At the Technical Faculty of IT and Design, Department of Sustainability and Planning (PLAN), a Postdoc position in Satellite Data Processing and Machine/Deep Learning is open for appointment from 01.01.2026 or soon hereafter in Aalborg. The position is available for a period of 12 months with the possibility of extension. PLAN conducts research and teaching on development and planning in a broad sense, including social science aspects as well as more technical aspects of development, and with a focus on environmental, international as well as administrative dimensions.

Job description:
Background. Managing global water resources is one of the most pressing challenges of our time, especially under the growing pressures of climate change and human activity. Global hydrological models are vital tools, but they often fall short due to data limitations and model simplifications. Recent breakthroughs in data assimilation (DA) and machine/deep learning (ML/DL) are changing the game. With new satellite missions like SWOT and upcoming Sentinel-6A/6B, we now have unprecedented access to global water observations. The challenge of turning these data into actionable insights will be addressed in the proposed Postdoc project.

The topic of this Postdoc position is the development of data-driven methods to estimate river streamflow using satellite altimetry. Particularly, the Postdoc will explore hybrid deep learning models that integrate river network information, creating a hydraulically informed AI approach that pushes the boundaries of streamflow estimation.

Qualification Requirements:
Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.

Profile: The ideal candidate has

• A PhD degree in Geodesy, Hydrology, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering, or a comparable discipline
• Profound skills in numerical modelling and programming are essential
• Experience with satellite altimetry data processing is required
• Experience with machine learning and/or deep learning is desirable, preferrable in the context of Earth System sciences
• Experience with hydrological and/or land surface models is an advantage
• Strong interest in collaborative work
• Passionate to present the results in highly ranked peer reviewed scientific journals and at international conferences
• Good English skills (oral and written) are required

We offer:

• International, interdisciplinary working environment
• In-house modelling, data processing and data assimilation expertise, software, and High Performance Computation (HPC) infrastructure
• Excellent scientific infrastructure
• Participation in international conferences
• Support for developing job skills and improving your CV
• Flexible working hours and various opportunities to reconcile work and family life

Qualification requirements
Appointment as postdoc requires academic qualifications at PhD level.

How to apply
Your application must include the following:

• Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions for the position
• Curriculum Vitae (CV)
• Diplomas (master's degree diploma and PhD diploma)
• List of publications, with an indication of the attached publications that you wish to be taken into account in the assessment. You may attach a maximum of ten publications. If you are applying for a position at The Faculty of Social Sciences and Humanities (SSH), you must submit a co-author statement, see template for co-author statement
• Documentation of teaching qualifications. Depending on which faculty you are applying for employment, please see guidelines for teaching portfolio at The Technical Faculty of IT and Design, The Faculty of Engineering and Science and The Faculty of Medicine or guidelines for teaching portfolio at The Faculty of Social Sciences and Humanities. If this is not enclosed, the applicant must enclose the reasons for this .
• Dissemination qualifications, including participation on committees or boards, participation in organisations etc.
• Additional qualifications in relation to the position
• References/recommendations

You can read more about the requirements for your application here.

The application must be submitted via Aalborg University’s recruitment system, which can be accessed under the job advertisement on Aalborg University's website.

Aalborg University wants to reflect the surrounding society and has diversity as a core value. Therefore, everyone, regardless of personal background and orientation, is encouraged to apply for the position.

Do you have any questions?
If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost.

Further information
Read more about our recruitment process here

The appointment process at Aalborg University involves a shortlisting process. You can read more about the shortlisting and appointment process here.

The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace.

Salary and terms of employment
The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities (in Danish) and protocol on certain terms of employment of academic staff at universities (in Danish).

Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) (only in Danish) and protocol on certain terms of employment of academic staff at universities (only in Danish).

Aalborg University - Knowledge for the world
Aalborg University is an international workplace with more than 3,700 employees. We offer real-world-oriented education and create world-class research results through collaboration between researchers, students, and public and private companies. This is how we achieve insights, new solutions to societal problems, and knowledge that changes the world. Our main campus is in Aalborg, but we also have campuses in Esbjerg and Copenhagen.

Contacts

• Maike Schumacher: +4599408363, maikes@plan.aau.dk
• HR Support: 99403031, HR-support@adm.aau.dk

Ref. nummer

2025/629

Ansøgningsfrist

15.11.2025