Post Doctoral Fellow - Arctic Avian Quantitative Ecology

Post Doctoral Fellow - Arctic Avian Quantitative Ecology

• Job No:
• Classification:Post Doctoral Fellow non represented
• Grade:Non-Union Faculty Grade 40
• Work type:Hybrid, On Campus, Post Doc, Remote, Remote within Alaska
• Administrative Unit:University of Alaska Fairbanks
• School/Business unit:UAF College of Fish & Ocean Science
• Location:Fairbanks
• Categories: Research/Science/Grants

Position Summary:
The College of Fisheries and Ocean Sciences (CFOS) is seeking a research Post Doctoral Fellow to work in collaboration with the Arctic National Wildlife Refuge, U.S. Fish and Wildlife Service. Join a team of investigators focused on high Arctic ecology.

%The positon will focus on using Machine Learning (ML) and other quantitative methods to analyze existing data to assess the breeding ecology and limiting factors of common eider breeding on barrier islands in the Beaufort Sea, primarily within the Arctic National Wildlife Refuge. The Post Doctoral Researcher will join a team investigating impacts of environmental change on Arctic marine birds and will gain knowledge on conservation practices being used to navigate oil and gas development within the Arctic Refuge coastal plain, while balancing the Refuge's other four purposes. The project will benefit from a wealth of data collected from the study area over the past 5-10 years. Working with the co-PIs and other collaborators at the University and the U.S. Fish and Wildlife Service, the researcher's work may include, but is not necessarily limited to: Develop innovative tools to study avian physiology, behavior, and demography using data collected using remote cameras and physiological data loggers. Using Computer Vision and Machine Learning to analyze time-lapse video of common eiders attending nests to assess incubation behavior and causes of nest failure. Publishing on these topics. Preparation of proposals for external funding on these and related topics.Essential
We are seeking candidates for a Postdoctoral Fellow with Dr. Tuula Hollmen at the University of Alaska Fairbanks, working in collaboration with the Arctic National Wildlife Refuge, U.S. Fish and Wildlife Service. The Fellow will use quantitative methods, such as Computer Vision and Machine Learning, to analyze an existing dataset focused on the breeding ecology and limiting factors of common eider breeding on barrier islands in the Beaufort Sea, primarily within the Arctic National Wildlife Refuge. The dataset includes output from several remote monitoring tools (e.g., nest cameras and wind and heart-rate loggers). The emphasis will be on developing reproducible workflows for analyzing the data produced by these devices, as well as using those workflows to assess nest survival and factors affecting productivity, identifying nest predators, assessing physiological response to stressors, and predicting how climate change and future industrialization may impact eiders breeding on Beaufort Sea barrier islands.

The position allows for multiple professional development opportunities, including joining a team of investigators focused on high Arctic ecology and working closely with management agency partners on Arctic species conservation.

The Post Doctoral Researcher will be primarily based at the University of Alaska Fairbanks. Applicants who would like to work remotely will also be considered.

Duration: Funding is secured for at least 1 year, with the opportunity of extension up to 2 years, based on performance and success in acquiring additional funding. Expected start date is January 2023.

Knowledge, Skills, Abilities:

• Knowledge of quantitative methods, including Computer Vision and Machine Learning, preferably to address questions associated with wildlife ecology using photos and video.
• Proficiency in R or similar statistical software.
• Demonstrated evidence of excellent written and oral communication skills, including success publishing in peer-reviewed scientific journals.
• Ability to work independently and with a team.
• Strong organizational skills.

Typical Experience:

Preferred qualifications:

Experience in quantitative analysis of ecological data.

A strong interest or background in wildlife ecology.

Required Education or Training:

Ph.D. in wildlife ecology, computer science, statistics, or closely related field.

Salary Information:

This is a full-time, Post Doctoral, term-funded, exempt position complete with a competitive salary and New hires starting salary will be based on education and experience.

Special Instructions to Applicants:

Please attach a cover letter, current CV and the names and contact information (email address and phone number) for three (3) professional references with your application.

The review process for applications will be begin on December 5, 2022. To ensure consideration, please submit your application no later than 11:55 pm Alaska Time on December 4, 2022. This posting will be closed once it is filled.

*To be eligible for this position, applicants must be legally authorized to work in the United States without restriction. Applicants who now or may in the future require visa sponsorship to work in the United States are not eligible.

UAF COVID Requirements:

Effective immediately, all new UAF hires, whose job function or work location results in the employee being subject to the UAF vaccine requirements guided by the Federal Contractor Employee vaccine mandate*, must be fully vaccinated with an FDA- or WHO- authorized or approved COVID-19 vaccine or have obtained a university-approved disability/medical or religious exemption no later than six weeks from the new hire's start date.

*Employees based on UAF's Troth Yeddha' (Fairbanks) campus, regardless of university affiliation and remote work status; Employees based in UAF research units outside Fairbanks (including Seward Marine Center, Kodiak Seafood and Marine Science Center, HAARP, Poker Flat, Lena Point, and Toolik Field Station); and Employees, regardless of their work location, paid by or directly working on impacted UAF federal contract.

This position is term-funded and is reviewed annually for contract renewal at the University's discretion.

The University of Alaska (UA) is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing this application or during any phase of the interview process, please contact UA Human Resources by phone at 907-450-8200.

UA is an AA/EO employer and educational institution and prohibits illegal discrimination against any individual:

The successful applicant is required to complete a background check. Any offer of employment is contingent on the background check.

Your application for employment with the University of Alaska is subject to public disclosure under the Alaska Public Records Act.

If you have any questions regarding this position, please contact University of Alaska HR at 907-450-8200.

Applications Close: Open until filled

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Fairbanks, AK

7 day(s) ago

Closing Date 2023-02-23