Electromobility? Learning systems? The Electromobility and Learning Systems (ELS) research group is part of the Institute for Innovative Mobility (IIMo) and researches application-driven methods for the development, production and operation of electric vehicles. Shape the mobility of the future with us!

https://www.thi.de/forschung/institut-fuer-innovative-mobilitaet-iimo/els/

Your tasks

Develop and implement advanced AI algorithms, focusing on their application in the production and operation of electrical drive systems.

Analyze production and operation data to extract relevant features, employing advanced data-driven approaches.

Integrate AI systems into existing lab test benches to enhance electric mobility solutions.

Collaborate closely with industry partners to apply and validate the developed solutions, ensuring real-world impact.

Publish research results in reputable journals and conferences, sharing knowledge and driving further advancements.

Work collaboratively with a diverse team of engineers and scientists from different disciplines and fields of expertise.

Explore the opportunity to pursue a Ph.D. in a relevant research area and significantly contribute to your academic journey.

Your profile

Scientific university degree in artificial intelligence, computer science, electrical engineering, mechanical engineering, or a related field

Proficient knowledge of artificial intelligence, machine learning, and data analysis

Proficiency in programming languages such as Python, MATLAB, R, or C++

Hands-on experience with popular machine learning libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn is an advantage

Familiarity with electric drive systems or production processes is advantageous

Excellent command of German and English

Enthusiasm for innovative technologies in electric mobility and manufacturing as well as cxvellent communication and teamwork skills, coupled with a structured and independent approach to work

What we offer

excellent labratory equipment

innovative working environment

collaboration with industry partners

comprehensive support & guidance

future oriented learning opportunities

doctorate in engineering and information science

homeoffice & mobile working

flexible working hours

canteen & restaurant

parking on the campus

Short info

Contract: 40.10 h/week

Duration: 36 months (contract extension being sought)

Payment: according to TV-L EG 13

Location: Ingolstadt

Application until: 08.09.2023

Good to know: In general, our positions are available on a part-time basis. Severely disabled applicants are given preferential consideration in the event of equal qualification. We are striven to increase the number of employed women and therefore particularly welcoming towards applications from women (Article 7(3) BayGIG).

Contact

ANR 1157

please feel free to contact

Dominik Schneider

karriere@thi.de

+49 841 9348-5064

We look forward to you!

Electromobility? Learning systems? The Electromobility and Learning Systems (ELS) research group is part of the Institute for Innovative Mobility (IIMo) and researches application-driven methods for the development, production and operation of electric vehicles. Shape the mobility of the future with us!

https://www.thi.de/forschung/institut-fuer-innovative-mobilitaet-iimo/els/

Your tasks

Possible doctoral projects are (but not limited to):

Research and design of innovative high-efficiency inverter topologies such as Multilevel Inverters

Impedance spectroscopy for battery diagnosis

Data Analytics for fuel cell testing

Scientific investigations of software-based concepts for Intelligent Drive Systems

AI for anomaly detection in the production of electrical drive components

Your profile

Scientific university degree in electrical engineering, physics, mechanical engineering, computer science or a related field

Excellent command of German and English

Basic programming skills in Matlab/Simulink, C/C++ and/or Python

Ability to work independently and in a team

Problem solving ability and creativity

What we offer

excellent labratory equipment

innovative working environment

collaboration with industry partners

comprehensive support & guidance

future oriented learning opportunities

doctorate in engineering and information science

homeoffice & mobile working

flexible working hours

canteen & restaurant

parking on the campus

Short info

Contract: 40.10 h/week

Duration: 36 months (contract extension being sought)

Payment: according to TV-L EG 13

Location: Ingolstadt

Application until: 08.09.2023

Good to know: In general, our positions are available on a part-time basis. Severely disabled applicants are given preferential consideration in the event of equal qualification. We are striven to increase the number of employed women and therefore particularly welcoming towards applications from women (Article 7(3) BayGIG).

Contact

ANR 1156

please feel free to contact

Dominik Schneider

karriere@thi.de

+49 841 9348-5064

We look forward to you!