With 18,000 students, 510 professors and 768 researchers and staff members, Munich University of Applied Sciences is one of the largest universities of applied sciences in Germany. The Institute for Sustainable Energy Systems (ISES) provides research, education, and consulting along the entire value chain from energy generation to consumption. With seven professors and 33 researchers, we work on a broad range of topics, including renewable energy generation, storage, power electronics, and power systems.
The challenge:
We offer a fully funded, fixed term (3 years) Ph.D. position in condition monitoring for hydropower plants. The successful applicant will work in the EU project “ReHydro” in close collaboration with industry partners, research institutions, and hydropower operators.
You will develop and test novel sensors and instrumentation for the monitoring of hypdropower plants, with a focus on cavitation and efficiency monitoring. You will develop advanced signal processing and machine learning algorithms for sensor data processing, fusion, and interpretation. You will validate the technology in a run-of-river hydropower plant in Portugal.
You will document your work and publish your results in scientific journals and on international conferences.
Your profile:
• Master’s degree in Electrical Engineering, Computer Science, Hydraulic Engineering, Mechanical Engineering, or a related discipline.
• Excellent knowledge of sensor technology and sensor data processing using machine learning and conventional signal processing methods (e.g. FFT, Wavelets).
• Excellent skills in Python or MATLAB, including the respective libraries for data analytics and machine learning.
• Knowledge in the areas of turbomachinery, fluid dynamic, hydropower generation is a strong plus.
• Hands-on mentality, willingness to participate in field testing campaigns in Portugal.
• Excellent command of English (at least C1 level) is a must. Knowledge of German is a plus, but not mandatory.
• Self-driven, curious, open minded, perseverant.
• Very good communication and presentation skills.
We offer you:
• The opportunity to pursue a Ph.D. degree.
• The opportunity to work within an international and interdisciplinary consortium of European companies, research institutions, and hydropower operators.
• The opportunity to make a contribution at the intersection of sustainable energy generation and machine learning.
• The opportunity to work in Munich – a vibrant city ranked number three worldwide in Mercer’s Quality of Living survey.
• Flexible working hours and the opportunity to partially work from home.
• A salary according to the German public service scheme , grade TV-L E13 (approximately 52,000 EUR gross p.a., plus pension contributions and other benefits).
Important note to non-EU candidates, PLEASE READ! Your application can be considered; however, if you have received your Master’s degree from a university outside the EU, you must provide evidence that your degree is comparable to German Master’s degree. Please refer to https://www.anerkennung-in-deutschland.de/html/en/Institute-of-higher-education.php for details. Either provide the rating of your university from the anabin database, or, in case your university is not listed there, provide a statement of comparability from ZAB. Without either of these, your application cannot be considered.
In accordance with the equal opportunity policy of MUAS, female candidates are particularly encouraged to apply. Severely disabled applicants of equal merit and qualifications will be given priority. Opening of the position is pending the final signature of the EU grant agreement.
Interested candidates should contact Prof. Axel Busboom at axel.busboom@hm.edu and send their CV and academic transcripts; no cover letter necessary.
