Research Assistant
Stockholms universitet · Stockholm, Sweden
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Stockholm Resilience Centre (SRC) is a leading international centre in sustainability science at Stockholm University. The Centre advances scientific understanding of the dynamic interactions between people and nature in the biosphere, trains the next generation of sustainability researchers and leaders, and engages in collaborations with change agents. It is a joint initiative between Stockholm University and the Beijer Institute of Ecological Economics at the Royal Swedish Academy of Sciences. The SRC currently employs around 165 members of staff.
More information about us, please visit: Stockholm Resilience Centre.
Main responsibilities
The position is associated with the EU Horizon Europe project SEADOTs and Biodiversa+ UrbanOcean and will involve the following tasks:
- Contribute to the continued development, extension, and documentation of an agent-based model (ABM) of Baltic Sea fisheries, including fleet behaviour and fish population dynamics under alternative policy scenarios
- Analyze relevant Baltic Sea environmental, fisheries (e.g., AIS vessel tracking data, fisher logbook records, ICES stock assessment products, and HELCOM spatial datasets) and socioeconomic data ensuring compliance with FAIR data standards, for integration into the ABM and onto the EDITO platform.
- Analyze and visualize model outputs and empirical datasets for project deliverables, scientific publications, and stakeholder communication.
- Support engagement with experts and other stakeholders to validate model assumptions and outputs.
- Contribute to writing scientific reports and research articles.
Qualification requirements
We are looking for a candidate with previous experience working with fisheries in the Baltic Sea and agent-based modelling.
Required:
- A Master’s degree in a relevant field such as sustainability science, marine/fisheries science, environmental science, or a related discipline
- Demonstrated experience with agent-based modelling, ideally using NetLogo.
- Experience in working with spatial data and GIS-tools (QGIS or similar GIS software)
- Proficiency in R for statistical analysis and data visualisation
- You must have the ability to write scientific texts in English and possess strong communication and collaborative skills.
Desirable:
- Familiarity with European Digital Twin Ocean and EMODnet data submission processes and FAIR data principles.
- Previous experience from EU-funded or other international research projects.
- Familiarity with Baltic Sea environment and fisheries.
- Project management experience.
- Working knowledge of Swedish.
About the employment
The position is a 60 % temporary position for eleven months. Stockholm University applies individual salary setting. The starting date is subject to agreement.
We offer
With us, you will experience the dynamic interaction between higher education and research that makes Stockholm University an exciting and creative environment. You will work in an international environment and get favourable conditions. The university is located in the National City Park with good transport links to the city.
Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.
Contact
For further information about the position, please contact researcher and project leader Susa Niiranen, phone: +46 8 674 75 63, or susa.niiranen@su.se, or Emilie Lindkvist phone: +46 739 83 52 69, emilie.lindkvist@su.se.
Application
Apply for the position at Stockholm University's recruitment system. It is the responsibility of the applicant to ensure that the application is complete and that it is submitted before the deadline.
The instructions for applicants are available at: How to apply for a position.
Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit of truth.
Anställningsform: tidsbegränsad anställning | Anställningens omfattning: deltid | Antal lediga befattningar: 1 | Sysselsättningsgrad: 60 % | Ort: Stockholm | Län: Stockholms län | Land: Sweden | Referensnummer: SU FV-2918-26 | Facklig företrädare: ST/OFR ST/OFR 08162000, ST/OFR ST/OFR 08162000, Saco-S Saco-S 08162000, Saco-S Saco-S 08162000, Seko Seko 0770457900, Seko Seko 0770457900, | Publicerat: 2026-09-07 | Sista ansökningsdag: 2026-09-22
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