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.

The Institute for Software and Systems Engineering (ISSE) of the University of Technologies Clausthal is hiring a 

Research assistant in the field of AI-based evaluation and matching systems for the circular economy

(if the personal requirements are fulfilled EG 13 TV-L, Service location: Clausthal-Zellerfeld und Goslar)

at first for a 3-year duration. The job offer is basically part time suitable.

During the duration of the position it is possible to strive for a PhD. The at the Institute for Software and Systems Engineering (ISSE) located Research Group Digitized Green Tech focusses on the design and the development of digital solutions to shape a sustainable future. 

A more detailed summary of our research fields can be found on:

https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digitized-green-tech

Our excellent network on international and national basis offers a perfect start for a scientific or industrial career!

The focus of the activity is on networking various players in the circular economy, for example in the areas of reuse, repair, remanufacturing, and recycling. The goal is to build a system that can find products and components and match them with incoming requests from various stakeholders. To this end, digital systems are being developed that provide AI-supported tools to identify suitable sources and optimize utilization decisions throughout the product life cycle. Various machine learning approaches are to be used for this purpose.Your tasks are: 

• Requirements definition, survey and documentation
• Processing research projects
• Conception of digital systems and services
• Development of AI-supported solution approaches
• Publishing your research results at national and international conferences
• Support in the preparation of lectures, supervision of exercises and scientific work by students
• Implementation of concepts and processes

Your profile:

• Successful degree (Master's, Diploma) in the field of computer science, software systems engineering, digital technologies or comparable qualification
• Openness to varied and exciting topics and tasks in the field of digitized circular economy
• Independent, structured way of working and quick comprehension; ability to quickly familiarize yourself with new concepts
• Enjoy scientific work in a cross-domain context.
• Good knowledge of programming languages (e.g. Python, R, Java, C#, C++) 
• Good knowledge of object orientation and at least basic knowledge of UML
• Knowledge in the field of machine learning 
• Good knowledge of machine learning (e.g. Object Detection & Identification, Generative AI, etc.)
• Experience in project management or scientific project-based research work 
• Good written and spoken English skills (min. B2)
• Good written and spoken German skills (min. B2)

What we offer: 

• Working in a family friendly and collegial environment with dedicated team members and exciting tasks
• Working in industry-near research projects
• Possibility of Homeoffice after consultation
• Lounge area and coffee flat
• Frequent coachings and seminars for further education 

The Payment is directed after the collective agreement of the public service (TV-L).

We are looking forward to your application. Please feel free to contact us if you have any further questions.

Your application documents should always include: Short curriculum vitae (including grade point average of all degrees and subjects as well as grades of all theses); transcripts of all university degrees; transcript of records with detailed grades of all courses; certificates of internships, if applicable; all documents in German or English;

You can send your application until the 19^th of December 2025 in a single pdf file to :
E-Mail: info@isse.tu-clausthal.de

The University of Technology Clausthal strives to increase the proportion of under-represented gender groups in the specialist areas. We therefore welcome applications from the underrepresented group. The Equal Opportunities Office provides further information (Tel.: 05323-72-3106). Severely disabled people are given preference if they are equally suitable. Proof must be attached. Applications from people of all nationalities are welcome. 

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. Submitted application documents will be destroyed after completion of the selection process in compliance with the legal provisions.