Student* with Thesis (optional) Machine Learning for Wind Turbine Simulation and Control

Fraunhofer-Gesellschaft, Germany

Updated: 4 months ago
Location: Bremerhaven, BREMEN

Who we are ...  

Our primary focuses at Fraunhofer IWES are on wind energy and hydrogen technologies. Our institute is home to more than 300 scientists and employees as well as over 100 students from over 30 countries pursuing careers in applied research and development at nine sites. We secure investments in technological developments through validation, shorten innovation cycles, accelerate certification procedures, and increase planning accuracy by means of innovative measurement methods. 

This team needs your support ...  

You will be part of the group »Process Automation and Real-Time Systems« at our site in Bremerhaven. At present, our team consists of five research associates and several students. We work on the automation and control of hardware-in-the-loop test benches for wind turbine nacelles, generators, and converters. We are involved in artificial intelligence research to improve wind turbine simulation models and control algorithms, the automation of novel sailing systems for the maritime mobility sector, and test benches for heat pumps. Become an active member of the team; we are keen to hear your ideas! As an international oriented IWES-team, we highly appreciate an open exchange, whether this be in German or English. Respectful cooperation is also very important to us. You are wondering what you can bring to the team? 

What you will do

These duties await you … 

You will develop different machine learning models to improve wind turbine simulation models and control algorithms. The focus will be on enhancing the accuracy of wind speed estimation based on load measurements. On the one hand, you will receive simulated data and on the other hand, real measurements from at least one test turbine. In addition to writing the code in Python for the actual functionality, you will also design the program's architecture. 

What you bring to the table

What is your background?  

You are currently enrolled in Engineering, Mathematics, or Computer Science courses, preferably with a focus on wind turbines and/or mechanics. You have strong proficiency in Python for machine learning and have practical experience in coding with Python. Maybe you have some knowledge about technical mechanics or wind turbine technology? Or do you even have some experience in the field of data science? Great, we are looking forward to your application! 

What you can expect

What we can offer you ...  

We offer various opportunities to join us as a student. Whether it is an internship, where you gain a comprehensive insight into the areas of work, or the role of a student assistant, which is easy to combine with your studies. Are you looking for an exciting topic for your thesis and do you want to delve deeply into a topic scientifically? Together, we will find the right path for you! We know that studying can also be very demanding and requires a certain level of flexibility. That is no problem here, as – in agreement with your colleagues – you can decide flexibly what days and hours to work. Depending on the job, temporarily you can even work remotely as a student assistant. 

Eager to learn more?  

If you would like to find out more information about the IWES, our research aspects, and your future colleagues, please visit our career website: https://s.fhg.de/5ei 

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. 

The position is initially limited to 6 months. The working time consists of 60 hours per month. Remuneration according to the general works agreement for employing assistant staff.  

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

Interested? Apply online now. We look forward to getting to know you!

If you have any further questions, please contact: 

People & Development     

E-mail: [email protected] 

Phone: +49 471 14 290-230 

Only online applications via the portal can be considered. 

Please note that we observe the provisions of the valid General Data Protection Regulation when processing applications. 

Fraunhofer Institute for Wind Energy Systems 

www.iwes.fraunhofer.de  

Requisition Number: 70555                Application Deadline:


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