JOB SUMMARY
The Department of Marine Sciences at the University of Connecticut invites applications for a Postdoctoral Research Associate to join an interdisciplinary project at the forefront of climate–fishery research. The Postdoctoral Research Associate will contribute to an interdisciplinary project focused on enhancing the adaptive capacity of the Atlantic Sea Scallop (Placopecten magellanicus) fishery under changing ocean conditions. The Atlantic Sea Scallop fishery is one of the most economically valuable in the United States, with annual landings exceeding $500 million. However, increasing vulnerability to ocean acidification (OA), ocean warming (OW), and extreme temperature events poses significant challenges to scallop growth, reproduction, and long-term fishery sustainability. This project aims to transform the way environmental and social data are integrated into fisheries management by combining advanced ocean forecasting, species-specific modeling, and social science to develop adaptive strategies that enhance both ecological and fishing community resilience.
The successful candidate will lead efforts to couple a regional MOM6 Northwest Atlantic seasonal ocean forecast with an existing Dynamic Energy Budget (DEB) model for sea scallops to produce seasonal forecasts of scallop growth and mortality. The postdoctoral researcher will also evaluate the predictive skill of oceanographic variables (e.g., temperature, oxygen, and pCO₂) relevant to scallop growth and assess their potential for informing fishery management decisions. This position will involve close collaboration with oceanographers, ecosystem modelers, social scientists, and fisheries stakeholders. The position offers significant opportunities to contribute to ecological forecasting, advance the integration of environmental models into fishery management, and engage directly with stakeholders and policymakers, including the New England Fishery Management Council (NEFMC).
This position provides the opportunity to conduct high-impact research at the interface of oceanography and fisheries management, with direct pathways to inform policy. The postdoc will gain experience in state-of-the-art ocean forecasting, ecological modeling, and co-production of knowledge with stakeholders—skills that are increasingly sought after in academia, government, and applied research careers. The project emphasizes strong mentorship, interdisciplinary collaboration, and professional development, ensuring that the candidate will be well-positioned for a successful independent career.
The University of Connecticut was established in 1881, is the state university of Connecticut, educating more than 32,000 students and is one of the nation’s top 25 public universities in the nation. As a Land and Sea Grant University, UConn has deep roots in the state’s economy. The University spans over 4000 acres in Connecticut, including 4 regional campuses. The Avery Point regional campus was established in 1967 and is just a short drive from both New York City and Boston. The Department of Marine Sciences is located on the Avery Point Campus in Groton, Connecticut right on the waters of Long Island Sound. Our program offers the intimacy and support of a small campus, coupled with the resources of a top-notch public university and internationally renowned scientists. Visit the department website (https://marinesciences.uconn.edu/) for more information.
DUTIES AND RESPONSIBILITIES
- Develop and implement coupled MOM6–DEB forecasts of scallop growth and mortality in rotational management areas.
- Evaluate the skill of oceanographic forecasts for environmental variables influencing scallop physiology.
- Collaborate with a multidisciplinary team of oceanographers, ecosystem modelers, social scientists, and industry partners.
- Contribute to workshops, stakeholder engagement, and communication of results to management agencies and fishing communities.
- Prepare peer-reviewed publications, conference presentations, and project reports.
MINIMUM QUALIFICATIONS
- Ph.D. in oceanography, marine science, fisheries science, climate science, or a closely related discipline by the start of appointment.
- Demonstrated experience with numerical modeling, ocean forecasting, or biophysical coupling.
- Experience with ocean biogeochemical cycling, including carbon, oxygen, and nutrient cycles, through courses or research experience.
- Experience in scientific programming (e.g., Python, R, MATLAB, or Fortran).
- Experience communicating clearly and effectively in written and oral formats.
- Demonstrated experience with or ability to pursue research independently.
PREFERRED QUALIFICATIONS
- Experience with Earth system or regional ocean models (e.g., MOM6, ROMS) and/or Dynamic Energy Budget modeling.
- Demonstrated experience working in interdisciplinary and collaborative research settings.
- Experience with engaged research.
- Experience with fisheries science, ecological forecasting, or decision-support tool development.
- Publications related to the minimum qualifications (e.g., oceanography, marine sciences, fisheries, science, climate science, etc.).
- Research experience with forecasts or projections.
APPOINTMENT TERMS
This is a full-time, end-dated position with the possibility of renewal subject to performance and funding. This project includes postdoctoral salary support for up to three years, pending satisfactory progress and performance, and availability of funding. Start date is flexible, with the preferred appointment start date in early 2026, but employees requesting a later start date will be considered. The University offers a competitive salary and outstanding benefits, including employee and dependent tuition waivers at UConn, and access to employer-sponsored retirement plans with matching funds. Salary will be commensurate with experience and is expected to be based on the National Research Service Award (NRSA) Post Doctoral Fellow stipend scale, which is available on the UConn website. Anticipated initial annual salary for a person with no prior postdoctoral experience is $62,232.
Postdoctoral Research Associates employed at UConn are represented by the UConn Graduate Employee and Postdoc Union (GEU-UAW Local 6950). Other rights and terms and conditions of the appointment are contained in the collective bargaining agreement between the University of Connecticut and the GEU-UAW Local 6950.
TERMS AND CONDITIONS OF EMPLOYMENT
Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.
TO APPLY
Please apply online at UConn Jobs, https://jobs.uconn.edu, Staff Positions, Search #499267, and upload a single PDF document that includes a one-page statement of research interests and relevant experience, a current CV, and contact information for three references.
Information about the Coastal Biogeochemical Dynamics Lab here: https://samanthasiedlecki.wixsite.com/coastalbiogeodynlab
Review of applications will begin November 15, 2025, and continue until the position is filled.
All employees are subject to adherence to the State Code of Ethics which may be found at https://portal.ct.gov/Ethics/Statutes-and-Regulations.
All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community.
The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee’s unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
The University of Connecticut is an AA/EEO Employer.