PhD in Explainable AI for Nuclear Safeguards

Chalmers University of Technology; Göteborgs kommun; Presencial; SEK 363.000 - 435.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Employee benefits

Gothenburg location

Swedish language courses

Descripción de la vacante

Chalmers University of Technology in Gothenburg invites applications for a Doctoral student to push AI boundaries in nuclear technology. You will explore an Explainable AI framework for SNF safeguards inspection and integrate diverse XAI methods to produce actionable explanations for inspectors.

You will develop scientific concepts, publish in journals and present at conferences, and may teach at the undergraduate level as part of a 20% workload.

Formación

• Master's degree (120 credits) in Physics, Mathematics, CS, or equivalent.
• Strong written and verbal communication skills in English.
• Background in ML, DL, Explainable AI, Reactor Physics, or Nuclear Safeguards.
• Solid background in computational methods with Python proficiency.
• Collaborative, responsible, analytical mindset.
• 4-year Bachelor’s degree accepted if education earned outside Sweden.

Responsabilidades

• Conduct doctoral research on an Explainable AI framework for SNF safeguards inspection.
• Integrate XAI methods and study semantic layers to provide explanations for inspectors.
• Leverage XAI insights to guide ANN architectures and training strategies.
• Communicate research results through peer-reviewed publications and conferences.
• Take advanced courses within the Graduate School of Nuclear Engineering.
• Teach at undergraduate level or perform other duties up to 20% of working hours.

Conocimientos

Machine Learning

Deep Learning

Explainable AI

Reactor Physics

Nuclear Safeguards

Python

Educación

Master's degree (Physics/Math/CS)

Herramientas

Python

Descripción del empleo

Chalmers University of Technology in Gothenburg invites applications for a Doctoral student to push AI boundaries in nuclear technology. You will explore an Explainable AI framework for SNF safeguards inspection and integrate diverse XAI methods to produce actionable explanations for inspectors.

You will develop scientific concepts, publish in journals and present at conferences, and may teach at the undergraduate level as part of a 20% workload.