Job Opportunities API

About the role The objective of this position is to strengthen the team’s capacity to develop and apply data-driven and systems-based approaches across water, coastal and marine domains – including federated data systems, decision-support tools and geospatial analysis – while contributing to project leadership and new funding opportunities. The researcher will work across the team’s three pillars and multiple projects, bringing methodological coherence to data-intensive work and reducing dependence on the team lead for analytical coordination. About the team The Water, Coasts and Ocean Team works across three thematic pillars: Resilient Infrastructures, One Water and Blue Economy. Across these pillars, the team addresses increasingly complex challenges involving data integration, cross-sectoral cooperation and digital decision-support – from freshwater systems and coastal resilience to offshore infrastructure and critical national services. Several funded projects now require integrated capacity in data (systems, modelling and governance). Recruiting a researcher with strong expertise in data systems is a strategic priority for delivery, proposal development and analytical leadership. Key responsibilities Lead and contribute to data systems work: integration, interoperability, security and application in decision-support tools across sectors Apply and promote FAIR data principles (Findability, Accessibility, Interoperability, Reusability) and related standards in project data management Develop and implement digital and data-driven approaches for infrastructure risk assessment, resilience planning and coastal and marine management Contribute to SAFEWIN’s development of federated learning approaches for cross-sectoral data cooperation in sensitive infrastructure contexts Contribute to KRAFT’s analysis of data management challenges and cascading risks across critical infrastructure systems Engage with Swedish and international stakeholders, including public agencies, research partners and practitioners Translate complex data and modelling outputs into policy-relevant insights, project reports, publications and stakeholder-facing materials Contribute to proposal development and fundraising for new projects Support project coordination and supervision of junior researchers where relevant What we are looking for We do not expect candidates to have expertise across all areas listed. We are particularly interested in candidates with strong foundations in either data systems and digital methods or the governance and application of digital tools, combined with a demonstrated ability to work across disciplinary and sectoral boundaries. Experience in or genuine interest in water, coastal, marine or critical infrastructure contexts is valued but not required. Essential PhD in data science, environmental informatics, computer science, infrastructure systems or a related field; candidates without a PhD must demonstrate equivalent independent research experience, including a track record of securing funding Strong experience with data integration, modelling, spatial analysis or the development of digital decision-support tools Experience eliciting user requirements and translating them into analytical methods, digital tools or decision-support products Experience working with data from complex, multi-sectoral or infrastructure-related contexts Working proficiency in at least one programming or scripting language (e.g. Python, R) for data analysis or tool development Ability to lead analytical work packages within interdisciplinary research projects Familiarity with data governance, metadata standards, interoperability frameworks and data architectures supporting the sharing and use of data across organizations or sectors Experience contributing to or leading research funding proposals, with a track record of securing funds at a scale commensurate with career stage Strong publication record or equivalent output in applied rese