自动系统安全关键情况轨迹规划方向博士职位
PhD Position: Trajectory planning for autonomous systems in safety-critical situations (m/w/d)
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
- 开展自动驾驶汽车安全关键场景下的高效与安全轨迹规划研究,重点在于风险建模与量化以及新算法的概念设计、实现与评估,同时承担教学和学生团队指导工作。
- 申请条件
- 申请者需持有机械工程、机电一体化、机器人、电气工程或计算机科学等技术领域的硕士学位,具备机器人技术相关课程知识、极佳的编程技能,并具备德语和英语的书面与口头谈判能力。
- 待遇
- 提供全职研究员岗位(TV-L E-13, 100%),纳入TUM研究生院以支持博士学习,提供现代化的工作环境、灵活的居家办公安排及丰富的专业培训机会。
- 申请方式
- 请将完整的书面申请材料(德语或英文数字版)发送至指定电子邮箱 johannes.betz@tum.de。
- 材料清单
- 求职信
- 简历
- 高中毕业证书
- 学士学位证书
- 硕士学位证书
- 实习证明
由 gemini-2.5-flash-lite 生成,博士岗判定置信度 100%。
结构化信息
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- 学科
- 工程
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- 导师
- Johannes Betz
- 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
We are seeking highly motivated and enthusiastic PhD researchers.
- english_ok
Negotiation skills in written and spoken German and English
- bachelor_ok
-A Master's degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.)
原文
PhD Position: Trajectory planning for autonomous systems in safety-critical situations (m/w/d)
05.04.2023, Academic staff
We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning of autonomous vehicle systems. The AVS Lab's research is motivated by the goal of developing the next generation of intelligent autonomous vehicle systems. We are seeking highly motivated and enthusiastic PhD researchers.
Tasks and project As part of a research project, you will be part of a dedicated group developing software for autonomous vehicles. Your research project focuses on enabling efficient and safe trajectory planning in safety-critical scenarios. For this purpose, we focus on modeling and quantifying risks in order to subsequently incorporate them into trajectory planning. The goal is to enable safe and agile behavior of the autonomous vehicle. You will be responsible for the conception, implementation and evaluation of the new algorithms. In addition to your technical work, you will take responsibility for teaching and ancillary tasks and supervise student teams. Your profile You are enthusiastic about the topic of autonomous systems and robotics and are motivated to take on responsibility in research. You enjoy working in a loyal and committed team to solve complex problems and dedicate yourself to a topic over a longer period of time. In summary, you bring with you: -A Master's degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning, control) -Very good programming skills (e.g. Python) -A conscientious and independent way of working -High motivation and commitment -Negotiation skills in written and spoken German and English We offer: -Full-time position as research associate (TV-L E-13, 100%) -Integration into the TUM Graduate School for support in doctoral studies -Future-oriented research area with high (national and international) scientific exchange -Loyal, reliable and committed team -Numerous opportunities for professional and interdisciplinary training (e.g. soft-skill seminars) -Modern working environment and infrastructure -Possibility to work abroad -Flexible home office arrangement How do I apply? The Autonomous Vehicle Systems Lab aims to increase its percentage of women and therefore strongly encourages qualified women to apply. Severely disabled persons will be given preference in case of equal suitability and qualification. Please send your complete written application (cover letter, curriculum vitae, high school diploma, bachelor's diploma, master's diploma, confirmation of internships) in German or English in digital form to the following email address: johannes.betz@tum.de
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: johannes.betz@tum.de
More Information
https://www.mos.ed.tum.de/en/afs/career/our-jobs/planning-uncertainty-1/