Postdoctoral Researcher with a focus on machine learning

Hochschule Aalen – HeadThe following position is available to be filled at the earliest possible date at Aalen University of Applied Science in the Department of Computer Science:Postdoctoral Researcher with a focus on machine learning (f/m/d)- full-time 100 % (39.5 hrs/week) -Become part of our strong team Aalen University is one of the most research-intensive universities of applied sciences in Germany. Regionally, nationally, and internationally, Aalen University has been a reliable partner for over 60 years – for students, staff, and lecturers, for local communities, the economy, and more than 130 international cooperation partners worldwide. We attach great importance to modern and future-oriented teaching because the combination of theory and practice is crucial for us.In our endeavor to develop cutting-edge AI technologies and apply them to areas with high societal and economic impact, we have been awarded a major grant from the Carl-Zeiss-Stiftung.

The project KI-Booster unites researchers with extensive expertise in machine learning and those with a proven track record in smart manufacturing and materials processing, aiming to elevate AI-guided manufacturing and materials processing to a new level. The project team comprises 6 professors, 1 postdoctoral researcher, and 6 PhD students. They aim to develop physics-informed transformer models and apply them to targeted domains such as novel batteries and magnets, innovations in photonic device manufacturing, and AI-controlled selective laser melting.Your responsibilitiesTake a leading role in shaping the project and mentoring the 6 PhD studentsDevelop innovative methods for the integration of domain knowledge into physics-informed transformer models across various application areasPublish your research at high-ranking conferences and leading journalsOrganize workshops and seminars with internal and external partnersDisseminate project results on both regional and (inter-)national levelsYour profileYou hold an M.Sc.

in Computer Science or a related field along with a PhD focused on Machine Learn-ing.Prior knowledge of transformer models is advantageous.You are curious and passionate about science and driven to create a real-world impact with your work.You are a strong team player, communicative, friendly, and have a positive «can do» attitude.First experience in managing research projects and leading research teams is a plus.You have a high proficiency in English; knowledge of German is highly welcome.What we offerOpportunity to combine high-end research with industrial applicationsExciting and diverse range of tasks in a motivated teamPossibility of mobile workingFlexible working hoursFamily-friendly working environment with childcare close to the universityIndividual opportunities for further trainingModern office equipment and research infrastructureCompany pension scheme and an annual bonusAttractive company health management offersCorporate benefitsJobBike BW, subsidy for the Deutschlandticket and free parking spacesThe position is limited until 31.10.2028 and is generally divisible.The position will be classified in pay group 13 of the collective agreement for the public service of the federal states (TV-L), provided that the legal and personal requirements are met. Severely disabled applicants who qualify will be given special consideration. Further information can be found at https://www.hs-aalen.de/sbv.Aalen University of Applied Sciences aims to increase the number of women in areas where women are underrepresented and therefore expressly encourages women to apply.

For further information, please contact the Equal Opportunities Officer, Ms. Anthoni-Harpeng https://www.hs-aalen.de/chancengleichheit/.Ask us Would you like to know more about this position? Feel free to contact Martin Heckmann, martin.heckmann@hs-aalen.de.Are you interested?

Then we look forward to receiving your application (reference number 25-08-02) by 15.09.2025 via our online application portal at www.hs-aalen.de/stellen.The KI-Booster project and the position offered above are made possible by funding from the Carl-Zeiss-Stiftung.