核安全可解释机器学习领域的博士研究生

This research project focuses on developing an Explainable Artificial Intelligence (XAI) framework for the inspection of Spent Nuclear Fuel (SNF) to improve transparency in decision-making processes. It aims to integrate various XAI methods with artificial neural networks (ANNs) to enhance nuclear safety and verification. Candidates should have a Master's degree in a relevant field and experience in machine learning.

About the research project: Artificial 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. What you will do: Conduct doctoral research focused on exploring, testing, and evaluating an Explainable AI (XAI) framework for Spent Nuclear Fuel (SNF) safeguards inspection. Integrate various XAI methods and study semantic layers to aggregate predictions into actionable explanations for safeguards inspectors. Leverage XAI insights to guide ANN model architectures, optimize training strategies, and strengthen model robustness. Develop your own scientific concepts and communicate research results through peer-reviewed journal publications and conference presentations. Take courses at an advanced level within the Graduate school of Nuclear Engineering . The position generally also includes teaching at Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours.

Who we are looking for: The following requirements are mandatory: To qualify as a Doctoral student, you must have a Master's degree ( masterexamen ) of 120 credits or a Master’s degree ( magisterexamen ) of 60 credits* in Physics, Mathematics, Computer Science, or equivalent. You have strong written and verbal communication skills in English. You have background/experience in at least one of the following areas: Machine Learning, Deep Learning, Explainable AI, Reactor Physics, Nuclear Safeguards. You have a solid background in computational methods and strong programming skills (e.g., in Python). You thrive in a collaborative environment and take responsibility for your work. You have a strong analytical mindset and enjoy complex challenges. * for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted.

Contract terms: The Doctoral student positions are fully funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 35,725 SEK per month (valid from May 1, 2026). Doctoral studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date; otherwise the admission may be withdrawn. What we offer: As a Doctoral student at Chalmers, you are an employee and enjoy all employee benefits. Read more about working at Chalmers and our benefits for employees. A dynamic and inspiring working environment in the coastal city of Gothenburg . Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg. 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 .

申请程序： 申请材料应以英语撰写，并以 PDF 格式附件提交，具体格式如下。每个文件的最大大小为 40 MB。请注意，系统不支持 Zip 文件格式。 个人简历 CV 个人信函 关于您的简要介绍。 关于您为何对此职位感兴趣的简要说明。 学士学位论文及如有硕士学位论文，以及成绩单。 请使用页面底部的按钮进入申请表格。申请过程中可能会进行背景调查。请注意：申请人需自行负责确保申请材料的完整性，不完整或通过电子邮件提交的申请将不被考虑。面试结束后将询问与推荐人的联系信息。 我们欢迎您在2026年11月23日之前提交申请 如有疑问，请联系： 我们期待您的申请！ *** 查尔姆斯理工大学拒绝考虑与本职位相关的任何进一步公告发布或其他形式的招聘过程支持。 *** 位于哥德堡的查尔姆斯理工大学在技术与自然科学领域开展高水平的研究与教育工作。该大学拥有3100名员工和10,000名学生，提供工程、科学、航运及建筑领域的教育课程。以科学卓越为基础，查尔姆斯理工大学致力于推动为可持续世界提供知识与技术解决方案。通过全球性的承诺与创业精神，我们在与更广泛社会的紧密合作中培养创新精神。查尔姆斯理工大学成立于1829年，其今日口号与当年相同：Avancez——前进。