The Division for Climate and Energy Policy at DTU Management offers one Postdoc position for a two-year period in the Climate Economics and Risk Management section. The position is part of the MAAT project (Maximising well-being with AI under deep climate turmoil).
The Lancet Commission on climate change and human health has identified the impact of climate change as the largest threat to public health in the 21st Century. The disruption to everyday practices and routine, such as commuting caused by the increasing number of climate hazards, is a key pathway in which climate change will impact human wellbeing. To ensure the health and wellbeing of the population, future adaptation measures must account for the multiple pathways in which climate change can impact human health and wellbeing.
A proof of concept, MAAT will use reinforcement learning (RL) together with a digital twin that simulates mobility and climate events, to search for the best adaptation strategies to help cities understand and prepare for the health and wellbeing challenges that will arise due to climate change. The role of the post-doc will be to understand and measure the impact of climate change and climate change adaptation measures on health and wellbeing in the medium to long term through changes in transportation capacity and mobility patterns in the Copenhagen transport system using an agent-based modelling framework.
You will work under the supervision of Professor Karyn Morrissey (Climate Economics and Risk Management) and Professor Francisco Pereira (Intelligent Transport Systems) both of whom are based in Department of Technology, Management and Economics (DTU Management).
Responsibilities and qualifications
Your overall focus will be to strengthen the department’s competences modelling the societal impact of climate change, specifically the health and wellbeing impact of climate change induced flooding.
Your primary tasks will be to:
- Based on existing agent-based modelling tools formulate a health impact model to measure the impact of changes in the capacity of the transport system due increased flooding on population health and wellbeing within the Copenhagen region over time
- Work with the wider team to extend a transport model (likely SimMobility) to meet the needs of the health impact model
- Work with the wider team to help formalize possible climate change adaption scenarios that maximise health and wellbeing from a policy perspective
- Co-advise students involved in the project, regularly meet with PIs, and disseminate new findings in journals/conferences.
As a formal qualification, you must hold a PhD degree (or equivalent) preferably in a Quantitative Social Science field (for example Economics, Public Health/Epidemiology, Sociology, Urban Planning, Psychology, Social Geography) or Applied Statistics or a related discipline.
We are looking for an ambitious, self-organized individual with strong project management and communication skills. Applicants should have experience in some of the following areas: health impact assessment, simulation, agent-based modelling, statistics, and data analysis. Programming skills in Python, R or similar and proficient English language skills are also required.
Further information
Further information about the position may be obtained from Professor Karyn Morrissey ([email protected]), Climate Economics and Risk Management, Division of Climate and Energy Policy.
Application procedure
To apply, please read the full job advertisement, by clicking the ‘Apply’ button
Read more about DTU at www.dtu.dk/english.