Mathematical Models in Environmental Economics and Finance through Optimal Control, Differential Games, Reinforcement Learning

Position: Post-doctoral research contract Institute: LUISS G. Carli
Posted on: 13/06/2026 Deadline: 15/07/2026

Scientific-Disciplinary Group

13/STAT-04 - Mathematical Methods For Economy, Finance And Actuarial Sciences

Description

The impact of the human species on the environment is causing macrophenomena such as climate change, loss of biodiversity, and pandemics, which represent big risks for the future.The above phenomena are influenced by Economic Decision Making at all levels (families, cities, countries, international agreements, etc.). These relations are complex and difficult to disentangle.The goal of this interdisciplinary project is to develop, simulate and estimate a class of mathematicalmodels that can help to shed light on the mechanisms of such relations and provide support to policy makers. To be more precise, the project will mainly focus on the use, in such models, of tools from Stochastic Optimal Control, Reinforcement Learning, and Differential Games (including Mean-Field Games).

Compensation

28,456 Euro

Number of positions

1

Maximum duration

24.0

Funding body

Luiss Guido Carli