Postdoc on Inter-Organizational Learning and Knowledge Sharing

Are you passionate about improving collaboration, learning, and innovation among organizations to tackle grand challenges through cutting-edge research? Are you a dedicated researcher in the field of business or organizational psychology with expertise in advanced methods and statistical techniques (e.g., longitudinal data, multilevel analyses)? Are you looking for an independent and challenging role? Join our dynamic team as a post-doc researcher and contribute to the Learning Communities project!

The project
The world of work is rapidly changing. Digital and technological developments (e.g., Artificial Intelligence) are changing the nature of work and the way we do our day-to-day jobs. To be able to adapt to these changes, it is critical for organizations that their employees continue to learn new knowledge, skills, and abilities (KSAs). Single organizations, especially smaller ones, struggle to keep up with new technologies and increasingly rely on complex inter-organizational activities, collaboration, and knowledge sharing to learn and adapt. Learning communities may enable such continued learning of employees in organizations. In learning communities, employees interact on an ongoing basis with professionals from other organizations, which triggers them to learn new ways of working and to develop relevant KSAs. This project seeks to understand how knowledge exchange within the learning communities can be optimized. That is, to understand whether, when and why learning communities work. In the past 3 years, we have already collected longitudinal multilevel data in multiple learning communities. We seek a postdoc with advanced methods/statistics expertise and excellent writing skills to work with this data and write scientific articles.

What are you going to do
The Post-doc vacancy consists of a package of research tasks (100%). More specifically, you will…

• analyze longitudinal multilevel data, build new theory, and conduct and publish high quality research in collaboration with our project team members;
• conduct a systematic literature review identifying key building blocks of inter-organizational learning.
• develop tools to provide actionable feedback and insights to organizations participating in learning communities to enhance knowledge exchange and improve their functioning of learning communities.

What do you have to offer
You are an independent and quantitatively oriented researcher with a strong interest in applying organizational psychological insights to societally relevant topics. You are proficient in advanced statistics and methodologies and excited about the challenge of investigating the working mechanisms of learning communities. You like to work in multidisciplinary contexts involving people from academic and non-academic backgrounds. You are driven towards scientific impact and enjoy writing scientific papers and are successful in publishing. Your experience and profile:

• a PhD, obtained or close to obtaining, in Business Administration, (subdisciplines of) Psychology, Organizational Studies, or a related field;
• proven expertise on advanced methodological and statistical techniques (e.g., longitudinal data, multilevel analyses);
• strong skills in programming and statistics (e.g., R, Mplus, etc);
• expertise and/or affinity with interdisciplinary research, and excitement for bridging work and organizational psychology with adjacent research areas;
• an open, constructive, and transparent communication style, and strong motivation to collaborate with other researchers;
• excellent oral and written communication skills in English;
• experience with publishing in international top journals;
• willingness and ability to learn and grow in all areas of research.

What else can we offer you
The position concerns (temporary) employment of 34.2 hours per week (.9 fte) for a maximum term of 1.5 years (until October 31 2026). The initial employment is for one year, which will be extended with another 6 months (maximum) following a positive assessment and barring altered circumstances. For this position the University Job Classification profile Researcher 3 applies.

We also offer...

• a position in which initiative and input are highly valued
• an enthusiastic and warm team that is open to new colleagues
• an inspiring academic and international working environment in the heart of Amsterdam.
• a project in which you will collaborate with colleagues from psychology as well as other disciplines.
• an opportunity to expand your methodological skill set.
• a challenging and collegial work environment with a variety of duties and sufficient scope for individual initiative and development within an inspiring, internationally oriented organization that cherishes diversity, enquiring minds and persevering spirits.

About us
The University of Amsterdam is the largest university in the Netherlands, with the broadest spectrum of degree programmes. It is an intellectual hub with 39,000 students, 6,000 employees and 3,000 doctoral students who are all committed to a culture of inquiring minds.

A challenging work environment with a variety of duties and ample scope for individual initiative and development within an inspiring organization. The social and behavioral sciences play a leading role in addressing the major societal challenges faced by the world, the Netherlands and Amsterdam, now and in the future.

Do you have any questions or do you require additional information? Please contact:

• Dr. Matthijs Baas, Associate Professor in Work and Organizational Psychology M.Baas@uva.nl

Do you recognize yourself in the job profile? Then we look forward to receiving your application/motivation letter and resume in one .pdf by March 27 2025.

Applications in one bundled .pdf should include:

• a curriculum vitae;
• a letter of motivation explaining how your interests, skills, and accomplishments align with this position;
• two recent papers (published or working papers).

The next step in the process consists of a presentation and an interview with the selection committee. Interviews will take place early-mid April 2025.

34.2 hours per week

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