Research Assistant (m/f/d)

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

academic researcher in the field of AI-based systems for a circular economy

(if the personal requirements are fulfilled EG 13 TV-L)

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 activity includes the conception and development of sustainable ecosystems, in particular for the realization of AI-based, stakeholder-related tools for the life cycle decision of products and based on this the matching of different actors from the areas of the circular economy, in particular reusing, repairing, remanufacturing, repurposing and recycling to each other for the realization of an agile network. Various machine learning approaches will be used here.

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
• Homeoffice
• 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 31^st of Mai 2025  in a single pdf file to :
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.