Student worker for research project by MGeo

Description of the workplace

The position is open in the project aiming to assess the reindeer pastures in Fennoscandia from a biodiversity perspective. You will be working in an interdisciplinary group consisting of young to senior specialists in remote sensing, geobotany, and ecology at various career stages. The team brings together researchers at different career stages, offering an excellent opportunity to develop a broad scientific perspective and a diverse skill set, including scientific communication and collaboration. The position offers flexible working conditions without a permanent office workspace. However, regular onsite meetings will be held at Geocentrum II, complemented by frequent online meetings. A balanced workload is ensured through a clear division of roles and tasks among group members, with overall coordination provided by the project leader.

We offer

A flexible remote/onsite position that combines theoretical training in Arctic vegetation and reindeer husbandry with hands-on experience in remote sensing, GIS, and biodiversity modelling. The position is fully compatible with ongoing master’s-level studies.

Lund University is a government agency that offers good employment conditions.

Read more on the university website about Working with us.

Job duties

The project assistant will primarily be responsible for acquiring, processing, and managing data for biodiversity, vegetation cover, and biomass modelling. Key tasks include:

• Searching for, downloading, and processing biodiversity, vegetation, and remote sensing data (including satellite imagery and GIS datasets)
• Developing species distribution models and evaluating their performance
• Identifying and implementing optimal approaches for biodiversity modelling
• Optimising data storage, organisation, and documentation
• Writing scripts to automate data processing and analysis workflows
• Providing technical support to students involved in the project
• Contributing to the writing of methodological sections of scientific publications
• Actively participating in the dissemination of project results (e.g. presentations, reports, and outreach materials)

Eligibility

To be eligible for employment as a student employee, the applicant must:

• Be currently enrolled in full-time master’s-level studies
• Have completed at least 60 higher education credits
• Not have commenced postgraduate (doctoral) studies

In addition, the applicant must have successfully completed the following courses at Lund University: NGEN20, NGEN22, NGEN23, NGEN28, and NGEN34.

Qualifications 

Required qualifications

• Ongoing full-time enrolment in a master’s programme by the faculty of science
• Advanced programming skills in Python and R
• Advanced proficiency in ArcGIS and/or QGIS
• Experience with machine learning algorithms applied to environmental or spatial data
• Documented experience working with satellite time-series data (e.g. MODIS, Sentinel)
• Demonstrated experience developing geospatial tools and workflows
• Strong statistical skills in R
• Very good command of English, both written and spoken
• Excellent communication and collaboration skills

Meritorious qualifications

• Contributions to publicly available GIS and remote sensing datasets

 
Other:
The employment is fixed-term for 3 months with preferable startdate 2026-03-01 or start as soon as possible there after and concerns the scope 25% of full time.
You work according to a schedule that is determined in agreement with you.
Provisions regarding employment as a student employee can be found in "Agreement on limited-time employment as a student employee".

How to search:

The application should include a CV and a cover letter explaining why you are interested in the position and how the position matches your qualifications. An extract from LADOK that confirms your eligibility. The application should also include any other information you wish to rely on (copies of grades, references, letters of recommendation, etc.).

Welcome with your application!