The renewable energy sector is strongly tied with climate since the availability of renewable sources, like hydro, solar and wind power, very much depend on rain, radiation, and wind patterns. This research topic aims to determine the impact of climate change on the renewable energy sector over the Italian peninsula. Climate variables will be extracted from observational and reanalysis dataset, like RCMs from the CORDEX dataset and CPMs from the CORDEX-FPS CONV initiative, for the historical, near and future climate. The analysis of climate data will provide an assessment of the changes expected to impact the energy sector. Climate analysis will be then integrated into energy system models developed and used within the A2A group. In particular, the results of climate analysis will the basis of the estimation of the electricity production from renewable sources over the Italian territory in the long-term horizon. The main goal will be to identify potential trends of producibility in a spatial-temporal framework and, subsequently, to estimate the tendency of generation volumes of existing and future renewable plants in Italy. The probability of extreme climate events that may statistically limit the producibility of the renewable power assets will also be analyzed. In addition, a geographical analysis aimed to identify and categorize the investment attractiveness of Italian regions/areas may be conducted.

Preferred qualifications include- Masters degree in Psychology or Economics- Previous experience with design and/or performance of studies in cognitive psychology and/or cognitive neuroscience- Previous experience with the fields of behavioural economics and/or psychology of decision-making- Familiarity with psychological experiment software (e.G. Presentation, E-Prime, etc.)- Strong motivation towards research in challenging environmentsGood capability to work in a team and interest for multidisciplinary research are essential, along with a good knowledge of English language, both spoken and written.

This project will benefit from the recently-developed IUSS-Maugeri Cognitive Neuroscience Laboratory, that takes a multidisciplinary approach to investigate the neural bases of healthy or pathological human behavior with several research techniques applied to different populations. The lab is equipped with most of the techniques that are used in cognitive psychology and cognitive neuroscience to investigate cognitive functioning and its neurophysiological bases, including neuroimaging, non-invasive brain stimulation, eye-tracking, and immersive virtual reality. The Lab is run by researchers based at the IUSS School (Nicola Canessa, Giulia Mattavelli) in collaboration with external researchers. The members of the laboratory, and their collaborators, are specialized in all phases of research in cognitive and clinical neuroscience, from the definition of the experimental design to the collection and analysis of data.Selected examples of the activities performed at the Cognitive Neuroscience Laboratory in the field of Neuroeconomics:Altered striatal-opercular intrinsic connectivity reflects decreased aversion to losses in alcohol use disorder. Doi.Org/10.1016/j.Neuropsychologia.2022.108258High-definition transcranial direct current stimulation of the dorsal anterior cingulate cortex modulates decision-making and executive control. Doi.Org/10.1007/s00429-022-02456-3Risk perception and behaviour during the COVID-19 pandemic: Predicting variables of compliance with lockdown measures. Doi:10.1371/journal.Pone.0262319 Increased decision latency in alcohol use disorder reflects altered resting-state synchrony in the anterior salience network. Doi: 10.1038/s41598-021-99211-1.Psychological precursors of individual differences in COVID-19 lockdown adherence: Moderated-moderation by personality and moral cognition measures. Https://doi.Org/10.1016/j.Paid.2021.111090, November 1 2021Posterior fronto-medial atrophy reflects decreased loss aversion, but not executive impairment, in alcohol use disorder. Doi: 10.1111/adb.13088.