Job advertisement

Clausthal University of Technology is a research-intensive university with a strong national and international network. The approximately 80 professors, 1,100 employees and 3,000 students enjoy short distances, personal contact and the fascinating landscape in the middle of the UNESCO World Heritage Harz Mountains. As the largest employer in the region, TU Clausthal is the most important economic factor and offers cultural diversity and internationality. Clausthal University of Technology has committed itself to the guiding theme of the "Circular Economy" throughout the university and pursues the goal of contributing 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.

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

TV-L E 13, 100%, Location: Clausthal-Zellerfeld)

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

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: www.isse.tu-clausthal.de/forschung/forschungsgruppen/

Your tasks include:

  • 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

Your profile:

  • 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

Desired knowledge in the following areas:

  • 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

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 30.04.2025. 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.