We seek a motivated and curious PhD candidate to join the High-tech Business & Entrepreneurship Department (HBE) section at the Faculty of Behavioural Management and Social Sciences (BMS) for our project: ELSA4TI (Ethical, Legal, Social, and
economic Aspects for Technical Industry).
Key takeaways - Join the University of Twente to research the economic impact and responsible implementation of AI in high-tech industries;
- Work in close collaboration with the University of Groningen, Tilburg University, and industry partners to shape the future of AI in Dutch manufacturing;
- Conduct case studies, surveys, scenario analyses, and foresight research to develop decision-support tools for AI adoption;
- A 4-year fully funded position, plus benefits, training, and career development opportunities;
Supervised by experienced scholars, embedded in the HBE section, with access to an international research community.
THE CHALLENGEAre you passionate about the economic impact of AI? Do you aspire to contribute to responsible and strategic AI implementation in high-tech industries?
This PhD project is part of the ELSA4TI project, a joint research effort with the University of Groningen, Tilburg University, and industry partners. The aim is to evaluate all ELSA elements in technical industry and advise firms on responsible, strategic AI use.
Using literature reviews, case studies, survey research, and scenario analyses, you will help build actionable insights and decision-support tools for responsible AI adoption. You will work closely with academic experts and industrial collaborators, contributing directly to both theory and practice.
Your research will deliver frameworks that help organizations in the technical industry
evaluate the economic balance of AI adoption, weighing investment and operating costs against measurable returns such as reduced labor input, improved product quality, longer machine uptime, shorter lead times, and more resilient supply chains. In doing so, you will provide firms with
evidence-based blueprints for sustainable AI implementation, supporting both short-term efficiency gains and long-term strategic investment planning.
The project will be supervised by
Dr. Vincent Delke and
Dr. Rainer Harms, scholars at the intersection of technology, economics, and innovation management. As a PhD candidate, you will join a supportive, international research community within the HBE section of BMS.