Clausthal University of Technology is a research-intensive university with strong national and international networks. Its approximately 80 professors, 1,100 staff members, and 3,000 students benefit from short communication channels, a personal atmosphere, and the stunning landscape of the Harz Mountains, a UNESCO World Heritage Site. As the region’s largest employer, Clausthal University of Technology is the most important economic driver and fosters cultural diversity and internationalism. Clausthal University of Technology is fully committed to the overarching theme of the “circular economy” and aims to contribute to the development of a sustainable society in the digital age through research, teaching, and administration.
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.
Research Assistant (m/f/d) in the field of artificial intelligence for Smart Water Cycles
The position is full-time, remunerated according to the German TV-L scheme (up to grade E 13, contingent on applicant qualifications), and offered for an initial duration of 3 years. The willingness to complete an academic qualification (doctoral degree or habilitation) is expected. A part-time employment is generally possible.
In the ML4E research group, we develop methods to support engineers and scientists through the use of machine learning. In the area of “Smart Water Cycles,” we focus on ML-based forecasting models for various water management applications. Today, we are already making significant contributions to predicting extreme events. A flagship project is our AI-based flood early warning system, which was awarded the “Climate Municipality 2024” prize.
Current research findings indicate that data-driven models based on innovative architectures, such as transformers or graph neural networks, hold great potential. This is where our work comes in. Use cases for these models include, as previously mentioned, the prediction of extreme events (e.g., from weather and remote sensing data) and applications in agriculture, where water resources need to be used efficiently (e.g., in field irrigation).
Further information about our research topics can be found on our website:
Area of responsibility
- Conducting research on approaches for using forecasting models in water-related applications in collaboration with our ML4E team
- Designing and implementing prototypes of these approaches
- Publishing your findings at national and international conferences
- Assisting with lecture preparation, supervising exercises, and supporting students
Employment requirements
The following are required:
- Background in Software Engineering
- Academic degree (Master, Diplom) in the field of Computer Sciences, Informatics (of any kind), or similar
- Wish to conduct research and working on your PhD
- Experience in conceptualizing and implementing AI Systems
- Interest in the above-mentioned domains
- Excellent German skills
- Excellent English skills
Desirable are:
- Experience in water systems
- Experience in software engineering and software architectures
- Experience with common software development tools, such as Git, continuous integration, and issue tracking
What we offer
- The possibility of a doctorate in cooperation with other research partners and companies in Germany, as well as internationally.
- A family-friendly and collegial working environment in committed teams as well as interdisciplinary and varied areas of responsibility.
- The opportunity to independently develop innovative approaches and solutions as well as the opportunity to evaluate the results directly in industrial projects.
- Lounge area, joint activities and team events
- a collectively agreed remuneration in accordance with the collective agreement for the public service of the federal states (TV-L), as well as an annual special payment at the end of the year in accordance with the TV-L and a separate supplementary pension as a company pension (VBL), 30 days of holiday and days off on Christmas Eve and New Year's Eve
- A varied and challenging job in the lively environment of a university
- Work-life balance through flexible work and part-time models as well as mobile working within the scope of official possibilities
- Occupational health management, university sports offers and corporate benefits
- Future-oriented development and qualification opportunities
- the opportunity to actively participate in the further development of our university
- all the benefits of working in the public sector
- A family-friendly and collegial working environment in committed teams as well as interdisciplinary and varied areas of responsibility.
Have we piqued your interest?
Please apply on our website by clicking the “Online Application” button (see below).
Equality in all its forms, equal opportunity, diversity, and family-friendliness are important priorities for Clausthal University of Technology. Candidates with severe disabilities will be given priority if they are otherwise qualified. We welcome applications from people of all nationalities.
We look forward to seeing you!
contact:
If you have any questions, please contact Ms. Simone Dahms by e-mail (simone.dahms@tu-clausthal.de).
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
Applications, accompanied by the usual supporting documents, may be submitted via our online portal (see below) no later than 2026-08-10.
Unfortunately, application fees are non-refundable. Application materials will be destroyed in accordance with legal requirements once the selection process has been completed. Please review our privacy policy regarding the application process at .