Doctoral Fellow in Human-Robot Teamwork and Organizational Well-being
Conduct a four-year PhD research project at Ghent University exploring daily human-robot collaboration, worker well-being, and performance.
Best for:Best for master's graduates in management, organizational psychology, or related fields with strong quantitative and qualitative research skills.
Overview
Ghent University invites applications for a fully funded, four-year doctoral fellow position within the Department of Marketing, Innovation and Organisation. Working under the supervision of Professor Gosia Kozusznik and Professor Greet Van Hoye, the successful candidate will investigate how human-robot teamwork is experienced in everyday work settings and identify the conditions that foster worker well-being and performance. The role combines quantitative and qualitative research methodologies, such as experiments, questionnaires, interviews, and literature reviews, to address the psychosocial challenges introduced by cobots in Industry 5.0. In addition to completing a doctoral dissertation consisting of publishable academic articles, the candidate will engage with external industry experts, present findings at international conferences, and provide limited teaching support.
What you'll do
- Execute the proposed four-year research project focusing on daily human-robot teamwork experiences and organizational outcomes.
- Write a doctoral dissertation composed of academic articles targeted at international peer-reviewed journals.
- Disseminate research results by presenting at international scientific conferences.
- Engage with external experts and organizations to discuss insights, collect empirical data, and translate findings into practical workplace advice.
- Provide limited teaching support, including supervising Master's thesis students working on related topics.
Requirements
Degree required: Master's degree relevant to the research project, including a research-based Master's thesis
Degree offered: PhD
Language: English and Dutch proficiency required; surveys and communications will use both languages, while academic writing will primarily be in English.
Instruction: English and Dutch
- Solid academic background demonstrated by study results, thesis quality, or prior publications
- Good methodological and statistical analytical skills with experience using SPSS or R
- Ability to work independently and take initiative in research tasks
- Strong organizational, planning, and time-management capabilities to meet short- and long-term deadlines
- Resilience and stress management in coping with academic setbacks
- Must hold a relevant Master's degree prior to the appointment start date
- For diplomas awarded outside the European Union, a NARIC certificate of equivalence must be submitted
Funding & terms
How to apply
Deadline: 2026-11-18
Prepare your application materials as a single consolidated PDF document. Email the complete application directly to Professor Gosia Kozusznik by the specified deadline. Shortlisted candidates will be notified for on-site interviews taking place in December 2026.
- Motivation letter
- CV
- Diploma copy
- Grade lists for each year of study
- English summary of Master's thesis
- Two reference contacts
Contact
Gosia Kozusznik· Professor
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.