spent Nuclear Fuel safeguards inspections. You will integrate XAI techniques and study semantic layers to produce explanations for inspectors, while advancing neural network robustness and training strategies.

The position includes teaching duties at up to 20% of time and requires strong English, a Master’s degree in a relevant field, and a collaborative, analytical

Qualifikationen

• Master’s degree (120 credits) in Physics, Mathematics, Computer Science or equivalent.
• Strong written and spoken English.
• Background in ML, DL, Explainable AI, Reactor Physics or Nuclear Safeguards.
• Solid computational methods background and programming skills (Python).
• Collaborative mindset, analytical thinking and willingness to take responsibility.

Aufgaben

• Conduct doctoral research on an Explainable AI framework for SNF safeguards.
• Integrate XAI methods and study semantic layers to provide actionable explanations.
• Leverage XAI insights to guide ANN architectures and training strategies.
• Publish results in peer‑reviewed journals and present at conferences.
• Teach at the undergraduate level or perform other duties up to 20% time.

Kenntnisse

Python programming

English proficiency

Collaborative mindset

Analytical thinking

Machine Learning

Deep Learning

Explainable AI

Ausbildung

Master's degree in Physics, Mathematics or Computer Science

4-year Bachelor’s degree accepted for non-Sweden education

Tools

Python

Jobbeschreibung

Chalmers University of Technology in Gothenburg seeks a Doctoral student to develop and evaluate an Explainable AI framework for Spent Nuclear Fuel safeguards inspections. You will integrate XAI techniques and study semantic layers to produce explanations for inspectors, while advancing neural network robustness and training strategies.

The position includes teaching duties at up to 20% of time and requires strong English, a Master’s degree in a relevant field, and a collaborative, analytical