Master Thesis „Introducing AI-driven Use Cases for Sustainability in manufacturing industry“

Wir machen Führungskräfte

Your Tasks
Research and describe ambitious
sustainability goals by analyzing UN
Sustainable Development Goals, Corporate
Sustainability Reports, ESG criteria of the
stock market,
research and describe AI-driven use cases in
the manufacturing industry through analysis
of studies, papers, and interviews,
develop and explain impact relationships
between a range of sustainability goals and
AI-driven use cases,
design an approach for companies to adopt
AI-driven use case.

Master Thesis
„Introducing AI-driven Use Cases for Sustainability

in manufacturing industry“
Your Profile

Students from the fields of mechanical or
industrial engineering (e.g. MME-PS),
very good knowledge English or German,
both written and spoken,
excellent handling of MS Office applications,
excellent handling of Citavi.

We offer you
Interesting and demanding tasks on the pulse of time,
the opportunity to acquire practical knowledge,
a highly topical and developing topic,
the possibility of flexible time management and independent work.

Sustainability and AI are the hot topics in manufacturing companies. Often, both topics are driven
forward in different departments. Sustainability is either anchored in the form of a staff position
directly under the CEO or as part of corporate communications. AI is either business-driven or
development-driven. It is therefore either implemented on a test basis in prototypes in the specialist
departments or driven forward by the development department. In order for companies to achieve
their ambitious sustainability goals, AI-driven use cases must be described.

Therefore, we now offer the opportunity to create a

Contact person:
Dr.-Ing. Jan Hicking
Phone: +49 241 47705-502
Mail: jan.hicking@fir.rwth-aachen.de

If you are interested, please send your documents (short cover letter, curriculum vitae,
certificates, current excerpt from the grade sheet) in digital form to the e-mail provided.