{"id":3057,"date":"2024-04-09T10:52:21","date_gmt":"2024-04-09T08:52:21","guid":{"rendered":"https:\/\/sparccle.eu\/?p=3057"},"modified":"2024-04-11T09:19:08","modified_gmt":"2024-04-11T07:19:08","slug":"postdoc-position-unifi","status":"publish","type":"post","link":"https:\/\/sparccle.eu\/2024\/04\/09\/postdoc-position-unifi\/","title":{"rendered":"Postdoc position at UNIFI | Modelling extreme climate events"},"content":{"rendered":"[et_pb_section fb_built=”1″ _builder_version=”4.22.2″ _module_preset=”default” width=”100%” custom_padding=”0px||0px||false|false” da_disable_devices=”off|off|off” global_colors_info=”{}” da_is_popup=”off” da_exit_intent=”off” da_has_close=”on” da_alt_close=”off” da_dark_close=”off” da_not_modal=”on” da_is_singular=”off” da_with_loader=”off” da_has_shadow=”on”][et_pb_row module_class=”sparcclenews” _builder_version=”4.22.2″ _module_preset=”default” width=”100%” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.22.2″ _module_preset=”default” custom_padding=”0px|0px|0px|0px|false|false” global_colors_info=”{}”][et_pb_post_title author=”off” categories=”off” comments=”off” admin_label=”Posttitel” _builder_version=”4.22.1″ _module_preset=”default” title_level=”h2″ global_colors_info=”{}”][\/et_pb_post_title][et_pb_text _builder_version=”4.24.2″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]\n

Hosting department, institution:<\/strong> Department of Civil and Environmental Engineering of the University of Florence, Italy<\/p>\n

Level:<\/strong> postdoctoral researcher<\/p>\n

Duration:<\/strong> 24 months<\/p>\n

Job Description:<\/strong> The researcher will quantify the spatial and temporal variations of critical climate hazards, such as heatwaves, droughts, floods, and storms, as well as compound events. Hazard indicators will be derived for the whole globe from reanalysis data and climate projections under different warming levels. Advanced statistical techniques will be applied to assess the temporal evolution of intensity and frequency of extreme events under non-stationary conditions and linked with observed impacts on society and forest ecosystems. Outcomes of this activity will improve considerably the understanding of how extreme climate events are expected to evolve under different warming scenarios and will identify hotspot areas exposed to multiple climate hazards. The work will be conducted within the Horizon SPARCCLE project and the Horizon ECO2ADAPT project in a young and multi-disciplinary team with a wide network of international collaborations.<\/p>\n

Your profile:<\/strong><\/p>\n