量子系统机器学习博士项目（1.0 FTE）

该研究项目专注于将机器学习（ML）应用于量子多体物理领域，尤其关注深度学习的机制研究，并致力于开发可解释、可靠且可扩展的机器学习方法以解决量子问题。申请者应拥有物理学或计算机科学专业的硕士学位，并具备Python编程能力。

Job Description: PhD in Machine Learning for Quantum Systems (1.0 FTE) Job requisition Id: 16972 Job type: PhD positions Contract hours min: 38 Contract hours max: 38 Location: Leiden Applying is possible until: 30 November 2026 Apply now Teaser Text: We are looking for PhD candidates interested in research at the intersection of machine learning (ML) and quantum many-body physics. The position is set in the exciting, friendly, and interdisciplinary environment of the aQa (Applied Quantum Algorithms) group, which is a team of faculty, postdoctoral researchers, and students across the Leiden Institute of Physics (LION), the Leiden Institute for Advanced Computer Science (LIACS), the Leiden Institute for Chemistry (LIC), and the Leiden Mathematical Institute (MI) at the Leiden University. What you will do: Assisting in relevant teaching activities; Actively participating in regular group and one-on-one meetings; Co-supervising Bachelor and Master students; Co-organizing scientific events; Presenting your research results to the scientific community at international conferences and through publications. Where you will work: The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental knowledge by curiosity and to look beyond the borders of their own discipline; their aim is to benefit science, and to make a contribution to addressing the major societal challenges of the future. The faculty is home to more than 2,700 staff members and over 6,000 students enrolled in nine bachelor's and fifteen master's programs. We are located at the heart of the Bio Science Park, one of Europe’s largest science parks, where academia and industry come together. You will be part of the Leiden Institute of Advanced Computer Science (LIACS). LIACS offers the bachelor's programs in Computer Science and Data Science/Artificial Intelligence, as well as master's programs in Computer Science, ICT in Business and the Public Sector, Media Technology, and Science Based Business. According to an independent research assessment, LIACS is one of the leading computer science departments in the Netherlands. We strive for excellence in a supportive institute where academic achievement, enjoyment, and diversity go hand in hand. We offer a clear and welcoming career path for young and talented scientists with the ambition to grow. For more information about LIACS, visit our website: ［会员资料链接］ What we value: Promoting an inclusive community is central to Leiden University’s values and vision. We strive to be an open community in which all students and staff members feel valued and respected, and are able to fully develop themselves. We consider an inclusive academic environment, where students and staff can share their experiences and viewpoints, to be essential for the development of talent.

您所具备的条件： 物理学、计算机科学或相关领域的硕士学位； 对机器学习有浓厚兴趣，并具备将其实现可解释且可靠化的动力； 偏好具备量子物理及量子系统数值方法知识，或深度学习理论背景的申请人； 具备扎实的 Python 编程技能； 具备流利的英语口语与书面表达能力； 具备团队协作能力，能够良好沟通不同科学领域及团队之间事务的人； 具有高度积极性与组织能力，能够自主推进工作，且思维开放。

聘用待遇： 为期最初一年的全职聘用合同。在对论文进展、个人能力及适配性进行积极评估后，该聘用期限将延长三年。此合同属于荷兰大学“CLA”制度范畴； 根据全职职位安排（每周工作 38 小时，参考 Payscale 薪资标准），月基本工资为 3204.= 欧元至 4051.= 欧元之间。 莱顿大学假期津贴（8%），年终奖金（8.3%），以及具有竞争力的养老金制度，均属于 ABP 计划内容； 针对从家到工作的出行，全额报销公共交通费用； 灵活工作时间：通常而言，在每周38小时的全职工作周基础上，您可享有至少29天的休假；您还可以额外积累休假时间，例如每周工作40小时，从而额外获得96小时休假时间，或将96小时休假时间兑换为36小时的每周工作周。 关于非全职聘用条件存在多种选择；例如，我们可以讨论休假或带薪育儿假的方案。根据我们的聘用条件个人选择模式，您可以将休假天数和/或薪资与优惠体育订阅及自行车计划等福利进行交换。 若您的工作允许，在荷兰可实现混合式工作模式； 居家工作津贴（每日津贴及网络费用）以及针对优质工作场所的关怀。大学还将提供笔记本电脑供您使用。

Want to apply or find out more?: Applications: Please submit your application online via the blue button in the vacancy. Please ensure that you upload the following additional documents: A CV that includes names and email addresses of at least two scientists who agreed to be contacted for reference letters; A short motivation letter (1 page); Optionally, a short research statement (1 page) describing your research projects so far and what research project you would be interested in doing during your PhD. For full consideration, please apply no later than 30 November 2026 . The selection procedure will take place in December/January 2027, and selected candidates may be invited for an interview during this period. Apply now Information at a Glance Faculty / Unit: The Faculty of Science Opens in a new tab. ×