Offer Description
Global socio-economic and climate trends are aggravating the stress on water resources systems. The research will focus on harnessing recent advances in Reinforcement Learning to design adaptive control policies for multipurpose water reservoirs that maximize the potential of hydroclimatic forecasts. The developed methodologies will be demonstrated across different case studies as part of the BERLIN project.
Where to apply
Website: https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079
Requirements
Additional Information
Eligibility criteria
quality, originality, and innovation of the research proposal, with reference to the research program covered by this selection (up to 20 points)
relevance and significance of previous research activities and professional experience in relation to the research program (up to 20 points)
relevance of submitted publications with respect to the research program (up to 20 points)
interview, aimed at assessing the candidate’s research aptitude, their ability to implement the proposed project, and their knowledge of English and/or other relevant languages for the research (up to 40 points)
Eligible destination country/ies for fellows:
- EUROPE
Eligibility of fellows: country/ies of residence:
- All
Eligibility of fellows: nationality/ies:
- All
Selection process
In order to participate in the selection, please read the call (“bando”) available at the following website:Â https://www.polimi.it/en/bandi-per-contratti-di-ricerca
Website for additional job details: https://www.polimi.it/en/bandi-per-contratti-di-ricerca
