Doctoral (Licentiate) Student in Geospatial Data Analysis and Hydrogeological Modeling KTH Royal Institute of Technology in Sweden

The KTH Royal Institute of Technology in Stockholm, Sweden, invites applications for a Doctoral (Licentiate) student position in Geospatial Data Analysis and Hydrogeological Modeling. This research project is situated within the third-cycle subject of Hydrogeology, Contamination, and Hydroclimate, and aims to assess the contribution of historical, emerging, and future groundwater pollution to coastal marine environments across spatial and temporal scales. The project will explore key processes such as submarine groundwater discharge and the interactions between hydrological, biogeochemical, and climatic factors influencing pollutant transport, utilizing advanced groundwater modeling approaches to better represent subsurface dynamics.

Through the integration of spatial analysis and geospatial data processing, the research will provide insights into pollution pathways and impacts on coastal water quality. Case studies will investigate the current status of groundwater-coastal system interactions and evaluate potential outcomes of various environmental and management scenarios. Data-driven methods, including machine learning, will be incorporated to improve predictions and support strategies aimed at reducing pollution and enhancing marine ecosystem health.

Supervision for this position will be provided by Professor Zahra Kalantari. The successful candidate will join a creative and dynamic environment at KTH, a leading international technical university committed to advancing sustainable society through education, research, and innovation. The position offers full-time employment with a monthly salary according to KTH's doctoral student salary agreement, along with attractive employee benefits. The employment duration is up to two years for the licentiate degree, with the possibility of renewal.

Eligibility requirements include a second cycle degree (such as a master's) or equivalent, or at least 240 higher education credits with at least 60 at the second-cycle level. English proficiency equivalent to English B/6 is mandatory. Applicants should demonstrate a strong foundation in Python, experience in groundwater modeling, proficiency with GIS platforms (ArcGIS, QGIS), spatial data processing, and machine learning. A publication track record and excellent command of written and spoken English are required. Personal skills such as independence, collaboration, professionalism, and the ability to analyze complex issues are highly valued.

To apply, candidates must submit a complete application through KTH's recruitment system, including certified copies of diplomas, grades, and language certificates, a CV, an application letter outlining academic interests and motivation, and representative publications or technical reports. Translations are required if documents are not in English or Swedish. Applications must be received by midnight CET on the deadline date, 22 April 2026.

KTH values equality, diversity, and equal opportunities as integral to its core values. The university offers good working conditions, opportunities for growth, and a supportive doctoral student network. For further information about doctoral studies at KTH and the application process, please refer to the official job advertisement and recruitment portal.