Research Assistant/Associate in the field of control theory

as part of the DFG post graduate program "Integrated Energy Supply Modules for Roadbound E-Mobility"

Contact

Name

Dr.-Ing. Uwe Jassmann

Telephone

workPhone
+49 241/80-28033

E-Mail

Contact

Name

Thomas Konrad M.Sc.

Telephone

workPhone
+49 241/80-28014

E-Mail

Institution

Institute of Automatic Control

Our profile

The Institute of Automatic Control, headed by Prof. Dirk Abel, is located in the Faculty of Mechanical Engineering of RWTH Aachen University, where it represents control and automation engineering. We see ourselves as mediators between control theory and the various application areas of control and automation technology. In addition to our teaching classes in control theory, our research work focuses on mechanical engineering, automotive engineering, process engineering, energy and medical technology.
The post graduate program "Integrated Energy Supply Modules for Roadbound E-Mobility" (mobilEM, http://www.mobilem.rwth-aachen.de/), funded by the German Research Foundation (DFG), pursues the goal of researching the physical basics of electrochemical storage for mobile drives and combining these with novel fuel-driven range-extenders. For the first time, interdisciplinary scientists from the involved natural and engineering sciences will be brought together in the program in order to work on research topics together. Lectures and specially tailored qualification events complement the transdisciplinary offer for graduates.

Your profile

You have successfully completed an University degree (Master or equivalent) in mechanical engineering, electrical engineering or computer science with predominantly control engineering contents. You have a distinct basic knowledge in the field of control and automation engineering and are anxious to further develop your knowledge in this field, to contribute it to scientific projects and to pass it on to students within the scope of teaching activities. You are communicative and able to work in a team, speak and write fluent English and are eager to learn the German language.

Your responsibilities

Within the working group "Energy" you will address the versatile control engineering issues in the field of hybrid energy systems with fuel cells as part of the post graduate program. You will investigate and evaluate modern methods of machine learning, adaptive model-based control strategies and optimization-based operating strategies both simulatively and experimentally. You will demonstrate the efficiency of the developed algorithms on our system test bench, so that the deployment to real-time prototype hardware will also be part of your field of activity.
At the earliest possible date, we are looking for a committed employee who is engaged in researching and implementing innovative automation solutions for mobile storage systems with fuel cells.

What we offer

The successful candidate will be employed as a regular employee.
The position is to be filled 01.10.2019 until limited to 2 years. An extension for further 3 years is provided.
This is a full-time position.
The successful candidate has the opportunity to pursue a doctoral degree in this position.
The salary corresponds to level EG 13 TV-L.

RWTH Aachen University is certified as a Family-Friendly University.
We welcome applications from all suitably qualified candidates regardless of gender.
We particularly welcome and encourage applications from women, disabled persons and ethnic minority groups, recognizing they are underrepresented across RWTH Aachen University.
The principles of fair and open competition apply and appointments will be made on merit.
RWTH Aachen is an equal opportunities employer. We therefore ask you not to include a photo in your application.
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Application
Number:27802
Application deadline:15.08.2019
Mailing Address:RWTH Aachen University
Institute of Automatic Control
Dr.-Ing. Uwe Jassmann
Campus-Boulevard 30
52074 Aachen
Email:
Please note, however, that communication via unencrypted e-mail poses a threat to confidentiality as it is potentially vulnerable to unauthorized access by third parties.