Research Assistant - PhD Student - Data-Driven Modeling and AI for Battery Systems (with PhD Opportunity) (m/f/d)

As the largest university working group in Germany in the field of battery technology and system integration, ISEA is one of the leading international research institutions in this pioneering field at the Faculty of Electrical Engineering and Information Technology at RWTH Aachen. Topics such as digitalization and AI-based modelling and optimisation of battery systems are a central focus of the institute's globally recognized research competence. Our goal is to optimize the use of modern battery systems across a wide range of applications. We explore battery systems of all relevant technologies and develop high-precision models for electrical and thermal simulations, life forecasts as well as innovative diagnostic and AI algorithms. These models form the basis for the reliable determination of state of charge, performance and aging mechanisms of modern batteries. With our research we make a significant contribution to the development of powerful, sustainable and intelligent battery systems – for electromobility, stationary energy storage and the energy supply of the future. A special highlight for our employees is the Center for Ageing, Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL) on campus Melaten. Over 5,000 m2 of state-of-the-art office and laboratory areas provide ideal conditions for interdisciplinary top research. More than 150 scientists work closely connected to the entire value chain – from material research to production and system integration to AI-based energy system analysis. 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.

In your work, you will develop intelligent, data-driven approaches to analysis, modelling and evaluation of modern battery systems – with a special focus on aging processes, digital twins and AI-based diagnostic methods. You combine experimental work with advanced modeling and machine learning, develop innovative battery models, generate and analyze extensive laboratory and field data and derive modern diagnostic, monitoring and forecasting methods. In addition, you are working on AI-based methods for identifying and classifying aging mechanisms, optimizing efficient testing and evaluation processes, and building networked, cloud-based data and modeling platforms for intelligent real-time monitoring. You will discuss and validate your results in exchange with leading partners from science and industry, such as national and international research cooperations, joint projects, workshops and trade fairs. Overall, you actively shape the digitalization, automation and AI-based future of battery technology – from modelling to test methods to intelligent, cloud-based life forecasts.

Would you like to work in a top university environment while working closely with industrial partners? Are you interested in the connection of theoretical research and practical engineering research and would you like to develop innovative solutions? You can also imagine a promotion in the field of modern battery systems? You have a very well completed university degree (master or comparable) in a technical or scientific field (e.g. electrical engineering, mechanical engineering, computer science, physics, materials science) In addition, ideally bring the following: Basic knowledge of lithium-ion battery technology Programming experience, e.g. in Python or MATLAB Interest in machine learning and battery models Affinity for experimental work, especially for battery tests Joy in cooperation in demanding projects with industrial and research partners High motivation, initiative and independent working Teamability and good organizational skills Very good knowledge of German and English in word and writing

What we offer A warm and collegial environment at one of the world's most renowned research institutions in the field of battery technology Divide knowledge growth in a dynamically growing future market (batteries, AI, electromobility, energy storage) Optimum research environment with state-of-the-art infrastructure and close reference to industrial practice Active participation in university teaching and junior funding (e.g. supervision of bachelor's and master's thesis) Possibility to Doctorate at RWTH Aachen in an excellent scientific environment (with Prof. Dr.-Ing. Weihan Li) 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. A possibility to extend to a total of 5 years until the doctorate is planned and desired. 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. If desired, parttime employment can be made possible. 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