About this role
Lund University was founded in 1666 and is consistently ranked among the world's leading institutions of higher education. It has approximately 47,000 students and more than 8,800 employees in Lund, Helsingborg, and Malmö. We are united in our pursuit to understand, explain, and improve our world and the conditions of humanity.
Lund University welcomes applicants from diverse backgrounds and experiences. Gender equality, equal opportunities, and diversity are fundamental principles in all aspects of our operations.
**Description of the Workplace**
The position will be based at the Department of Water Resources Engineering, within the Faculty of Engineering (LTH).
Research and teaching are conducted here with the aim of understanding water availability and transport processes in nature and urban systems from an engineering perspective. This includes, but is not limited to, understanding and modeling the components of the hydrological cycle, as well as geospatial modeling of water quality and quantity in both urban and rural environments. The department has around 35 employees and approximately 20 doctoral students. The position is part of the Remote Sensing and AI research group within hydrology.
The Faculty of Engineering provides a stimulating and international environment with doctoral students, postdoctoral researchers, and faculty from many parts of the world. Research and teaching are conducted in an open and progressive climate with challenges and collaborations both within academia and with industry partners, both nationally and internationally. The work environment is characterized by commitment, collaboration, creativity, and personal responsibility.
**Specific Subject and Project Description**
The Remote Sensing and AI research group within hydrology at the Department of Water Resources Engineering is a pioneer in integrating various remote sensing data with advanced artificial intelligence to enhance the understanding and modeling of the hydrological cycle. Our work is based on a cross-platform strategy that combines measurements from ground-based sensors and satellite constellations (e.g., optical, radar, and gravimetric) to map hydrological variables across multiple scales.
In September 2025, the group launched SWIFT, a research project funded by the Middle East in the Contemporary World (MECW) program at the Center for Middle Eastern Studies (CMES) at Lund University. This interdisciplinary project involves partners from the Faculty of Engineering and the School of Economics and Management in Lund. Its main goal is to reconstruct hydrological conditions and quantify climate- and conflict-driven effects on surface water and groundwater in conflict-affected regions of the Middle East, using satellite data processing (InSAR and altimetry) and artificial intelligence.
**Responsibilities**
The primary responsibilities for a postdoctoral position include conducting research. Teaching may also be included, but no more than 20% of the working time. The position includes the opportunity for three weeks of training in teaching and learning in higher education. The purpose of the position is to develop independence as a researcher and create opportunities for further qualifications.
The successful candidate will integrate data from interferometric synthetic aperture radar (InSAR), which detects ground deformations as an indicator of changes in groundwater, with data from radar altimetry that tracks variations in surface water. AI models will analyze complex feedback loops between surface water and groundwater, simulate future water scarcity under various scenarios for climate, land use, and conflicts, and identify the impacts of conflicts on the depletion and recovery of water resources. The position also includes:
- Research within the aforementioned subject area.
- Supervision of thesis projects and doctoral students.
- Collaboration with industry and society at large.
- Administration related to the above responsibilities.
**Eligibility**
To be eligible for a postdoctoral position, the applicant must have obtained a doctoral degree, or a foreign degree assessed to be equivalent to a doctoral degree, in the relevant subject area. Proof of meeting the eligibility requirement must be submitted by the time the employment decision is made. Primarily, the applicant should have obtained their degree no more than three years prior to the application deadline. If there are special reasons, the doctoral degree may have been obtained earlier.
**Other Requirements**
- Excellent oral and written proficiency in English.
- Independence and the ability to collaborate within and outside the academic world.
- Doctoral degree in water resources engineering, remote sensing, computer science, or relevant fields.
- Documented experience in research on the application of artificial intelligence to water environment issues.
- Proficiency in programming languages such as MATLAB, Python, etc.
For the full advertisement, please see: https://lu.varbi.com/se/what:job/jobID:874887/
LTH – Lund University’s Faculty of Engineering – is the engineering faculty at Lund University. At LTH, we educate people, build knowledge for the future, and work hard to develop society. We create space for brilliant research and inspire the creative development of technology, architecture, and design. Nearly 10,000 students study here. Each year, our researchers – many of whom operate in world-leading profile areas – publish around 100 dissertations and 2,000 scientific findings. A number of research results and student projects are refined into innovations. Together