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Technische Universität Clausthal
Research Assistant in the field of AI-based Platforms and Matching Systems for the Circular EconomyTechnische Universität Clausthal • Clausthal-Zellerfeld, de, DE
Research Assistant in the field of AI-based Platforms and Matching Systems for the Circular Economy

Research Assistant in the field of AI-based Platforms and Matching Systems for the Circular Economy

Technische Universität Clausthal • Clausthal-Zellerfeld, de, DE
Vor 23 Tagen
Stellenbeschreibung

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 filling two positions at the Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology.

Research Assistant in the field of AI-based Platforms and Matching Systems for the Circular Economy

The positions are 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. A part-time employment is generally possible. During the duration of the position, it is possible to strive for a PhD.

Work location: Clausthal-Zellerfeld and Goslar.

The Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology is building a new team in the field of the digitized circular economy as part of various research projects. This team will be part of the Digitized Green Tech research group based at ISSE and will focus on the design and development of digital solutions and approaches for a sustainable future. A more detailed description of the group’s individual research priorities can be found here on our website:

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 our work is on connecting various stakeholders in the circular economy, particularly in the areas of reuse, repair, remanufacturing, and recycling. The goal is to research platform systems with AI-based agents where, on the one hand, products and components can be listed and, on the other hand, matched with incoming requests from various stakeholders. To this end, digital systems are to be developed that provide AI-supported tools to identify suitable buyers and optimize utilization decisions throughout the product lifecycle. The goal is to create a PULL logistics system in which the incentive to reuse products and components is not created by the current owners, but rather the pull is generated by the reusers who need a product or component. Various machine learning approaches will be employed for this purpose.

Area of responsibility

  • 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

Employment requirements

The following are required:

  • 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, Multi-Agent-Systems etc.)
  • Experience in project management or scientific project-based research work
  • Good written and spoken English skills (min. C1)
  • Good written and spoken German skills (min. C1)

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
  • Lounge area and coffee flat
  • 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 2026-08-31.

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 https://www.tu-clausthal.de/universitaet/karriere-ausbildung/stellenangebote/hinweise-zum-datenschutz-im-bewerbungsverfahren

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Research Assistant in the field of AI-based Platforms and Matching Systems for the Circular Economy • Clausthal-Zellerfeld, de, DE

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