Jobs:Job-00799

From CSDMS
Post-doc position @EILab Politecnico di Milano
Politecnico di Milano, , Italy
Apply before: 31 October 2022


The Environmental Intelligence Lab at Politecnico di Milano is looking for a new post-doc. Details below.


Best Regards, Andrea


POST-DOC POSITION ON ML FOR DROUGHTS

The Environmental Intelligence for Global Change Lab (https://www.ei.deib.polimi.it/) at Politecnico di Milano invites applications for one postdoctoral positions for a period of 12 + 12 months.

This post is part of the emerging interest in strengthening scientific knowledge on climate and environmental science by using Artificial Intelligence and Machine Learning tools for processing big observational/simulated datasets. The research will be part of the CLINT – Climate Intelligence Research Project (https://climateintelligence.eu/) and will focus on:

  • Developing AI and ML algorithms for supporting the detection and prediction of extreme droughts by mining spatial and temporal patterns and evolutions of climatological fields (e.g., temperature) associated the impacts of drought events.
  • Validating the detected teleconnections with data-driven causal inference methods.
  • Advancing existing drought management solutions by using the newly developed information about extreme drought occurrence.

Qualifications for this position include a Ph.D. in computer and/or automation engineering, artificial intelligence, applied mathematics or related fields. Alternatively, candidates having a background in water resources engineering, or a related field of environmental engineering also encouraged to apply. Strong numerical and computational skills are required as well as English language skills both in oral and written communication.

The application package must include CV, list of publications, and the name of two references. Deadline for the package submission: 31 October 2022.

For informal inquiries please contact Andrea Castelletti (andrea.castelletti@polimi.it); https://www.ei.deib.polimi.it/

Of interest for:
  • Hydrology Focus Research Group
  • Artificial Intelligence & Machine Learning Initiative