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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via

Job advertisement Postdoc position in machine learning for droughts

EGU logo

European Geosciences Union

Postdoc position in machine learning for droughts

Postdoc position in machine learning for droughts

Politecnico di Milano logo

Politecnico di Milano


Milano, Italy


Relevant divisions
Climate: Past, Present & Future (CL)
Hydrological Sciences (HS)
Nonlinear Processes in Geosciences (NP)

Full time

Entry level


Required education

Application deadline
31 October 2022

23 September 2022

Job description

The Environmental Intelligence for Global Change Lab at Politecnico di Milano invites applications for one postdoctoral position 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 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 with 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 are also encouraged to apply. Strong numerical and computational skills are required as well as English language skills both in oral and written communication.

How to apply

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