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

One of your possible topics:

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

Analysis and implementation of advanced control algorithms for power electronic modules

Application of Machine Learning algorithms for Predictive Maintenance and Digital Twin development of power converters

Research and development of lightweight high-power DC-DC converters for Unmanned Aerial Vehicles (UAV)

Investigation of Variable Input High-Power Inverters in GaN or SiC Technology

Your profile

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

Knowledge in power electronics or related fields through your studies or previous projects

Proficiency in using simulation tools (Matlab, Simulink, Simscape) and programming languages (C/C++, Python)

Experiences in hardware development and with low-level programming of microcontrollers is advantageous

Confidence in using circuit simulators such as LTSpice as well as aboratory equipment (Power supplies, Soldering station, Oscilloscope) is advantageous

Experience in working with electric drive test benches and HIL-systems is advantageous

Excellent command of German and English

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 1159

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

Development and evaluation of software and communication concepts for innovative embedded systems in the field of electromobility

Implementation and testing of prototype software

Scientific investigations of software-based concepts for Intelligent Drive Systems in the areas of:

Novel communication techniques for massively distributed systems

Strategies to increase the safety of electric drives

Security concepts for integrity protection

Massive parallelization and distribution of management software

Implementation of AI algorithms for management

Possibility of doctoral studies for professional and personal development

Your profile

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

Experience in working with C/C++ and scripting languages (Python) as well as Matlab/Simulink

Experience in scientific work and in the development of safety-critical systems as well as knowledge of distributed systems and multi-core architectures are desirable

Excellent command of German and English

Ability to work independently and in a team

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 1158

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

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!

Your tasks

• Development of methods for detecting and classifying anomalies in road traffic (construction sites, traffic jams, hazards) based on sensor data from vehicles and the infrastructure
• Programming algorithms for data fusion (ideally C++ and/or Python)
• Implementation of measurement campaigns to collect data for the development and validation of the algorithms
• Data analysis using statistical and machine learning methods

Your profile

• Scientific university degree in electrical engineering, physics, automotive engineering, mechanical engineering, materials science, computer science, mathematics or a related field
• Excellent command of German or English and at least basic knowledge of the other language
• Experience in image processing, sensor data fusion and machine learning
• Experience in the field of sensors - Sound programming experience (C++, Python, Matlab)
• Experience in the field of virtual validation (e.g. CarMaker or Virtual Test Drive) and/or robotics is desirable
• Strong communication and teamwork and good organizational skills

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

2 Years

· Payment

according to TV-L EG 13

· Location

Ingolstadt

· Application until

11.08.2023

· 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 1126

please feel free to contact
Dominik Schneider

karriere@thi.de
+49 841 9348-5064

We look forward to you!