The International Platform for Ocean Sustainability (IPOS) is an international science-policy platform designed to support States and regional actors in implementing ocean sustainability commitments. IPOS is entering a critically important demonstration phase through the EU-funded TEST-IPOS project, during which its methods, governance and scientific added value will be tested under operational conditions.
IPOS is creating a new Scientific Director position to build and lead the scientific function of the platform during this demonstration phase. The role will turn IPOS' scientific strategy into practice: robust methods, co-designed ocean knowledge processes, high-quality outputs, and clear links between implementation experience and the wider scientific community.
Contract: Full-time fixed-term, 18 months, with possibility of evolving into a permanent role. Start date: September/October 2026. Location: France / hybrid; international travel as required. Salary: €58,000–€66,000 gross/year depending on experience.
Refine and implement IPOS' scientific strategy, including the scientific standards that guide evidence use, co-design, peer review, uncertainty treatment and scientific quality. Position IPOS as a platform for implementation-oriented and transformative ocean science, bridging knowledge and action while learning from real-world cases to inform future research and global assessments.
Structure the scientific mobilisation capacity of IPOS, including the Coalition of Scientific Institutions (CSI), thematic working groups, and strategic partnerships with scientific and science-policy organisations. Maintain active intelligence on European and international science-policy developments, particularly in relation to ocean governance.
Support IPOS implementation pathway processes (Action Requests and Rapid Responses) by ensuring that IPOS methods are scientifically sound, fit for purpose and consistently applied. This includes methodological support to service teams, scientific oversight of peer review and quality control, appropriate framing of AI-enabled evidence synthesis, and contribution to learning processes that improve future service cycles.
Please submit a CV, a cover letter, one relevant writing sample and the names of two referees to lucas.becquet@ipos.earth and tanya.brodierudolph@ipos.earth.
Deadline: 28 June 2026.