Postdoctoral Scholar in Citizen Science Monitoring Data
University of Washington, School of Aquatic and Fishery Sciences (SAFS)
United States

Postdoctoral Scholar - Citizen Science Monitoring Data


Position Overview


Organization: Aquatic and Fishery Sciences

 

Title: Postdoctoral Scholar - Citizen Science Monitoring Data

 

Position Details


Position Description


The School of Aquatic and Fishery Sciences (SAFS), in collaboration with Washington Sea Grant (WSG), is looking for a Postdoctoral Scholar to contribute to a research project on citizen science monitoring data in Puget Sound. The ideal candidate has skills and interests related to the fields of citizen science, quantitative ecology, and conservation planning. The Postdoctoral Scholar will have an office at SAFS, and work interactively with key stakeholders and citizen science groups involved with collecting monitoring data in Puget Sound. This is a full-time, 15-month position located at the University of Washington.

 

Our objective is to analyze and interpret data that have been collected using protocols in the Shoreline Monitoring Toolbox and uploaded to the database. These data will be used to assess restoration effectiveness and status and trends in Puget Sound. This will broaden the scale of monitoring projects, and provide sound-wide guidance for metrics of restoration success, status and trends, and adaptive management into the future.

 

This position will work collaboratively with co-supervisors Jason Toft (UW SAFS) and Kate Litle (WSG), as well as colleagues at Sound Data (developer of the online database). Inquiries should be emailed to Jason Toft (tofty@uw.edu). Applicants are encouraged to review the Shoreline Monitoring Toolbox and related Database, which will be further developed during the upcoming funding, as well as a publication on previous findings:

wsg.washington.edu/toolbox

shoremonitoring.org

http://doi.org/10.5334/cstp.100

 

The College of the Environment fosters existing and new collaborations between outstanding faculty, staff and students who are engaged in the study of: the solar system and Earth’s dynamic land, water and atmosphere; the development and application of environmental engineering and technological advances; and the impact of policy and human actions on the environment, and the management of natural resources.

 

The School of Aquatic and Fisher Sciences (SAFS) is dedicated to sustaining healthy marine and freshwater environments. Our school comprises one of the largest and most diverse academic aquatic and fisheries sciences program in the United States. Our faculty conduct innovative research from the organism to the ecosystem scale, and are recognized leaders in aquatic biology, sustainable fisheries management, and aquatic resource conservation.

 

The School of Aquatic and Fishery Sciences values the strengths and professional experience that students, faculty, and staff bring to our community. We are committed to providing excellent education to all of our students, regardless of their race, gender, class, nationality, physical ability, religion, age, or sexual orientation. We are proud of the different roles that our students, staff, and faculty play in the community of the School and in the College of the Environment. We recognize that science is richer and the SAFS community is more vibrant when a diverse group of people participate the SAFS community.

 

The University of Washington (UW) is located in the greater Seattle metropolitan area, with a dynamic, multicultural community of 3.7 million people and a range of ecosystems from mountains to ocean. The UW serves a diverse population of 80,000 students, faculty and staff including 25% first-generation college students, over 25% Pell Grant student and faculty from over 70 countries. The UW is a recipient of a National Science Foundation ADVANCE Institutional Transformation Award to increase the advancement of women in science, engineering, and math (see https://advance.washington.edu/).

 

Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website.

 

Qualifications

  • PhD in Fisheries Sciences, Marine Biology, Quantitative Ecology, or related field.
  • Strong programming experience with R.
  • Analyze and interpret data that have been collected using Toolbox protocols and database. Submit at least one peer-reviewed manuscript.
  • Harvest older datasets to incorporate into the analysis.
  • Participate in fieldwork monitoring efforts, including collection of data and training of citizen scientists.
  • Assist in development of data visualizations, to make outputs and queries interactive (Sound Data will be the lead).

Instructions
To apply please submit your application through Interfolio with the following: (1) A letter of interest detailing your skills and experience. (2) A curriculum-vitae including publications. (3) Three letters of recommendation.

 

For questions about this position, including potential disability accommodations, please contact Katie Effert, at keffert@uw.edu or 206-685-6083.

 

Equal Employment Opportunity Statement
University of Washington is an affirmative action and equal opportunity employer. All
qualified applicants will receive consideration for employment without regard to race, color, creed,
religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information,
gender identity or expression, age, disability, or protected veteran status.

 


Apply now

The University of Washington is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

For help signing up, accessing your account, or submitting your application, please check out Interfolio's help and support section or get in touch via email at help@interfolio.com or phone at (877)997-8807.

 


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