Research Assistant Consulting in the field of AI-supported Battery Engineering & Testing (m/f/d)

At our innovative chair we develop current know-how in the field of electrical mobility components. As part of our national and international industrial and research projects, we also provide excellent presentation skills in addition to project management. Hands-on mentality can be developed with us through practical tasks in one of our two machine halls with the most modern infrastructure. True to our motto “PEM – Science for E-Mobility Production”, we combine eight research groups in three areas. We continuously develop the production processes of electric vehicles and their components (battery, electric motor and fuel cell). Research group “Battery Engineering & Safety” (BES) The research group “Battery Engineering & Safety” at the chair PEM contributes to powerful, secure, sustainable and economical battery cells and systems of the future. From the implementation of strategic consulting projects to the investigation of specific technical issues – both constructively and simulatively as well as operationally, with prototypes in the laboratory – the team focuses on almost all topics relating to the product of the battery cell and the battery system. The environment Our versatile and demanding topics enable close cooperation with leading and skilled OEMs, automotive suppliers, machine and plant manufacturers, startups and other well-known industrial partners. The RWTH is certified as a family-friendly university. RWTH offers a variety of health, counselling and prevention services (e.g. university sports) as part of a university health management. There is a wide range of training and the possibility of obtaining a job ticket for employees and civil servants.

You work at the interface of computer science, AI and battery technology in close cooperation with leading industrial partners (OEMs, suppliers, mechanical engineering, start-ups). The activity offers you the opportunity to develop your own doctoral project in a highly topical field of research, for example in the field of: Automation and digitization of test and development processes AI-based analysis of battery test data Use of Large Language Models in Engineering context You benefit from a unique combination of methodological research, practical application in the laboratory and strategic project work with industrial partners. Development and application of AI methods in the context of battery testing and development Analysis and preparation of large test data sets and derivation of models and decision logics Cooperation in industrial and research projects from conception to implementation Conception of new approaches to the automation of test, analysis and documentation processes Integration of AI solutions into existing development and test environments Support for students and participation in teaching Designing your own research focus within your doctorate

You have a successfully completed degree (master or comparable) in the field of computer science, data science, artificial intelligence, automation technology or a related field. You have profound knowledge in the field of machine learning, ideally focusing on large language models. You are familiar with the basics of the use of AI systems (e.g. model architectures, training, evaluation, deployment) and are interested in understanding and developing them in depth. You are interested in applying AI methods to real engineering problems, especially in the context of battery cells. Prior knowledge of battery technology is not required, but you will be prepared to work in this area. You work structured, independent and solution-oriented, are curious and motivated to actively shape new topics. You speak and write fluent German and English.

We offer you 30 days holiday with full-time job & bridge day control Flexible working hours by sliding time Possibility of partial home office work Events for all employees and team events Annual special payment, provided that the requirements are met Modern IT equipment Our offer The employment is in the employment relationship. The place shall be occupied at the next possible time and shall be limited to 2 years. An extension of at least one year is envisaged. The temporary employment is carried out within the framework of the time-limits of the science-time contract law. It is a full-time job. There is a doctoral opportunity. The grouping depends on the TV-L. The place is rated with EG 13 TV-L. The job description is aimed at all sexes. We want to promote the careers of women at RWTH Aachen University and are therefore looking forward to applicants. Women are preferably taken into account in the case of equal suitability, competence and professional performance, provided You are underrepresented in the organisational unit and, if not in the person of a competitor, outweigh the reasons. Applications for suitable people with difficulty are expressly desired. For the purposes of equal treatment, we ask you to waive an application photo. Information on the collection of personal data pursuant to Articles 13 and 14 of the General Data Protection Regulation (GDPR) can be found at https://www.rwth-aachen.de/dsgvo-information-bewerbe