The POSEIDON project is hiring for two (2) new postdoctoral researchers. They will support model development to explore management of Eastern Pacific tropical tunas, along with an on-going management strategy evaluation for the Indonesian deepwater snapper fishery.
- The first postdoc will be based at the University of Oxford, and requires deep expertise in agent-based model building and application, wider software development skills and a strong quantitative background. S/he will be tasked with coding and model development as we apply the model to the Eastern Pacific Ocean (EPO) tropical tuna fishery.
- The second postdoc will be based at the Inter-American Tropical Tuna Commission (IATTC) in La Jolla, California and will be charged with 1) understanding and accessing relevant datasets from IATTC; 2) scoping model application and designing use cases that are supportive of IATTC policy evaluation processes; and 3) conducting statistical analyses of data to support model development. This position requires a strong background in quantitative fisheries science, though other strong quantitative backgrounds may be considered.
Both will work closely with the multidisciplinary POSEIDON team from the University of Oxford, Ocean Conservancy, George Mason University, the University of California, Santa Barbara, and Arizona State University and our partners from the IATTC, The Nature Conservancy, Indonesia, and the International Seafood Sustainability Foundation. This project provides researchers the opportunity to experience first-hand how to bring research into practical application, connect with top researchers, policy experts, practitioners and business leaders, and contribute to meaningful and timely solutions for the world’s oceans and fisheries. (more on the POSEIDON model below).
Brief descriptions of each position are below – for more information or to apply, please follow the application link.
Postdoctoral Research Associate – Agent-Based Model Development (University of Oxford, based in Oxford, England, 24 mos)
Supervisor: Dr. Richard Bailey
This postdoc will focus on building build an agent-based model (ABM) to represent the extraction of fish by fishing vessels in the eastern pacific tropical tuna fishery and the associated effects on ocean ecological systems. The position requires deep expertise in agent-based model building and application, wider software development skills and a strong quantitative background – a doctorate in a quantitative subject (e.g., mathematics, physics, engineering, quantitative ecology) is a requirement; a track record of multi-disciplinary research and experience in complementary disciplines (e.g., economics, marine biology, natural resource management) is strongly preferred.
To apply: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=134714
Postdoctoral Research Assistant – Eastern Pacific Tropical Tuna Management (Arizona State University, based in La Jolla, CA, 18 mos with possibility of extension)
Supervisor: Dr. Steven Saul
This postdoc will serve as a key member of the team to develop the POSEIDON application for EPO tropical tuna management. S/he will be based at the IATTC’s headquarters in La Jolla, California, and will be charged with 1) understanding and accessing relevant datasets from IATTC; 2) scoping model application and designing use cases that are supportive of IATTC policy evaluation processes; and 3) conducting statistical analyses of data to support model development. This researcher will work closely with the modeling team based at the University of Oxford and Ocean Conservancy to drive model design, calibration and validation of the tool and its outputs, as well as evaluation of model results. At the IATTC headquarters, this researcher will act as the liaison between the POSEIDON team and IATTC staff so that the best knowledge of the data and the fishery is well-captured in the model. The position requires a strong background in quantitative fisheries science; candidates with other strong quantitative backgrounds (e.g., a doctorate in a quantitative subject, e.g., computer science, applied mathematics, physics, engineering, quantitative ecology) may be considered. This position also requires the ability to handle large datasets, knowledge of statistics and simulation modeling, and programming skills in R (or equivalent languages). Experience with agent-based model building and application, wider software development skills, and natural resource management are strongly preferred.
POSEIDON is a coupled human-ecological model that combines an agent-based, adaptive fishing fleet model with existing fishery models or simple biological data, to simulate vessel behavior and fishery outcomes based on policies, market influences, and environmental factors. POSEIDON provides a powerful platform for policy evaluation and decision support, with a strong focus on the spatial and human dimensions of fisheries management. POSEIDON was originally developed by a multidisciplinary team from the University of Oxford, Ocean Conservancy, George Mason University, the University of California, Santa Barbara, and Arizona State University, as part of an effort to advance innovation in fisheries management. The model has been calibrated and validated to the U.S. West Coast groundfish fishery, where it has been able to reproduce observed fishing patterns. It is now being adapted to explore MSC certification for Indonesia’s deep slope snapper fishery (in partnership with The Nature Conservancy, Indonesia), as well as for EPO tropical tuna management.