物理学习理论方向博士职位
PhD Theory of Physical Learning
原帖优先：申请材料、截止时间与资格以原帖和学校官方说明为准。
AI 中文速览
- 研究内容
- 研究人员将建立一个理论来描述单细胞生物（多头绒泡菌 Physarum）的学习力学机制，探索持续学习的物理学原理，并预测如何将学习能力实现到软物质（如合成水凝胶）中。
- 申请条件
- 申请者需持有物理学、应用数学或相关学科的硕士学位，具备软物质/复杂系统物理、生物物理或统计物理的知识，拥有编程技能，并能够自信地用英语进行口头和书面表达。
- 待遇
- 提供一个2+2年的合同（TV-L E13 75%），起始时间最早为2026年10月，在一个结合了实验与理论研究的国际化团队中工作。
- 申请方式
- 请将申请文件整合为一个PDF文档，邮件主题注明“PhD Theory of Physical Learning”，最迟于2026年9月10日前发送至 Prof. Dr. Karen Alim 的邮箱（k.alim@tum.de）。
- 材料清单
- 个人简历 (CV)
- 发表论文列表
- 成绩单 (Transcript of record)
- 研究兴趣陈述（最高1页）
- 两封推荐信的联系方式
由 gemini-2.5-flash-lite 生成，博士岗判定置信度 100%。
结构化信息
- 截止
- 原帖未给出
- 学科
- 物理与天文
- 合同类型
- 雇佣合同
- 本站收录
- 内容更新
- 导师
- Karen Alim
- 来源
- Technische Universität München 官方招聘 · 最近核对 2026-10-07
判定依据（原文摘录）
- is_phd
TUM Campus Garching is looking for a theory PhD student (m/f/d) to join our team on the ERC project Learning Matters!.
- english_ok
you are able to express yourself confidently both orally and in writing in English.
- bachelor_ok
As a suitable candidate, you have a Master’s degree in physics, applied mathematics, or related disciplines.
原文
PhD Theory of Physical Learning
10.08.2026, Academic staff
Prof. Karen Alim’s group on Biological Physics and Morphogenesis at the TUM Campus Garching is looking for a theory PhD student (m/f/d) to join our team on the ERC project Learning Matters!.
Task You will break with the current focus on the brain to uncover the physics of continual learning instead by investigating the emergence of learning bottom-up in life, reduced in complexity to a network-shaped single cell – Physarum. Lacking any neurons, flows flushing throughout Physarum’s tubular network propagate input packaged as chemical concentration and flow shear force. The tube wall’s viscoelasticity reorganises in response – continually learning its future response. You will develop a theory describing the physical mechanisms of Physarum’s learning mechanics and thereby predict how to implement learning in soft matter, as Physarum’s responsiveness in wall visco-elasticity has its soft matter twin in synthetic hydrogels. Requirements As a suitable candidate, you have a Master’s degree in physics, applied mathematics, or related disciplines. You have knowledge in soft matter/complex systems physics, biological physics, or statistical physics. You enjoy working in interdisciplinary and international teams and have programming skills. In addition, you are able to express yourself confidently both orally and in writing in English. What we offer We offer a two-plus-two-year contract (TV-L E13 75%) with a flexible start date as early as October 2026, in a highly motivated team that combines experimental and theoretical research on equal footing. As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women as well as from all others who would bring additional dimensions of diversity to the university’s research and teaching strategies. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Application We are looking forward to receiving your application documents, which include your CV, your list of publications, a transcript of record, a motivation of your research interests (max. 1 page) and the contact details for two letters of recommendation in one PDF document. Please send these under the subject “PhD Theory of Physical Learning” by e-mail to Prof. Dr. Karen Alim (k.alim@tum.de) latest by 10.09.2026. She will also be happy to provide you with further information in advance. As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application you confirm to have read and understood the data protection information provided by TUM. Prof. Dr. Karen Alim Technische Universität München Ernst-Otto-Fischer-Str. 8 85748 Garching b. München k.alim@tum.de www.bpm.ph.tum.de
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The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: k.alim@tum.de
More Information
https://www.bpm.ph.tum.de