Research assistant in data-driven materials science

Research assistant in data-driven materials science (m/f/d)

The Institute for Materials Science and Engineering at Clausthal University of Technology is pleased to announce a research assistant position available for 3 years
with the option of pursue a PhD. The position is embedded in a cooperation with the Institute of Software and Systems Engineering and we wish to fill it as soon as possible. We welcome applications from individuals who are motivated, enthusiastic, and collaborative, demonstrating a commitment to developing solutions for pressing global challenges.

The role centres on data-driven modelling of process–structure–property relationships, including 2D/3D microstructure reconstruction. We aim to develop AI-enabled models to analyse and control novel manufacturing processes that utilise secondary raw materials. The successful candidate will join a broader team of Research Assistants advancing data-driven engineering.

The Institute for Materials Science and Engineering at Clausthal University of Technology has a strong application focus in Research and Teaching. The research group Digitalisation in Materials Science and Engineering focusses on researching process-structure property relationships of architectured and classic materials. The prospective candidate should strengthen this area strategically so that we seek a candidate with a background or interest data-driven materials science.

• Conducting an externally funded research project on data-driven process-structure process relationships.
• Publication of research results in international journals.
• Presentation of research results at international conferences.
• Support for teaching in an area related to the research topic(s).
• Support of general processes of the institute such as administrative procedures as well as conceptual and strategic tasks and questions.
• This position is embedded in a strategic collaboration with partners from the UK and Switzerland. Therefore, the position offers the opportunity for lab-visits abroad if this is of interest.

• Successful completion of a Master’s degree in data science, materials science and engineering, physics, chemistry, mechanical engineering, or a similar subject.
• Experience with methods and approaches of data science ideally strongly skewed towards materials science and engineering or already fully fledged data-driven materials science (evidenced e.g. by respective degree programs, final year theses, or first papers)
• Independent, structured way of working and quick comprehension. This can be illustrated, for example, by first own publications, generated IP, or similar.
• Good written and spoken English and, if necessary, willingness to acquire German language skills.

• A defined research project that you will lead. However, this does include the opportunity and support for personal development.
• Exciting topics and participation in cutting-edge research.
• A family-friendly and collegial working environment in a committed team as well as varied areas of responsibility.
• Flexible working hours and the opportunity to work partly from home or where ever you prefer, although our default is working on premise.

This position is to be filled as soon as possible. Therefore, we review applications and invite for interviews on an ongoing basis. However, we will close the advert on 10 th of February 2026
or as soon as we have found a suitable candidate. Remuneration is based on the collective agreement for the public service of the federal states (TV-L). The salary scale for this position is EG 13 TV-L with an indicative gross monthly salary range is €4,629.74 - €6,580.44 depending on experience). The TV-L provides for a special annual payment at the end of the year.

In addition, we offer a separate supplementary pension scheme in the form of 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".

At Clausthal University of Technology we understand that being diverse…