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Eindhoven University of Technology
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PhD on Worker-Augmenting AI and Robotics Technology Implementation Eindhoven University of Technology in Netherlands
Degree Level
PhD
Field of study
Computer Science
Funding
Full-time employment for four years, with an intermediate assessment after nine months, including 10% teaching duties and a maximum of 15% teaching per year. Salary follows the Collective Labour Agreement for Dutch Universities, scale P, with a gross full-time monthly salary of €3,204 to €4,051. Benefits include an 8% holiday allowance, an 8.3% year-end bonus, pension arrangements, paid pregnancy and maternity leave, partially paid parental leave, generous leave, commuting, home-working and inte
Deadline
Dec 7, 2026
Country
Netherlands
University
Eindhoven University of Technology
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About this position
Eindhoven University of Technology is inviting applications for a PhD project on worker-augmenting technology implementation within the multidisciplinary NWA-project AUGMENT. The research asks how workers can shape the AI and robotic systems they use so that technology supports, rather than replaces, human work.
Embedded in the Human Performance Management group of the School of Industrial Engineering, the project connects work and organizational psychology, work design, human-technology interaction and participatory design. The research will examine what forms of assistance workers need, which AI and robotic technologies can meet those needs, and how workers can adjust technology while maintaining job quality, well-being and performance.
The doctoral researcher will conduct fieldwork with practical and knowledge workers in small, medium-sized and large organizations, including task and capacity analyses and interviews about work experiences and desired support. They will review AI and robotic applications, interview technology integrators, and assess potential human-machine synergies.
The project also includes developing and using a transportable laboratory setting at TU/e to study simulated work activities and decisions about AI and robotics. A longitudinal field study will investigate how workers use decision opportunities over time and how these affect labour productivity and meaningful work. The researcher will analyse qualitative and quantitative data, develop practical job-redesign guidance with partner organizations, publish scientific papers, present at international conferences and complete a doctoral dissertation.
Supervision is provided by promotor Pascale Le Blanc and co-promotors Anna-Sophie Ulfert-Blank and Milan Wolffgramm, with Paul Preenen as scientific advisor. The PhD researcher will collaborate with the AUGMENT consortium, partner organizations and researchers across disciplines in the international, technology-focused Brainport Eindhoven environment.
Funding details
Full-time employment for four years, with an intermediate assessment after nine months, including 10% teaching duties and a maximum of 15% teaching per year. Salary follows the Collective Labour Agreement for Dutch Universities, scale P, with a gross full-time monthly salary of €3,204 to €4,051. Benefits include an 8% holiday allowance, an 8.3% year-end bonus, pension arrangements, paid pregnancy and maternity leave, partially paid parental leave, generous leave, commuting, home-working and inte
What's required
Applicants must have a completed or nearly completed Master's degree or equivalent university degree in Work and Organizational Psychology, Industrial Engineering, Human-Technology Interaction, Organizational Design, Human Resource Management, Cognitive Science, Sociology, or a related discipline. They should have a strong interest in human-centred AI and robotics, work design, worker well-being, and action research in private and public organizations; experience with empirical research and an interest in combining qualitative fieldwork with experiments and quantitative longitudinal analysis; willingness to develop unfamiliar methods; ability to work independently and collaboratively in interdisciplinary teams and with organizational partners; ability to translate complex findings into clear scientific and practical outputs; a proactive approach to collecting data across sectors; excellent written and spoken English at C1 level; and motivation to develop teaching skills and coach students. Dutch at B2 level or above is useful for fieldwork.
How to apply
Apply online through the position's Apply button. Submit a cover letter describing your motivation and qualifications and a CV including publications and contact details for three references; applications by email or post are not processed.
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