2026-27_2_184 - A post-doctoral researcher contract in climate science and machine learning (Canarias)

2026-27_2_184 - A post-doctoral researcher contract in climate science and machine learning (Canarias)

19 oct
|
Universitat de les Illes Balears
|
Canarias

19 oct

Universitat de les Illes Balears

Canarias

Organisation/Company Universitat de les Illes Balears Research Field Environmental science » Earth science Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 11 Nov 2026 - 23:55 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 11 Jan 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number PCI2026-177454-1 Is the Job related to staff position within a Research Infrastructure? No Offer Description Funding body: European Union Institution: Universitat de les Illes Balears (UIB) / University of the Balearic Islands (UIB) Are you passionate about climate science, oceanography and artificial intelligence? We are seeking a highly motivated post-doctoral researcher to join the UHEAT project at the University of the Balearic Islands (UIB) on the breathtaking island of Majorca. UHEAT is a joint European-Japanese research project looking into how ocean heat content influences marine heatwaves.



It aims to develop AI-based approaches for predicting marine heatwaves and their impacts on key fish species. The successful candidate will primarily work on developing a deep-learning system that combines ocean observations and climate data to predict marine heatwave probability. It is a fantastic opportunity to take part in cutting‑edge research with real‑world impact, contributing to our understanding of how the ocean is responding to climate change and helping address impacts on fisheries and society. Please visit the project website for more information: What you’ll be doing: * Assembling and analysing data from a large set of simulated general coupled climate models * Building a deep-learning model to predict the likelihood of marine heatwaves, integrating ocean heat content and transport, and sea surface temperature * Training and refining the prediction model using the large simulation set alongside observations

📌 2026-27_2_184 - A post-doctoral researcher contract in climate science and machine learning (Canarias)
🏢 Universitat de les Illes Balears
📍 Canarias

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