Meet ApplyKite Twin, the application assistant that learns with you
Meet your Twin, it learns with you
Your Twin learns with you
Launch week codes:30% off annual Pro20% off monthly Pro
Ends in00h00m00s
Ends in00h00m00s
Pascale Le Blanc
6 days ago
PhD on worker-augmenting technology implementation Eindhoven University of Technology in Netherlands
Degree Level
PhD
Field of study
Sociology
Funding
Full-time PhD position for 4 years with a gross base salary of €3,204 to €4,051 per month, plus 8% holiday allowance and 8.3% year-end bonus.
Deadline
Dec 7, 2026
Country
Netherlands
University
Eindhoven University of Technology
Apply for this position
Free with an ApplyKite account: the application link, the deadline in your tracker and a check of your fit.
Keywords
Suggested positions
About this position
This PhD project explores how workers can shape the AI and robotic systems they use so that technology supports rather than replaces human work. The research sits within the NWA project AUGMENT, which focuses on worker-augmenting technology implementation across different organizations and job contexts.
You will study how technologies are selected, introduced, and adapted in everyday work, and how decision opportunities for workers can be designed so they improve job quality, well-being, and performance. The project connects work and organizational psychology, work design, human-technology interaction, and participatory design to develop evidence-based guidance for organizations adopting AI and robotics.
The work is embedded in the Human Performance Management group in the School of Industrial Engineering at Eindhoven University of Technology. The group studies the psychological and organizational processes that contribute to performance at individual, team, and organizational levels, with a strong focus on the role of people in operational and innovation processes.
As a PhD candidate, you will carry out fieldwork with practical and knowledge workers in small, medium-sized, and large organizations; review AI and robotic applications; interview technology integrators; and assess technologies for their potential to support workers. You will also help develop a transportable laboratory setting at TU/e for simulated work activities and decisions about AI and robotics, and design a longitudinal field study on how workers use decision opportunities over time.
The wider consortium brings together expertise on changing work, worker agency, technology design, and implementation. This creates a multidisciplinary research environment with opportunities to collaborate with partner organizations, researchers from different institutes, and stakeholders who are directly involved in the project’s practical and scientific aims.
The position offers a research setting that combines field-based investigation, lab-based simulation, and applied collaboration to generate practical guidance for job redesign and worker-supportive technology implementation.
Funding details
Full-time PhD position for 4 years with a gross base salary of €3,204 to €4,051 per month, plus 8% holiday allowance and 8.3% year-end bonus.
What's required
A (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. 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, with willingness to develop methods not yet used. Ability to work independently and collaboratively in an interdisciplinary team and with workers and organizational partners, and to communicate complex findings clearly. Proactive approach to collecting data across public and private organizations. Excellent written and spoken English at C1 level; Dutch at B2 level or above is useful for fieldwork. Motivated to develop teaching skills and coach students.
How to apply
Apply through the AcademicTransfer application page. Prepare your application for the TU/e process and follow the instructions on the application website. Contact the listed supervisors or HR officer if you have questions about the position or procedure.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Professors
Prof. Dr. at Eindhoven University of Technology
Netherlands
Research Interests
Artificial Intelligence
Industrial-organizational Psychology
Human Factors Engineering
Design
Sociology
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.