Postdoctoral Associate/Fisher Population Modeling | Cornell University Job at Cornell University, Ithaca, NY

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  • Cornell University
  • Ithaca, NY

Job Description

Postdoctoral Associate/Fisher Population Modeling

Academic Job Description

Department of Natural Resources and the Environment

Fisher Population Modeling Post Doc

The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University's second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we probe and the answers we seek focus on three overlapping concerns: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world's complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across the nation, and around the world.

Position Function

A postdoctoral position is available in the Fuller Spatial Ecology and Decision Science Lab with the New York Cooperative Fish and Wildlife Research Unit and the Department of Natural Resources and the Environment at Cornell University to evaluate the effects of harvest on fisher populations.

Historically, fishers were distributed across New York, but the species was nearly extirpated by the 1930s as a result of unregulated trapping. Populations have recovered in many areas, allowing for sustainable harvest opportunities in some parts of the state (e.g., parts of the Adirondacks and eastern New York). The New York State Department of Environmental Conservation recently opened new areas to fisher harvest in central New York with a conservative trapping season as a result of occupancy work in our lab suggesting that specific Wildlife Management Units (WMUs) may be able to support a harvest season. The postdoc will evaluate the effects of the conservative trapping season by comparing fisher density 3 years pre- versus 3 years post-trapping season regulation change (data from >600 sites using camera trapping and hair snares). In contrast to central New York, fishers in the northern zone of New York may be declining in several Adirondack Wildlife Management Units. The postdoc will develop a fisher population model and use a decision science approach to evaluate which harvest management scenario (e.g., variation in trapping season length, timing, bag limits) best achieves biological, social, and agency objectives. The research will provide decision-making guidance for the New York State Department of Environmental Conservation.

Anticipated Division of Time

80% research, 10% data collection, 10% writing.

Requirements

Ph.D. in ecology, wildlife biology, conservation biology, natural resources, statistics, or a related field, with a focus on quantitative methods in population ecology. Strong mathematical and programming skills, demonstrated proficiency in statistical estimation and simulation modeling and use of R. Previous experience with population estimation using (spatial) capture-recapture models. Demonstrated desire and proven ability to publish in peer-reviewed journals. Excellent writing and personal communication skills. The ability to work independently and under limited supervision as well as collaboratively.

Desired qualifications:

Competitive candidates will have experience in application of decision science. Experience with spatial capture-recapture and occupancy models; experience with harvest-based models. Successful applicants will possess strong personal communication skills, as well as a desire to conduct quantitative science for applied resource management needs. Applicants should be independent and motivated to work with a broad range of external collaborators and have experience working with management agencies.

Supervision Exercised: No supervision of others expected.

Salary : $57,000/year plus benefits (health and dental insurance, retirement, life insurance, disability). Appointment end date not to exceed March 31, 2025. There is a possibility of extension, pending additional funding.

Start date: As soon as possible.

To apply:

Applications will be reviewed as received, continuing until a suitable applicant is identified.

CALS hiring range for this title is $56,484 to $57,000.

College of Agriculture and Life Sciences

Life. Changing.

Cornell University is an innovative Ivy League and Land-grant university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose and contribute creative ideas to further the university's mission of teaching, discovery, and engagement.

Cornell's regional and global presence includes state-wide Cornell Cooperative Extension programs and offices in all counties and boroughs, global partnerships with institutions and communities engaged in life-changing research and education, the medical college's campuses on the Upper East Side of Manhattan and Doha, Qatar, and the Cornell Tech campus on Roosevelt Island in the heart of New York City.

Diversity and Inclusion are a part of Cornell University's heritage. We are a recognized employer and educator valuing AA/EEO, and we do not tolerate discrimination based on any protected characteristic, including race, ethnic or national origin, citizenship and immigration status, color, sex/gender, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff to all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply.

Pay Range:

$56,484.00 - $80,000.00

Pay Ranges:

The hiring rate of pay for the successful candidate will be determined considering the following criteria:

  • Prior relevant work or industry experience.

  • Education level to the extent education is relevant to the position.

  • Academic Discipline (faculty pay ranges reflects 9-month annual salary)

  • Unique applicable skills.

Employment Assistance:

Notice to Applicants:

EEO Statement:

Diversity and Inclusion are a part of Cornell University's heritage. We are a recognized employer and educator valuing AA/EEO, and we do not tolerate discrimination based on any protected characteristic, including race, ethnic or national origin, citizenship and immigration status, color, sex/gender, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff to all identities and backgrounds. We encourage individuals from underrepresented and/or marginalized identities to apply.

2024-04-15

Job Tags

Local area,

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