Up to 4 Post-doctoral positions on computational economics/behavioural sciences/networks/decision theory
Up to 4 posts are available to advance the understanding of the socio-economics of climate change using innovative research methods from computational, behavioural and complexity sciences. The selected applicants will join new research teams led by Prof. Valentina Bosetti and Prof. Massimo Tavoni, at Bocconi University (Department of Economics) and Politecnico di Milano (Department of Management and Economics), respectively. These projects are funded by two independent grants awarded by the European Research Council (ERC), but share the common aim of advancing the understanding of individual and group behaviour in climate change mitigation, as well as developing a new class of integrated assessment models. The two Principal Investigators are keen on building on the momentum offered by these two large grants to create a new and stimulating research group. General information about the two ERC projects can be found here and here.
Researchers will be recruited to work on one of the following topics:
1. Modeling climate change decision making under uncertainty
2. Integrating uncertainty, risk biases and perception issues into climate change policy assessment
3. Social networks and complex dynamic systems
4. Behavioral climate economics
The selected applicants are expected to begin their assignment in Summer-Fall 2015 in Milan, Italy. Positions will last between 2 and 4 years, with yearly evaluations. Gross salary is negotiable and competitive with other research and academic institutions.
The candidates should have a Phd (or be close to completion) in either computational economics/science, behavioural economics, or complex systems/networks. More senior (e.g. assistant professor) or junior (e.g. Phd student) candidates can be considered for positions (3) and (4). Joint spouse applications are welcome (please specify).
How to apply
Applicants should send:
– Detailed curriculum
– Cover letter
Two letters of recommendation will be required for shortlisted candidates.