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Elizabeth Carter

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Postdoctoral Researcher in Hydrologic Data Assimilation, Water, Energy, and Environmental Engineering University of Oulu in Finland

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Mar 31, 2026

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Country

Finland

University

University of Oulu

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Where to contact

Official Email

Keywords

Computer Science
Geology
Environmental Science
Remote Sensing
Mathematics
Data Fusion
Geography
Hydrology
Artificial Intelligence
Civil Engineering
Earth Science
Python Programming
Automation
Digital Twin Technology
Irrigation Engineering
Big Data
Statistics
Machine learning

About this position

The University of Oulu, a leading multidisciplinary research institution in Finland, is seeking a Postdoctoral Researcher in Hydrologic Data Assimilation within the Faculty of Water, Energy, and Environmental Engineering (WE3). The position is embedded in the Digital Waters (DIWA) Flagship research area, which focuses on innovative digital solutions for water management, environmental monitoring, and hydrological modelling. The research unit comprises over 120 members across five groups, with expertise spanning hydrological modelling, cold climate hydrology, groundwater research, water quality, and water management. The DIWA Flagship connects experts in ICT technologies and digital applications for water, land, and environmental systems, offering a unique infrastructure and international collaboration opportunities.

The successful candidate will contribute to the development of a digital twin platform for water management systems, integrating monitoring, modelling, and data management. Responsibilities include advancing data assimilation methods, combining process-based models with AI and machine learning, and developing scalable, operational systems for environmental forecasting. The role involves collaboration with international and national research partners, project management, and optional teaching and supervision of graduate students. The research aims to create models for detection, prediction, prescription, and proactive maintenance, and to expand digital twin services for technical pilots and what-if analyses.

Applicants must hold a doctoral degree in geosciences, earth science, engineering, or a related field, completed within the last 10 years and by the application deadline. Essential skills include independent scientific work, teaching ability, proficiency in scientific programming (Python), big data management, OGC standards, algorithm development, and fluency in English. Experience with high-performance computing, parallel and distributed systems, large dataset handling, data integration, operational scientific software, version control, workflow automation, containerization, testing, continuous integration, and deployment in HPC/cloud environments is highly valued. International experience and networking skills are also appreciated.

The position is fixed-term for three years, starting May 2026 or as soon as possible thereafter. The starting gross salary ranges from 3800 to 4300 € per month, with additional wellness benefits, a Buddy Programme, Spouse Network, and HR Excellence in Research label. The University of Oulu offers a supportive and flexible work environment, professional development opportunities, and access to a vibrant research community. Finland is renowned for its high quality of life, safety, excellent education system, and competitive economy.

To apply, submit your application online by March 31, 2026, including a CV, motivation letter, and list of publications. Eligible candidates will be invited to an interview, and all applicants will be notified during the selection process. For further information, contact Dr. Elizabeth Carter ([email protected]) or Professor Bjørn Kløve ([email protected]). The University of Oulu welcomes applicants from diverse backgrounds and encourages inclusivity in its academic community.

Funding details

Available

What's required

Applicants must hold a doctoral degree in geosciences, earth science, engineering, or a closely related field, completed no more than 10 years ago and by the application deadline. Required skills include independent scientific work, teaching skills, strong experience in modelling, programming (Python), APIs, big data management, OGC practices and standards, algorithm development for data analysis, modelling, and forecasting, and fluency in English (oral and written). Experience in scientific writing and communication is essential. Preferred qualifications include experience with high-performance computing (HPC), parallel and distributed systems, handling large datasets, data integration techniques, operational scientific software development, version control (Git), workflow automation, containerization (Docker, Singularity), testing, continuous integration, deployment in HPC/cloud environments, and international networking.

How to apply

Apply online through the University of Oulu recruitment system by March 31, 2026. Submit your application in English, including CV, motivation letter, and list of publications. Eligible applicants will be invited to an interview. All applicants will be notified during the selection process.

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