Reference code: CON-029
Thesis: ML-based analysis of the maturity of novel technologies
ML-based analysis of the maturity of novel technologies
Aachen, Cologne, Munich
FEV Consulting GmbH
What we do - and why!
Mobility connects people. People shape mobility. With over 6,600 employees around the globe, we develop revolutionary and efficient drive systems, we cross-link vehicles with each other and their surroundings, and we strive to make our lives safer using intelligent systems. We need the right people at the right place to do so. People who turn visions into reality – who think outside the box and promote innovation. People who are ready to push the envelope. Are you ready?
With regard to novel technologies, there is often discussion about their level of maturity and the likelihood that they will be implemented. Currently, this is often decided on the basis of experts who are knowledgeable in their respective fields. However, these experts are not always independent, or they do not have all the information at their disposal.
This is where ML-based analysis comes in. By automatically collecting various sources of information (e.g. websites, scientific publications), enriched with expert knowledge and in combination with machine learning, it should be possible to provide an estimate of the maturity level.
Your main tasks:
- Development of a scoring system for novel technologies using ML
- Implementation of a prototypical application
- Background in data analytics and machine learning / coding
- Study of Computer Science, business informatics, Industrial, Mechanical or Electrical Engineering or a related field of study
What we offer
Design the mobility of tomorrow
Work on innovative and forward-looking challenges.
Expand your horizons
We offer you a personal mentoring program as well as numerous training opportunities.
A comprehensive company sports programme and company health management will keep you fit and ensure the right balance.
The team is our most important success factor. We attach great importance to a respectful, collegial and loyal way of working.