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

We are looking forward to filling two positions at the Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology.

• Contract types: Full-time, Part-time

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.

Tasks

• Requirements definition, survey and documentation
• Processing research projects
• Concept 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

profile

++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 ​​(eg 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 (eg 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)