2026-27_2_184 - A Post-Doctoral Researcher Contract In Climate Science And Machine Learning (Madrid)

2026-27_2_184 - A Post-Doctoral Researcher Contract In Climate Science And Machine Learning (Madrid)

20 oct
|
Universitat de les Illes Balears
|
Madrid

20 oct

Universitat de les Illes Balears

Madrid

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? NoOffer DescriptionFunding body:European UnionInstitution: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 modelsBuilding a deep-learning model to predict the likelihood of marine heatwaves, integrating ocean heat content and transport,



and sea surface temperatureTraining and refining the prediction model using the large simulation set alongside observationsPublishing your research in leading international journals and presenting your findings at conferencesWhy you should join us:You will be part of a highly interdisciplinary international project combining physical oceanography, climate science, artificial intelligence and fisheries scienceYou will be working in a vibrant research setting at the UIB with close ties to IMEDEA and international partners in Germany and JapanYou will get the chance to visit research partners in Japan and Germany for project meetings, collaboration and knowledge exchange, and build an international research networkYou will enhance your expertise in AI and climate prediction whilst addressing an important challenge linked to climate change and its impacts on marine ecosystems and fisheriesA PhD in Ocean Science, Physics, Mathematics or a related field by the contract start date.Specific RequirementsResearch: a solid ability to conduct and organise scientific researchProgramming: familiarity with scientific programming and data analysis (e.G. Python, Matlab or similar)Data analysis: experience handling and analysing large or complex scientific datasetsWriting: an ability to communicate research findings clearlyCommunication: confidence discussing ideas and sharing results with others.LANGUAGE REQUIREMENTS:English skills would be a plus.Preferred experience:Working with climate or oceanographic data, such as observations, reanalysis products or outputs from global coupled climate modelsSpatiotemporal data analysis or spatial statisticsFamiliarity with machine learning or deep learning methodsAn interest in ocean and climate dynamics.Years of Research Experience 1 - 4Additional InformationGross monthly salary:



3,000.00 €National Social Security Insurance (Public Health Insurance)Planned end date of the tasks subject to the contract:Wednesday, January 10, 2029Compensation may be higher where the successful candidate accredits recognised professional experience.Eligibility criteriaCurricular merits in the field (max. 40 points).Qualifications in the specialist area (max. 20 points), other (max. 5 points).Video curriculum and, if applicable, personal interview (max. 20 points).Experience in the field (max. 15 points). E.G.: > 3 years (10 points),Other merits (max. +5 points). E.G.: recommendation letters.Eligibility threshold: 60 points.Candidates who hold the qualification corresponding to the required category in the job offer with a non‑EU degree, if selected, must present a certificate of equivalence of their non‑EU qualification to a European qualification, or proof of having applied for this equivalence, in order to proceed with their hiring.Selection processIn accordance with article 8 of the REGULATORY AGREEMENT 145140 of 15th June 2022 that approves the regulation governing the recruitment of research staff under chapter 6 allocation of the university budget, as well as technical or operational research staff.i. The relevant Pro-Vice-Chancellor for Research (or person s/he delegates), as chair.ii. The supervisor (or person s/he delegates).iii. The members of the Research Area Assessment Committee (CARAI).iv. One or more expert members in the topic pertaining to the recruitment and chosen by the chair of the committee, where applicable.v. The head of FORHU (or delegated representative), acting as secretary, who may speak but not vote.Additional commentsAlthough we believe on‑site working is valuable for both candidates and the organisation, we are happy to discuss flexible arrangements, including partial WFH.Work Location(s)Number of offers available 1 Company/Institute Universitat de les Illes Balears / University of the Balearic Islands Country Spain Geofield#J-18808-Ljbffr

📌 2026-27_2_184 - A Post-Doctoral Researcher Contract In Climate Science And Machine Learning (Madrid)
🏢 Universitat de les Illes Balears
📍 Madrid

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