生物物理学方向博士职位
PhD in Biological Physics
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
- 研究流体网络如何自组织其架构，通过理论建模或实验研究模式生物多头绒泡菌（Physarum polycephalum）的脉络网络动力学。
- 申请条件
- 申请者需持有生物学、物理学、应用数学或相关学科的优秀硕士或同等学位，具备良好的英语口头和书面表达能力以及编程技能。
- 待遇
- 提供三年期合同（可续签），薪资标准为 TV-L E13 75%。
- 申请方式
- 请于2023年09月15日之前将申请材料合并为一个PDF文件发送至 Prof. Dr. Karen Alim 的电子邮箱 (k.alim@tum.de)，邮件主题为“PhD Biological Physics”。
- 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（最多1页）
- 两位推荐人的联系方式
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
其他发布渠道
判定依据（原文摘录）
- is_phd
We are looking for a PhD student (m/f) to join our team at the TUM.
- english_ok
In addition, you are able to express yourself confidently both orally and in writing in English.
- bachelor_ok
As a suitable candidate, you have an outstanding Master's degree or comparable degree in biology, physics, applied mathematics or related disciplines.
原文
PhD in Biological Physics
28.07.2023, Academic staff
Prof. Karen Alim’s group on Biological Physics and Morphogenesis at the TUM Campus Garching uses theoretical and experimental methods to investigate how flow networks self-organize their architecture. We are looking for a PhD student (m/f) to join our team at the TUM.
Task Flow networks are a fundamental building block of life. Transport by flow is the main task of these networks - but how well they perform this task depends on the architecture of the network. We want to discover the physical principles of how vein networks self-organize their architecture - encoded by messengers transported by the flow or even the pressure of the fluid itself. In an interdisciplinary team, you will either develop theoretical models of the feedback between flow and network architecture or experimentally test the vein network dynamics of our model organism Physarum polycephalum. Your findings pave the way for control of vein network architecture and their function. Requirements As a suitable candidate, you have an outstanding Master's degree or comparable degree in biology, physics, applied mathematics or related disciplines. As an experimental candidate you have experience in biological systems or microfluidics and ideally in quantitative data analysis. As a theoretical candidate, you have knowledge in quantitative biology, soft matter/complex systems 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 three-year contract with the possibility of renewal (TV-L E13 75%) in a highly motivated team combing on equal footing experimental and theoretical research. As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions 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, 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 Biological Physics” by e-mail to Prof. Dr. Karen Alim (k.alim@tum.de) by 15.09.2023. 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.
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
http://www.bpm.ph.tum.de