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Post Doctoral Research Scholar

Job Description

Posting Number

PG191176PD

Position Number

00110686

Position Type

Post Doc

FLSA

Exempt

Department ID

112101 - Applied Ecology

Department

112101 - Applied Ecology

Job City & State

Raleigh, NC

Essential Job Duties

Primary research focuses on developing methods to estimate Canada lynx abundance and distribution in Minnesota, USA using detection/non-detection data and genetic mark-recapture data. The position is located at North Carolina State University and involves a collaborative team including Dr. Nathan Hostetter (USGS NC Cooperative Fish and Wildlife Research Unit; NC State University), Megan Kosterman (U.S. Fish and Wildlife Service), and Dan Ryan (Superior National Forest).

The Postdoctoral Associate will:
  1. Quantify multi-year lynx occupancy using snow-tracking data from Superior National Forest (2014-2024).
  2. Develop methods to estimate abundance by integrating annual snow-tracking data and periodic genetic spatial capture-recapture data (2 years of SCR data).
  3. Work with collaborators to evaluate the future status of lynx in the region and monitoring efforts.
The postdoc will participate in all aspects of research activities, have opportunities to participate in occasional field research, and have the flexibility to explore their own research ideas.

Appointment is for one year, with renewal of an additional year based upon satisfactory performance and funding.

You Belong Here! At NC State, our goal is for all employees to reach their fullest potential at work. As you consider this opportunity, we encourage you to review our Employee Value Proposition (https://news.hr.ncsu.edu/you-belong-here/) and learn more about what makes NC State the best place to learn and work for everyone.

Work Schedule

Monday - Friday, 8 am - 5 pm

Department Required Skills

  • Ph.D. in fisheries, wildlife, statistics, quantitative ecology, or related fields.
  • Experience with hierarchical modeling in R with special emphasis on spatial capture-recapture and Bayesian methods.
  • Excellent verbal and written communication skills.
  • Ability to work in an interdisciplinary research group.
  • Commitment to maintaining an inclusive work environment.

Preferred Years Experience, Skills, Training, Education

  • Record of peer-reviewed publications.
  • Proficiency with hierarchical modeling and data integration either through existing software (JAGS/Nimble/Stan) or customizable methods.
  • Spatial modeling experience (e.g., spatial statistics, spatial capture-recapture, spatial occupancy)
  • Experience working with and managing large heterogeneous data sets.

Required License or Certification

  • A valid NC Driver’s License and the ability to obtain an NC Driver’s License within 60 days of hire.
  • A valid Driver’s License must be maintained throughout employment.

Valid NC Driver's License required?

Yes

Commercial Driver's License Required?

No

Anticipated Hiring Range

commensurate with experience ($60,000 - $65,000)

Job Open Date

02/27/2024

Quick Link

https://jobs.ncsu.edu/postings/198181

AA/EEO

NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-515-3148 to speak with a representative at the Office of Institutional Equity and Diversity.

If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.

Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.

NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

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