4 Mar 2024
Job Information
- Organisation/Company
Technical University of Munich- Department
School of Engineering and Design- Research Field
Engineering » Simulation engineering
Mathematics » Applied mathematics
Mathematics » Computational mathematics
Computer science » Modelling tools
Physics » Computational physics
Engineering » Control engineering
Engineering » Design engineering
Engineering » Computer engineering
Engineering » Electrical engineering
Engineering » Mechanical engineering- Researcher Profile
First Stage Researcher (R1)- Country
Germany- Application Deadline
21 Apr 2024 - 00:00 (Europe/Berlin)- Type of Contract
Temporary- Job Status
Full-time- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
Yes
Offer Description
The Chair of Renewable and Sustainable Energy Systems (ENS) at the Technical University of Munich (TUM) deals with the modeling and optimization of energy systems on different temporal and spatial scales.
For our new Research Group Applied Optimization we are looking for a
Research Associate: PDE-based optimization of deep geothermal systems
starting immediately, in full-time.
Research topic:
Deep geothermal energy is one of the key technologies to decarbonize the heating sector. To enable efficient, reliable and sustainable use of deep geothermal well doublets, it is essential to optimize them (location, sizing, operation, etc.). The resulting optimization problems are the so-called PDE-constrained optimization problems, since the physical processes in the underground are governed by PDEs. To efficiently solve these mathematically challenging problems, new optimization approaches need to be developed.
Tasks:
- Work in a team on a national collaborative research project, which deals with the development of a planning and optimization tool for deep geothermal systems.
- You will be responsible for developing solutions in terms of methodology (optimization approaches) and implementation of the optimization tool.
- Coordination of the cooperation with the project partners
- Publication of results in peer-reviewed journals and presentation at international conferences
- Contribution to the education of students and thus support of our educational mission.
Requirements:
- Above average Master’s degree in engineering, applied mathematics or computational science
- Good knowledge of mathematical/numerical optimization methods
- Strong mathematical skills and interest in developing new mathematical methods
- Enthusiasm for challenging mathematical problems and interdisciplinary collaboration
- Relevant experience with programming languages (preferably Python)
- You work independently, in a structured and reliable manner.
- You are communicative, flexible and able to work under pressure.
- Fluency in English language (writing/speaking)
- German language skills are an advantage.
- Applicants who are already pursuing or hold a doctorate will be automatically disqualified
We offer
- An interesting and challenging job in an international and dynamic team at TUM's Garching site
- Flexible working hours
- Individual opportunities for further training
- Employment in accordance with the collective wage agreement for the civil service (TV-L E13)
- Pursuing a doctorate within the framework of the work at the TUM
People with a severe disability will be given preferential treatment if their suitability and qualifications are essentially the same. TUM aims to increase the proportion of women, so applications from qualified women are expressly welcomed.
Interested?
Then we look forward to receiving your application; please send them by e-mail to [email protected] with “PhD application - Optimization” in the subject. Please include the following documents as a single PDF file titled “PhD_Optimization_YourFirstName_FamilyName”: detailed CV (including publications if applicable), cover letter, full academic transcript (Bachelor and Master), MSc thesis summary. If you have any further questions, please do not hesitate to contact Mr. Smajil Halilović ([email protected] ). The position remains open until filled (Review begins in mid-March).
Requirements
- Research Field
- All
- Education Level
- Master Degree or equivalent
Additional Information
- Website for additional job details
https://portal.mytum.de/jobs/wissenschaftler/NewsArticle_20240227_172819
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Technical University of Munich
- Country
- Germany
- State/Province
- Bavaria
- City
- Garching b. München
- Postal Code
- 85748
- Street
- Lichtenbergstr. 4a
Where to apply
[email protected]
Contact
- City
Munich- Website
https://www.tum.de/- Street
Arcisstraße 21
STATUS: EXPIRED