Student assistant for the development of coupled multidomain physical models for hybrid EV systems

Dresden, DE, 01069

Fraunhofer-Gesellschaft

Die Fraunhofer-Gesellschaft mit Sitz in Deutschland ist die weltweit führende Organisation für anwendungsorientierte Forschung. Mit ihrer Fokussierung auf zukunftsrelevante Schlüsseltechnologien sowie auf die Verwertung der Ergebnisse in...

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Are you interested in the coupled simulation of multidomain systems for hybrid EV application?
Our research group “Monitoring and Operating Strategies” is involved in the development of surrogate models of various components for hybrid EVs to estimate optimal operating strategies.
 

 

What you will do

As a student assistant, you will take on individual tasks and will assist our group by developing and building mathematical surrogate models of various coupled multidomain components and subsystems for vehicle systems. These components will be built into a larger surrogate model that can be used to simulate and diagnose real systems from a testbench (HIL simulation). In later stages, you will also be involved in designing controllers and testing various operational strategies to minimize degradation and increase lifetime. Further on, exploring modeling with the help of physics-based neural networks is also a possibility.

 

What you bring to the table

  • enrolled in a study program in engineering – preferably in the fields of systems, mechanical, electrical, mechatronics or similar programs
  • general knowledge in causal and acausal modeling approaches
  • programming skills in Python and MATLAB Simulink, knowledge of the Modelica language is of great advantage
  • experience and knowledge in numerical simulation techniques and multidomain coupled systems
  • knowledge in machine learning and statistics is an added benefit
  • good academic performance
  • structured, independent, and result-oriented work style
     

 

What you can expect

  • challenging tasks in highly relevant and application-oriented subject areas
  • interdisciplinary research on future-oriented technologies
  • flexible working hours
  • modern research infrastructure
  • insights into possible topics for internships and theses
  • an open and cooperative working environment
     

 

The weekly working time is 39 hours. This position is also available on a part-time basis. 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. 

 

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 questions, please contact:
bewerbung.studenten@ivi.fraunhofer.de 

 

You can find more information on the institute online:
www.ivi.fraunhofer.de/en


 

Fraunhofer Institute for Transportation and Infrastructure Systems IVI 

www.ivi.fraunhofer.de 

 

Requisition Number: IVI-Hiwi-00733                Application Deadline:

 

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Tags: Engineering Machine Learning Matlab Physics Python Research Statistics Testing

Perks/benefits: Career development Flex hours

Region: Europe
Country: Germany
Job stats:  2  1  0
Category: Deep Learning Jobs

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