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Copenhagen, Copenhagen, Denmark Københavns Universitet Full timeAs a postdoctoral fellow, you will be part of a strong, highly collaborative, friendly, and enthusiastic research group with broad national and international scientific networks.Our group offers excellent research infrastructure and technical support, as well as highly relevant research at the crossroads between oncology, biophysics, and metabolism.You will...
Postdoctoral Researcher for Scientific Collaboration
1 week ago
We are looking for a highly motivated postdoctoral researcher to join our Science & Society research section at the Natural History Museum Denmark. This 3-year position will provide an opportunity to advance the field of Citizen Science and contribute to meaningful, impactful research that connects society and science.
The successful candidate will be responsible for engaging in cutting-edge research, developing and implementing innovative approaches to Citizen Science, and collaborating with partners inside and outside the museum. They will also be expected to lead the development of at least five papers for publication in international peer-reviewed journals, participate in collaborative projects with other lead authors, and contribute to grant-writing activities.
We aim to perform high-standard, internationally recognized research while fostering practical application and societal value. Our work involves close partnerships with natural history societies, educational partners, conservation practitioners, social scientists, and individuals conducting Citizen Science. We strive to maintain a supportive and inclusive group culture that emphasizes teamwork and collaboration, both within the University of Copenhagen and with our global network of partners.
To be successful in this role, the candidate will need to have a strong background in Citizen Science or other Participatory Sciences, excellent communication skills, and the ability to work effectively in teams. They will also need to have a good understanding of natural history and experience in statistical analysis, including Mixed-Effects models and/or time series data.
