PhD: Designing Worker-Augmenting AI & Robotics

AcademicTransfer; Nederland; On-site; EUR 36,000 - 45,000; Full time

Benefits offered by this job

Full-time employment for four years

Pension scheme and paid leave

8% holiday allowance and 8.3% year-end

Commuting and internet cost allowance

Job summary

Eindhoven University of Technology (TU/e) is inviting applications for a PhD candidate to join the AUGMENT project in the Human Performance Management group. This role focuses on how workers shape AI and robotic systems to improve work life and performance.

You will conduct fieldwork, analyze data, and contribute to theory and practice across organizations, collaborating with international partners and supervisors. The position includes teaching tasks and substantial research time.

Qualifications

• Master’s degree required in a relevant field.
• Proven interest in human-centered AI and robotics.
• Experience with empirical research and longitudinal analysis.
• Ability to work independently and in interdisciplinary teams.
• Willingness to develop new methods.
• English proficiency; Dutch helpful.

Responsibilities

• Conduct fieldwork and collaborate with organizations and workers.
• Review AI/robotic applications and assess their potential for worker support.
• Develop a transportable lab setting at TU/e to study decision making.
• Design a longitudinal field study on worker decisions and productivity.
• Analyze qualitative and quantitative data and publish findings.
• Publish scientific papers and contribute to a doctoral dissertation.

Skills

Interest in human-centered AI & robots

Empirical research experience

Independent and collaborative work

Proactive data collection

English proficiency (C1)

Dutch language useful

Teaching potential

Education

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

Job description

Eindhoven University of Technology (TU/e) is inviting applications for a PhD candidate to join the AUGMENT project in the Human Performance Management group. This role focuses on how workers shape AI and robotic systems to improve work life and performance.

You will conduct fieldwork, analyze data, and contribute to theory and practice across organizations, collaborating with international partners and supervisors. The position includes teaching tasks and substantial research time.