Postdoc in Earth System Models emulation with machine learning – DTU Aqua

Job title:

Postdoc in Earth System Models emulation with machine learning – DTU Aqua

Company:

Danmarks Tekniske Universitet

Job description

Job Category: VIP BJob Description:If you are passionate about data analytics, numerical modelling and marine research, we have an opportunity for you!DTU Aqua invites applications for a two-year postdoctoral position to develop and apply emulators for Earth System Models (ESMs), with a particular focus on the role of the biological carbon pump in oceanic carbon cycling and climate feedbacks. The research will integrate machine learning algorithms and Earth System Models to emulate carbon processes in the ocean connected to the biological activities.You will be enrolled in DTU’s Section for Oceans and Arctic and be part of the Ocean Observation research area as well as of a larger interdisciplinary effort to improve the representation of biogeochemical processes in climate projections.The position is connected to the EU project OceanICU and the candidate is expected to participate in this research activity.Responsibilities and qualifications
The successful candidate will work on developing machine-learning-based or statistical emulators to approximate key outputs of complex Earth System Models, with the aim of enabling efficient uncertainty quantification, sensitivity analysis, and data integration.A central focus will be the representation of the biological carbon pump and its influence on ocean-atmosphere carbon exchange across temporal and spatial scales.Key tasks include:

• Designing and training surrogate models (emulators) for biogeochemical modules within ESMs
• Quantifying the response of the biological carbon pump to changing environmental drivers
• Integrating observational datasets (e.g., satellite data, in situ measurements) with model output
• Collaborating with climate scientists, oceanographers, and data scientists within national and international consortia
• Publishing research in peer-reviewed journals and presenting at international conferences

We are looking for a candidate with:

• A PhD in oceanography, climate science, applied mathematics, computational science, or a related field
• Experience with Earth System or biogeochemical modelling
• Strong programming skills (e.g., Python, R, MATLAB) and experience with advanced machine learning modelling
• A strong interest in interdisciplinary collaboration and addressing complex Earth system questions

Excellent communication skills in English, both written and spoken.As a formal qualification, you must hold a PhD degree (or equivalent).We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.The period of employment is 2 years.You can read more about .Further information
Further information may be obtained from Prof. Patrizio Mariani on mail: .You can read more about DTU Aqua atIf you are applying from abroad, you may find useful information on working in Denmark and at DTU at .Application procedure
Your complete online application must be submitted no later than 15 July 2025 (23:59 Danish time).Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply now”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications
• 2 page proposal for a project description

Applications received after the deadline will not be considered.All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.About DTU Aqua
DTU Aqua – National Institute of Aquatic Resources – works for well-functioning oceans, rivers, and lakes where biodiversity can thrive. Our research, advisory service, and education contribute to the development of a sustainable blue bioeconomy, robust aquatic ecosystems, and reduced effects of climate change. We have a large national and international network and cooperate with research partners, public authorities, industry, and NGOs. We have state-of-the-art research facilities and Denmark’s only ocean- and arctic-going research vessel. The Institute has 360 employees, one-half being scientific staff, including about 50 PhD students. More than 35 nationalities are represented at the Institute, and we support an equal gender distribution. We are located in Lyngby, Hirtshals, Nykøbing Mors, and Silkeborg and have regular activities in Greenland. Learn more at aqua.dtu.dkTechnology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

Expected salary

Location

Kongens Lyngby, Hovedstaden – Lyngby, Midtjylland

Job date

Sat, 10 May 2025 06:30:57 GMT

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