Research assistant (m/f/d)

In the research group Machine Learned Models for Engineers (ML4E) at the Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology, a position as a

research assistant Employee in the field of artificial intelligence for engineering-related research data management

(if the personal requirements are met E 13 TV-L)

initially full-time for a period of up to 3 years. The position is generally suitable for part-time work.

Current developments in artificial intelligence, in particular machine learning, indicate that these systems will soon be supporting people in their work in a variety of areas.

Whether the acceleration of complex simulation models through AI approximations or the use of large language models to search for research papers and the associated software, we want to continue to make forward-looking contributions here with our team.

We need you for this!

• Are you a computer science graduate with strong expertise in deep learning, LLM and AI?
• You also want to familiarize yourself with an engineering application domain

Then apply now!

You can find more information about the research topics on our website: https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/

• Research on approaches to use AI (especially language models) to support engineers and engineering science, together with our ML4E team
• Further development of our metasearch engine Betty's ReSearch Engine, especially around these approaches
• Publications of your results at national and international conferences
• Support in the preparation of lectures, supervision of exercises and students

• Good degree (Master's, Diploma) in computer science, business informatics, mathematics or similar with an interest in scientific work as part of a doctorate.
• Relevant experience in the field of machine learning and artificial intelligence, especially in the area of natural language processing
• Experience in the field of software development
• Independent, structured way of working and quick comprehension, the ability to quickly familiarize yourself with new concepts
• Very good written and spoken German skills
• Good written and spoken English skills

• Experience in software engineering and with software architectures
• Experience with common tools for software development, for example Git, continuous integration and issue tracking
• Experience in web development and web technologies (REST, Javascript, ...)

• A family-friendly and collegial working environment in committed teams as well as interdisciplinary and varied areas of responsibility.
• The opportunity to develop innovative approaches and solutions independently
• The opportunity to evaluate your results directly in industrial projects
• The opportunity to do a doctorate in cooperation with other research partners and companies in Germany and internationally
• Flexible working hours and the option to work from home.
• Lounge lab, table football and social events.
• Regular training and further education.

Remuneration is based on the collective agreement for the public service of the federal states (TV-L). The TV-L provides for an annual special payment at the end of the year. In addition, we offer a separate supplementary pension as a company pension (VBL).

Clausthal University of Technology supports the compatibility of career and family through flexible working time models within the scope of official possibilities and is a member of the university association "Family in the University".

Equality with its facets of equal opportunities, diversity and family friendliness is an important concern at Clausthal University of Technology. People with disabilities are given priority if they are suitable. Applications from people of all nationalities are welcome.

Your application documents should in any case include Short CV (incl. grade point average of all degrees and subjects as well as grades of all final theses); Certificates of all university degrees; Transcript of Records with detailed list of grades of all courses; Certificates of internships, if applicable; All documents in German or English).

Please send your application by e-mail together with the usual documents (in a single PDF file) by 30.03.2025 to: info@isse.tu-clausthal.de

Please do not hesitate to contact us if you have any questions. We look forward to hearing from you!

Please note our information on data protection in the application process at https://www.tu-clausthal.de/universitaet/karriere-ausbildung/stellenangebote/hinweise-zum-datenschutz-im-bewerbungsverfahren. Application costs cannot be reimbursed. The application documents will be destroyed after completion of the selection process in compliance with legal regulations.

Requirements for the applicant:

Advanced knowledge: Machine Learning, Research