Project assistant in reseach at the Department of Earth and Environmental Sciences

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 46 000 students and 8 500 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. Lund University welcomes applicants with diverse backgrounds and experiences. We regard equality, equal opportunities and diversity as a strength and an asset.

Research and education at the Department of Earth and Environmental Sciences (MGeo) addresses fundamental and applied questions on the Earth’s past, present and future climate and environment, including people’s interactions with the natural world and consequences for human wellbeing. MGeo advances and deploys cutting-edge methods, models and technologies in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales.

Work duties

Forests differ substantially in their species composition, structure and ecological function, with tree-species diversity influencing biodiversity, ecosystem services, resilience to environmental disturbance, and contributing to nature-based solutions. The project assistant will primarily involve preparing and integrating large geospatial datasets, adapting and applying machine-learning models across different forest and environmental conditions, and evaluating model performance using forest inventory and other reference data. The position will also involve producing national-scale tree-species and species-composition maps, assessing spatial patterns of prediction uncertainty, and carrying out quality control of the resulting map products. Additional tasks may include processing satellite and ancillary environmental data, preparing training and validation datasets, manual interpretation and digitization of reference information.

Qualifications

• Master’s degree in environmental science, GIS, remote sensing, or equivalent competence.
• Experience analyzing large volumes of medium-resolution satellite remote sensing data such as Landsat and Sentinel-2.
• Very good programming skills (e.g. Python, JavaScript).
• Very good oral and written proficiency in English.

Other merits

• Experience with time series satellite image analysis in cloud computing platforms (e.g. GEE Python API).
• Experience developing machine learning models (e.g. CNN, XGBoost, etc).

We will place great emphasis on personal suitability. In the assessment, consideration will also be given to factors such as attention to detail, the ability to plan and organize work effectively, good collaboration skills, initiative, and independence. Consideration will also be given to how the applicant’s experience and competencies complement and strengthen the research activities within the project.

Terms of employment

• Fixed-term employment, 8 months.
• The scope of the employment, full time (100%).

Instructions on how to apply

Applications should be in English and include a cover letter stating the reasons why you are interested in the position and in what way the employment corresponds to your qualifications. The application should also contain a CV, degree certificate or equivalent, and other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.).

Welcome to apply!

Within the Faculty of Science research and education is conducted within Astronomy, Biology, Physics, Geosciences, Chemistry, Mathematics, medical radiation physics, physical geography and Environmental Sciences. The Faculty of Science is organized into eight departments, gathered in the northern campus area in Lund. The Faculty of Science has approximately 1900 students, 330 PhD students and 730 employees.

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Anställningsform: särskild visstidsanställning | Anställningens omfattning: heltid | Antal lediga befattningar: 1 | Sysselsättningsgrad: 100 | Ort: Lund | Län: Skåne län | Land: Sweden | Referensnummer: PA2026/2690 | Kontakt: Hakim Abdi , Hakim Abdi , | Facklig företrädare: SEKO: Seko Civil 046-2229366, SEKO: Seko Civil 046-2229366, OFR/ST:Fackförbundet ST:s kansli 046-2229362, OFR/ST:Fackförbundet ST:s kansli 046-2229362, SACO:Saco-s-rådet vid Lunds universitet 046-2220000, SACO:Saco-s-rådet vid Lunds universitet 046-2220000, | Publicerat: 2026-09-25 | Sista ansökningsdag: 2026-10-09