Machine Learning for extreme drought detection and prediction (AI enhanced drought modelling) via EURAXESS

Politecnico di Milano

Milan, Italy 🇮🇹

Job Information

Organisation/Company: Politecnico di Milano

Research Field: Engineering

Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)

Country: Italy

Application Deadline: 18/01/2023 – 00:59 (UTC)

Type of Contract: To be defined

Job Status: Not Applicable

Is the job funded through the EU Research Framework Programme?: H2020

Is the Job related to staff position within a Research Infrastructure?: No

Offer Description

Extreme Climate Events (ECE) are expected to increase in both frequency and intensity in many regions of the world challenging the sustainable and efficient management of water resources systems. The research will develop Machine Learning tools for the detection of drought events, the identification of their drivers and their predictions over different lead times.

Requirements

Additional Information

Eligibility criteria

Relevance of qualifications with the research programme object of selection

Consistency of the candidate’s overall profile with respect to the content of the research programme for selection

Close relevance of publications submitted with the research programme object of selection

Eligible destination country/ies for fellows:

  • EUROPE

Eligibility of fellows: country/ies of residence:

  • All

Eligibility of fellows: nationality/ies:

  • All

Selection process

In order to participate in the selection, please read the call (“bando”) available at the following website: https://www.polimi.it/en/faculty-and-staff/calls-and-competitions/resea…Website for additional job details

https://www.polimi.it/docenti-e-staff/bandi-e-concorsi/bandi-per-assegni-di-ric…

Work Location(s)

Number of offers available: 1

Company/Institute: Politecnico di Milano

Country: Italy

Where to apply

Website: https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079

Contact

City: Milan


POSITION TYPE

ORGANIZATION TYPE

EXPERIENCE-LEVEL

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