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The successful candidate will generate seasonal to monthly reconstructions of temperature and precipitation, providing essential climate context for regional case studies of plague and other epidemic diseases. This work will draw on historical records, archaeology, paleoecology, paleoclimatology, and human-supervised machine learning to uncover how environmental and societal factors jointly influenced past outbreaks, and how this knowledge can inform future pandemic preparedness. The candidate will also compare reconstructed climate fields with high-resolution paleoclimate simulations (from regional or Earth system models) to evaluate consistency, identify biases, and assess the robustness of regional climate signals.
Job Responsibility:
Collect and curate new documentary and natural proxy records
Generate high-resolution seasonal to monthly reconstructions of temperature and precipitation across Europe for the period 1300–1800 CE/last millennium
Apply advanced Climate Field Reconstruction methods coupled with AI/ML optimization algorithms, to extract and model climate signals from documentary and natural proxy records
Validate reconstructions against instrumental datasets, historical documents, and existing paleoclimatic benchmarks
Quantify reconstruction uncertainty and contribute to updating established multi-proxy climate reconstructions
Compare reconstructed climate fields with high-resolution paleoclimate simulations (e.g., RCM or ESM output) to assess consistency, biases, and regional signal robustness
Collaborate with interdisciplinary partners to integrate reconstructed climate data with epidemiological, ecological, and socio-historical datasets
Contribute to the development of causal models investigating the role of monthly and seasonal climate variability in shaping historical disease dynamics and human-environment interactions
Publish findings in high-impact peer-reviewed journals and contribute to EUROpest deliverables
Present research at international conferences and thematic workshops
Work closely with EUROpest Principal Investigators and institutional partners across Europe and the US
Contribute to an inclusive, collaborative research environment working with the other CMCC research divisions.
Requirements:
PhD in climate science, environmental science, Earth science, physics, historical climatology, applied statistics in the context of climatology or a related discipline
Demonstrated expertise in climate reconstruction techniques, including proxy data analysis and statistical modelling
Proficiency in programming, with experience applying machine learning or AI tools to environmental data
Familiarity with paleoclimatology, and paleoclimate archives, is an asset
Excellent written and oral communication skills in English
Proven ability to work both independently and as part of an interdisciplinary, international research team
Willingness to take responsibility and make a significant contribution to the joint project, take initiatives and contribute to the research and development of the group.
Nice to have:
Familiarity with paleoclimatology, and paleoclimate archives
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