PhD: Worker-Centric AI & Robotics Implementation

TUE; Eindhoven; On-site; EUR 36,000 - 45,000; Full time

Benefits offered by this job

ABP pension scheme

8% holiday allowance part of pay

8.3% year-end bonus

Commuting and internet allowance

Job summary

TU/e, Department of Industrial Engineering & Innovation Sciences, seeks a PhD candidate to study how workers shape AI and robotic systems for improved wellbeing and performance. The role spans fieldwork, theory development, and practical guidance across organizations.

You will collaborate with experts in psychology, work design, and human-technology interaction to deliver evidence-based guidance and a doctoral dissertation.

Qualifications

• Master’s degree in a relevant field is required or almost completed.
• Strong interest in human-centred AI and robotics and work design.
• Experience in empirical research and willingness to combine qualitative fieldwork with longitudinal analysis.
• Ability to work independently and collaboratively in an interdisciplinary team.
• Willingness to engage with organizations across sectors.

Responsibilities

• Conduct fieldwork and interviews in varying organization sizes.
• Review AI/robotics applications and assess their potential to support workers.
• Develop and use a transportable lab to study AI and robotics in work.
• Design a longitudinal field study on decision opportunities and productivity.
• Analyse data and translate findings into practical job redesign guidance.
• Publish papers and contribute to a doctoral dissertation.

Skills

English (C1)

Dutch (B2)

Interdisciplinary teamwork

Independent working

Data collection

Education

Master’s degree in Work and Organizational Psychology, Industrial Engineering, HCI, Organizational Design, HRM, Cognitive Science, Sociology or related

Job description

TU/e, Department of Industrial Engineering & Innovation Sciences, seeks a PhD candidate to study how workers shape AI and robotic systems for improved wellbeing and performance. The role spans fieldwork, theory development, and practical guidance across organizations.

You will collaborate with experts in psychology, work design, and human-technology interaction to deliver evidence-based guidance and a doctoral dissertation.