Doctoral Candidate or Postdoc (f/m/d) in Intelligent Energy Management Systems

TN Germany; München; Vor Ort; EUR 45.000 - 55.000; Vollzeit

Zusammenfassung

A leading university is seeking a Doctoral Candidate or Postdoc in Intelligent Energy Management Systems. Join a vibrant research environment focused on innovative data-based systems to enhance renewable energy integration and efficiency. Collaborate with industry partners and contribute to teaching while pursuing your doctoral dissertation.

Leistungen

Research Environment

Support for Doctoral Dissertation

Opportunity for Further Employment

Qualifikationen

• Very good publication track record required for postdocs.
• Above-average master’s degree in a relevant field.

Aufgaben

• Conduct research on energy management systems and optimization methods.
• Support teaching activities in Bachelor and Master programs.

Kenntnisse

Software Development

Data Analytics

Research

Conceptual Thinking

Analytical Thinking

English

German

Ausbildung

Master’s Degree in Computer Science

Master’s Degree in Electrical Engineering

Master’s Degree in Mechanical Engineering

Master’s Degree in Applied Mathematics

Jobbeschreibung

Social network you want to login/join with:

col-narrow-left

Client:

Technical University of Munich

Location:

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

02c009af5e56

Job Views:

2

Posted:

11.05.2025

Expiry Date:

25.06.2025

col-wide

Job Description:

Doctoral Candidate or Postdoc (f/m/d) in Intelligent Energy Management Systems

The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Doctoral Candidate or Postdoc (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 Technol-ogies 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, exten-sive simulation-based analyses, as well as the implementation and validation of algorithm and sys-tem designs in real world settings.

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 July 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.