Applicants are invited for a 3-year position as a postdoctoral researcher in applied philosophy on the topic of biodiversity modeling and governance, under the interdisciplinary Convergence Environment BioM at the University of Oslo (UiO).
Employment is scheduled to start in September 2026.
The BioM Convergence Environment – Methods for knowledge-based biodiversity monitoring and management under uncertainty – is an interdisciplinary Convergence Environment under UiO:Life Science, based at the Natural History Museum, and in collaboration with the Department of Mathematics, the Department of Biosciences and the Department of Philosophy, Classics, History of Art and Ideas. From Jan 1st 2026, UiO:Life Science is part of the Centre for Global Sustainability.
To respond effectively to the accelerating biodiversity crisis, society urgently needs decision-making systems that are scientifically robust, transparent about uncertainty, and responsive to ecological, ethical, and policy contexts. BioM will unite ecology, statistics, and philosophy to improve the modeling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and account for uncertainty in ways that are relevant to real-world management. At the same time, it addresses how models are used in practice – clarifying the assumptions they carry, how they influence decisions, and how they can be improved to better align with societal goals. This includes philosophical analysis of how evidence is constructed, how ethical trade-offs are handled, and how scientific advice is legitimized in policy.
BioM is committed to creating a high-quality, supportive environment for the training and development of PhD candidates and postdoctoral fellows, including individually tailored career development plans with formal supervision and project-based learning tied to deliverables. Secondments, consortium meetings, and workshops will provide hands-on experience in collaborative modeling, scientific synthesis, and science-policy engagement – central to navigate the area of applied philosophy and transdisciplinary research more broadly.
Tagged as: Life Sciences
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