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PostDoc on human-robot collaboration at work

PostDoc on human-robot collaboration at work

(Postdoctoraal) onderzoeker
Industrial Engineering and Innovation Sciences


Are you interested in investigating how humans and robots can achieve optimal collaboration in the workplace? To understand when and why users are (un)willing and/or (un)able to adopt these systems in their work routines?

Come join our international and interdisciplinary team to research the future of human-robot collaboration.

The project
In many organizations and across industries, robots are transforming the way we work. Robots are implemented to assist employees, to decrease workload, or to increase efficiency. As their capabilities continuously improve, collaboration between humans and robotic systems becomes more common and interdependent. Consequently, the role of the robots changes, and humans and robots now work closer together than ever.

Workplace innovation advocates the joint optimization of the social and the technical system to yield optimal organizational outcomes. The EU-funded HORIZON Europe project Fluently aims at achieving true social collaboration between humans and robots while matching extremely dynamic manufacturing contexts. Robots will be equipped with a smart interface unit (called Fluently) through which they will be able to interpret the human operator’s current state, as well as speech content, speech tone and gestures. The human will also be equipped with a wearable which informs them about the robot’s state and actions. In order to learn from and build experience with each other and to develop a common work practice, human operators and robots will take part in a human-robot interactive training at a hub that will be especially designed for this purpose (the so-called Robo-Gym). Following the training, three full scale pilots of human-robot collaboration will be conducted in real-life manufacturing settings to validate this approach.

This PostDoc-project will focus on:
(1) Studying operator requirements for optimized design of the robotic system.
(2) Designing and evaluating the human operator part of the interactive training at the Robo-Gym, focusing on human operators’  learning experiences

Your role in this project
Within this project, you will:

  • further develop the project proposal based on academic literature and in collaboration with the Fluently consortium scientific and industry partners
  • design and execute experiments and/or empirical (field) studies
  • statistically analyze data obtained from experiments and/or empirical field studies and report on results
  • communicate practical implications of your research to specific stakeholders/the general public
  • present the findings of your research at (inter)national scientific conferences
  • conduct research at one of our collaborators’ universities abroad
  • publish papers in internationally renowned academic journals

The Human Performance Management (HPM) Group of the School of Industrial Engineering, is looking for a PostDoc on successful human-robot collaboration in dynamic manufacturing contexts (2-years; 1.0 FTE).

The School of Industrial Engineering is one of the longest-established IE Schools in Europe, with a strong presence in the international research- and education community, and an extensive network of industrial partners. Operations Management and Operations Research are at the core of the undergraduate IE program. The graduate programs (MSc and PhD) in Operations Management & Logistics and in Innovation Management attract top-level students from all over the world. Researchers participate in industrial activities with members of, amongst others, the European Supply Chain Forum.

Human Performance Management (HPM) at TU/e develops scientific knowledge and tests theories that uncover and explain (psychological) processes contributing to performance at the organizational, team, and individual level. By examining the ‘people factor’ in operational and innovation processes, HPM aims to ensure that employees can help in bringing organizational strategies to fruition in the most rewarding and efficient way possible.


  • Recently completed (or be close to completion of) PhD in Work & Organizational Psychology, Management Science, Cognitive Science, Industrial Engineering, Computer Science or related fields.
  • Demonstrable experience in conducting experimental and/or empirical research, including knowledge of and demonstrable experience with applying (state of the art) statistical techniques.
  • Demonstrable affinity with relevant topics, such as human-robot collaboration and/or robot (AI) implementation and adoption in the workplace is appreciated.
  • Good organizational skills and a proactive work orientation.
  • Excellent mastering of the English language and good communication and writing skills. Note that there is no Dutch language requirement.


A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

  • Full-time employment for 2 years.
  • Salary in accordance with the Collective Labour Agreement for Dutch Universities.
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs on general skills, didactics and topics related to research and valorization.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • Partially paid parental leave and an allowance for commuting, working from home and internet costs.
  • A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
  • A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.

Informatie en sollicitatie

About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Do you recognize yourself in this profile and would you like to know more? Please contact
prof dr. Pascale le Blanc (P.M.Le.Blanc[at] or dr. Anna-Sophie Ulfert-Blank (a.s.ulfert.blank[at]

More information about the HPM group can be found at, about the EAISI can be found at

Visit our website for more information about the application process or the conditions of employment. You can also contact Susan Opgenoorth, personnel officer (hrservices.ieis[at]

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

We invite you to submit a complete application using the apply-button. The application should include a:

  • Cover letter in which you describe your motivation and qualifications for the position.
  • Curriculum vitae, including a list of your publications and the contact information of three references.
  • List of five self-selected ‘best publications’.

We look forward to your application and will screen it as soon as we have received it.We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

We do not respond to applications that are sent to us in a different way.

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