Research Assistant (m/f/d) in the field of artificial intelligence for Smart Water Cycles

Das ist der Job

The willingness to complete an academic qualification (doctoral degree or habilitation) is expected.

Darum lohnt es sich

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 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 Computer Sciences, Informatics (of any kind), or similar Desire to conduct research while working on a 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 Possibility of a doctorate in cooperation with research partners and companies in Germany, as well as internationally Family‑friendly and collegial working environment with interdisciplinary responsibilities Opportunity to independently develop innovative approaches and evaluate results directly in industrial projects Lounge area, joint activities and team events Collectively agreed remuneration in accordance with the TV‑L collective agreement, a separate supplementary pension (VBL), 30 days of holiday and days off on Christmas Eve and New Year’s Eve Varied and challenging job in a lively university environment Work‑life balance through flexible work, part‑time models, and mobile working within official possibilities Occupational health management, university sports offers, and corporate benefits Future‑oriented development and qualification opportunities Opportunity to actively participate in further development of our university All benefits of working in the public sector Have we piqued your interest?

Please review our privacy policy regarding the application process at https://www.tu-clausthal.de/universitaet/karriere-ausbildung/stellenangebote/hinweise-zum-datenschutz-im-bewerbungsverfahren. #J-18808-Ljbffr 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. 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.

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). Please apply on our website by clicking the “Online Application” button.

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. Contact For questions, 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 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.