Doctoral student in Explainable Machine Learning for Nuclear Safeguards
About the company
Chalmers University of Technology
Research Services
Are you excited to push the boundaries of artificial intelligence in nuclear technology? Join us as a doctoral student to explore the advanced frontier of AI-driven nuclear safeguards and enhance global nuclear safety and security.
About UsThe Reactor Physics, Modelling and Safety group at Chalmers develops advanced methods for modelling, simulation, monitoring and safety analysis of current and next-generation nuclear reactors. Combining expertise in reactor physics, thermal-hydraulics, nuclear safeguards, diagnostic techniques and machine learning applied to nuclear technology, the group conducts both fundamental and applied research in collaboration with national and international partners across academia and industry. We are part of the Division of Subatomic, High Energy and Plasma Physics, at the Department of Physics and Astronomy, offering a dynamic and stimulating working environment.
About The Research ProjectArtificial Neural Network (ANN) models are powerful tools for Spent Nuclear Fuel (SNF) safeguards inspection. However, their architectural and optimization complexity renders them black boxes, posing a challenge when making critical decisions, such as classifying SNF as either consistent or inconsistent with declared information. In this doctoral research, you will investigate an Explainable Artificial Intelligence (XAI) framework to enable transparency in ANN models and their predictions for SNF inspection, bridging high-performing machine learning with transparent nuclear verification.
Who We Are Looking ForThe following requirements are mandatory:
What You Will Do
Contract terms
What We Offer
Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities.
If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.
Find more general information about doctoral studies at Chalmers here.
Application procedureThe application should be written in English and attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.CVPersonal letter
Bachelor’s and, if available, master’s thesis together with the transcripts.Use the button at the foot of the page to reach the application form.
A background check may be conducted as part of the application process.
Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.
We welcome your application no later than November 23, 2026For Questions, Please ContactPaolo VinaiAssociate Professor[email protected]We look forward to your application!
Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society.Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.