Postdoc in energy technology and policy
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About the role
At the Division of Physical Resource Theory, we study how societies can transition towards sustainability. Building on physics and systems analysis, our interdisciplinary research connects technical and social sciences to address challenges such as climate change, energy transitions and sustainable land use. The position(s) will be based in the Energy Technology and Policy group which develops methods to evaluate the realism of energy and climate futures. About the research project The Energy Technology and Policy group (http://www.entap.net/) is recruiting up to 2 postdoctoral researchers on technology foresight for policy-driven low-carbon technologies. The postdoctoral position will focus on developing data-driven approaches for probabilistic modelling of new technologies, both established technologies like solar and wind as well as emerging technologies like hydrogen. The positions will be linked to a number of national projects and embedded in the ENTAP group, with a strong international network and tradition of interdisciplinary collaboration through shared work spaces and a joint seminars. Who we are looking for The following requirements are mandatory: To qualify as a postdoc, you must have a doctoral degree or an equivalent foreign degree in energy studies, environmental science, complex systems studies, economics, public policy, political science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python) Strong written and verbal communication skills in English You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experience will strengthen your application: Experience in developing technology foresight models Experience in policy analysis Experience in publishing in high impact journals is preferred
Responsibilities
- Develop and apply probabilistic foresight models for policy-driven technologies and explore the meaning of uncertainty in such projections.
- Analyse the extent to which policy interventions can accelerate technological change.
- The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to up to 20 percent of working hours
- Contract terms
- The position is a temporary full-time employment for two years with the possibility of a one-year extension.
- The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn.
Benefits
Additional Information
How fast can new climate technologies grow and what can policy realistically do to accelerate them? Join the Energy Technology and Policy group at Chalmers as a postdoctoral researcher and help develop the data-driven foresight methods to find out.
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Company Intel
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