Duke University, Nicholas School of the Environment - Durham

2864 19012
Position ID:Duke-NSOE-Durham-POST_BASURTO_MEX [#19012]
Position Title: Postdoctoral Associate - Pathways to adaptation and maladaptation in Baja California, Mexico
Position Type:Postdoctoral
Position Location:Baufort, North Carolina 28516, United States [map]
Subject Areas: Fisheries
Natural Resources Governance
Environmental Policy
Environmental / Social Sciences (more...)
Appl Deadline: finished (2021/07/23, finished 2022/03/16, listed until 2022/03/01)
Position Description:    

*** this position has been closed and new applications are no longer accepted. ***

A Postdoctoral Associate is sought to participate on a Coupled Human-Natural Systems NSF project focused on the adaptation of institutional and environmental drivers in Baja California Mexico. The ideal candidate will be part of the MAREA+ team based at Duke University. This project is part of a long-term research program at Duke spanning more than a decade of study of human-environmental interactions in this geographic region. MAREA+ is a partnership between Duke University, the University of Maine, Stanford University, Stockholm Resilience Centre, Scripps Institution of Oceanography, University of California at Santa Cruz, Comunidad y Biodiversidad, and Niparajá.

The main duties of the Postdoctoral Associate in this position will be (a) to support the PIs in the research and write up of data for publication in relation to the investigation of pathways leading to divergent socio-environmental outcomes in Baja California Sur. Instances of community adaptation or maladaptation at the local level (e.g., communities, projects, fisheries), will be identified and analyzed using Qualitative Comparative Analysis (QCA). (b) Assume leadership for the day-to-day management of responsibilities of the Duke team in relation to this research objective. (c) The Postdoctoral Associate will be encouraged to explore additional data as time allows and be welcomed to lead a publication that most fits their interests and career development goals.

The ideal candidate will have experience with the analysis of quantitative and qualitative data related to small-scale fisheries and conservation. Experience with different modelling techniques and coding, particularly qualitative comparative analysis (QCA), are strongly encouraged. Knowledge of the adaptation literature and regional literature in relation to small-scale fisheries in Northwest Mexico desirable. The ideal candidate will be working under the supervision and mentorship of Dr. Xavier Basurto.

Ideal Start Date:

January 3rd, 2022.

This is a 12 month appointment.


Position will be able to work remotely from CA, FL, GA, MD, NY, SC, TN, TX, VA, DC; however they will need to be in Beaufort, NC on their start date and remain for a month. 6 months into the job another trip to Beaufort might be required for 2-4 weeks. Travel will not be reimbursed unless additional funds are identified.

Review of applications will begin immediately and continue until the position is filled.

Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info: