Salary
Monthly salary according to KTH’s doctoral student salary agreement
Location
Stockholm, Sweden
Last application date
03.Nov.2025
Project description
Third-cycle subject: Geodesy and Geoinformatics
This position is part of the project MultigrainGIS: Grain-adaptive geographic data processing for ecological modeling (https://drive.google.com/file/d/1s0wSsXd8OQN-xm1KOFVGHTNVOyLv8-OZ/view?usp=sharing), funded by the Swedish Research Council Formas.
The project addresses a core challenge in ecological modeling: many ecological processes—ranging from water flow and fire spread to animal movement and habitat fragmentation—operate at distinct “grains.” However, most geographic data and tools rely on predefined grids that may not align with these process-specific scales. This mismatch often leaves users no choice but to resample input data, which can reduce model accuracy, especially when modeling multiple processes that interact across different spatial scales. To address this, the project will develop a new class of raster data-processing methods that better reflect how ecological processes actually operate—without modifying the original input data. If successful, this approach will enhance how ecological models handle spatial variation and support more integrated, multi-scale modeling.
The position includes up to 20% departmental duties.
Supervision: Takeshi Shirabe is proposed to supervise the doctoral student. Decisions are made on admission
To apply for the position
Apply for the position and admission through KTH’s recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.
Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).
Applications must include the following elements:
- CV including your relevant professional experience and knowledge.
- Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
- Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.
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