Doctoral Researcher (m/f/d) in Artificial Intelligence for Engineering-Related Research Data Management

We are looking forward, to fill a position, for the Research Group Machine Learned Models for Engineers (ML4E) at the Institute for Software and Systems Engineering (ISSE) at the TU Clausthal.

Doctoral Researcher in Artificial Intelligence for Engineering-Related Research Data Management

(Depending on your qualifications E 13 TV-L)

The position is for the duration of three years in full-time. Part time is negotiable.

The current developments in artificial intelligence, especially machine learning, indicate that these systems will soon support people in their work in a variety of fields. Less visible but equally disruptive, this development is also taking place in engineering and natural sciences.

Whether it's accelerating complex simulation models through AI approximations or using large language models to search for research papers and related software, we aim to continue making groundbreaking contributions with our team.

That's why we need you!

• Are you a computer science graduate with strong expertise in deep learning, LLM, and AI?
• Are you eager to delve into an engineering application domain?
• Are you excited to collaborate in research and want to pursue a PhD?

Then apply now!

Further information about our research topics can be found on our website: www.isse.tu-clausthal.de/forschung/forschungsgruppen/

Your tasks will be:

• Research on approaches to utilizing AI (especially language models) to support engineers and engineering sciences, in collaboration with our ML4E team.
• Further development of our meta-search engine, Betty's ReSearch Engine, particularly to integrate these approaches.
• Publication of your results at national and international conferences.
• Assistance in preparing lectures, supervising exercises, and mentoring students.

Your profile:

• Strong academic degree (Master's or Diplom) in Computer Science, Business Informatics, Mathematics, or a related field, with an interest in scientific work as part of a Ph.D.
• Relevant experience in machine learning and artificial intelligence, particularly in Natural Language Processing
• Experience in software development
• Independent, structured working style and quick comprehension, with the ability to rapidly understand new concepts
• Strong programming skills and experience with ML libraries (e.g., PyTorch or TensorFlow)
• Excellent German language skills, both spoken and written

• Good English language skills, both spoken and written

Desired knowledge in the following areas:

• Experience in software engineering and software architectures
• Experience with common software development tools, such as Git, continuous integration, and issue tracking
• Experience in web development and web technologies (REST, JavaScript, ...)

We offer:

• A family-friendly working time model/ environment
• Possibility for personal growth as a researcher
• Cooperation with interdisciplinary teams and characters
• Cooperation within industry projects
• Handing in your Dissertation, working on your PhD
• Lounge Lab, Kicker and Social Events

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

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 definitely include: Short resume (including the 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 a detailed grade overview of all courses; If applicable, certificates from internships; All documents in German or English

We are looking forward to receive your application (one PDF File) till the 30.03.2025. Please send it to:info@isse.tu-clausthal.de

Please do not hesitate to contact us if you have any questions.

We are glad to meet 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 requirements.