智能能源管理系统方向博士生/博士后
Postdoc or Doctoral Candidate (f/m/d) in Intelligent Energy Management Systems
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
- 开展基于数据和机器学习的创新系统设计与评估,以整合更多可再生能源并提高能源利用效率,涉及建筑、配电网和热力系统等复杂能源系统的控制与优化。
- 申请条件
- 申请博士需持有计算机科学、电气/机械工程、应用数学或类似工程导向定量学科的优异硕士学位;具备高级软件开发和数据分析技能;精通英语。
- 待遇
- 提供TV-L 13薪级标准的雇佣合同,职位自2024年9月起,初步限期2年,有意向并可进一步延长。
- 申请方式
- 请于2024年7月15日前将申请材料合并为一个PDF文件发送至指定邮箱:applications.emt@ed.tum.de。
- 材料清单
- 个人简历
- 完整成绩单
- 推荐信
- 学士和硕士毕业论文
- 博士论文(若适用)
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
- 能源
- 合同类型
- 雇佣合同
- 本站收录
- 内容更新
- 导师
- Christoph Goebel
- 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 support your doctoral dissertation in the research areas outlined above.
- english_ok
Very good command of English
- bachelor_ok
Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline
原文
Postdoc or Doctoral Candidate (f/m/d) in Intelligent Energy Management Systems
02.07.2024, Academic staff
The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc or Doctoral Candidate (f/m/d) in Intelligent Energy Management Systems.
You are passionate about applying cutting-edge information technology to solving the energy and climate crisis and would like to work in a vibrant research environment? Then let’s design the energy systems of the future together!
Our research focus: The researchers working at the newly established Professorship of Energy Management Technologies are focusing on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems coordinate distributed renewable generation like solar and wind, flexible loads like heat pumps and electric vehicles, and distributed energy storage like stationary batteries and hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation of existing systems, extensive simulation-based analyses, as well as the implementation and validation of algorithm and system designs in real world settings. Your tasks: You will work on key research projects within the context described above. The Professorship of Energy Management Technologies closely collaborates with other Professorships at TUM, industry partners, and partner research institutions. You support us in making this cooperation efficient and productive. As Research Associate you will also support our teaching activities in several Bachelor and Master programs offered by the School of Engineering and Design. You help us to prepare teaching material, serve as teaching assistant in our lectures, support lab courses, and supervise student research. Your profile: • If you are a postdoc, a very good publication track record • Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline • Advanced software development and data analytics skills • Hands-on mentality with first practical experience in developing innovative technology • Inquisitive and passionate about research and knowledge transfer • Independent, creative, and committed way of working • Ability to think conceptually and analytically • Basic knowledge of energy technology • Very good command of English • Big plus: good command of German
Our offer: We offer you the opportunity to do research within a team of highly motivated researchers and benefit from the research environment offered by one of the best universities in Europe and worldwide. We support your doctoral dissertation in the research areas outlined above. The offered position (pay grade TV-L 13) can be filled starting September 2024 and is initially limited to 2 years. Further employment is possible and intended. To ensure equal opportunity, applications from qualified women are particularly welcome. Disabled candidates will be given preference if they are equally qualified. Applications from candidates with an international background are explicitly encouraged. Your application: We are looking forward to your application until July 15, 2024. Please submit it as one single PDF file via email to applications.emt@ed.tum.de. The application should contain the following documents: • Curriculum vitae • Complete academic transcripts • Letters of reference from previous positions held, including internships • Bachelor and Master thesis • If you are a postdoc, list of publications and dissertation
TUM aims to increase the proportion of women. Qualified women are therefore strongly encouraged to apply. Severely disabled applicants will be given preference if they have essentially the same suitability and qualifications. If you have any questions prior to applying, please contact Prof. Dr. Christoph Goebel at christoph.goebel@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: christoph.goebel@tum.de