医学与科学成像深度学习方向博士职位
PhD Position: Deep Learning for Medical and Scientific Imaging
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
- 本项目由 DFG 资助，致力于开发用于医学和科学成像的深度学习方法，重点关注基础模型、以数据为中心的研究及其在科技与医学成像中的应用。
- 申请条件
- 申请者需持有计算机科学、电气与计算机工程、数学、物理或相关领域的硕士学位，具备扎实的数学与计算科学背景，有机器学习或医学成像经验者优先，并需具有强烈的工作热情和高质量研究的愿望。
- 待遇
- 提供全额资助的聘用岗位（TV-L E13 100%），初始合同期为 1.5 至 2 年，总计 3 至 4 年，可在世界一流机构攻读博士学位，并加入多元化、合作氛围良好的团队。
- 申请方式
- 请将申请材料发送至指定邮箱 reinhard.heckel@tum.de。岗位招满即止，计划尽快招收，审查工作将于 2 月中旬开始。
- 材料清单
- 求职信（简要说明对该项目和工作的兴趣）
- 简历 (CV)
- 成绩单
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
- 计算机科学
- 合同类型
- 雇佣合同
- 本站收录
- 内容更新
- 导师
- Reinhard Heckel
- 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
an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5–2 years, total 3–4 years) on deep learning for medical imaging.
- is_phd
The opportunity to earn a PhD at a world-class institution
- bachelor_ok
Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related field
原文
PhD Position: Deep Learning for Medical and Scientific Imaging
12.01.2026, Academic staff
The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5–2 years, total 3–4 years) on deep learning for medical imaging.
This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine Learning at TUM works on machine learning, artificial intelligence, and information processing, with a current focus on foundation models, data-centric research, and applications to scientific and medical imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related field * Strong background in mathematical and computational sciences * Knowledge in machine learning or medical imaging is a plus * Driven, with a strong work ethic and desire to do high-quality research TUM is consistently ranked among the best universities in Europe and as the top technical university in Germany. Our group is part of the School of Computation, Information and Technology, and we collaborate internationally with groups in the US and Europe. We Offer: * A fully funded position (TV-L E13 100%) * An engaging research project in a diverse, collaborative team * The opportunity to earn a PhD at a world-class institution Please send your application to reinhard.heckel@tum.de. Include: * A brief letter explaining your interest in this project and our work * Your CV * Transcripts of grades We value thoughtful applications over formality, but will not consider incomplete or generic submissions. The position is open until filled. We plan to fill the position as soon as possible, and review of applications starting mid-February.
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: reinhard.heckel@tum.de