Cornell University, Department of Natural Resources and the Environment

*** this position has been closed and new applications are no longer accepted. ***
Position Description
Academic Job Description
Department of Natural Resources and the
Environment
Postdoctoral Associate
The College of Agriculture
and Life Sciences at Cornell University embraces diversity and seeks candidates
who will contribute to a climate that supports students, faculty, and staff of
all identities and backgrounds. We strongly encourage individuals from
underrepresented and/or marginalized identities to apply.
The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and home to Cornell University’s second largest population of students, faculty and staff. 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: natural and human systems; food, energy and environmental resources; and social, physical and economic well-being. CALS is fundamentally invested in improving the lives of people, their environments and their communities both in New York state and around the world.
Position Function
The Fuller Spatial Ecology and Decision Science Lab https://blogs.cornell.edu/fullerlab/ at the New York Cooperative Fish and Wildlife Research Unit at Cornell University is seeking candidates for a postdoctoral associate to provide data management for a bat population monitoring project using mobile acoustic survey data. The project is in support of the North American Bat Monitoring Program (NABat), collaborating with partners from the U.S. Geological Survey and the U.S. Fish and Wildlife Service. The project will collect and analyze mobile acoustic survey data from monitoring partners in the northeastern United States. The candidate will serve as the data manager, working with partners to determine where assistance is needed, troubleshoot, understand data management needs, data processing needs, and work to gather resources from partners. The candidate will apply knowledge of data management, computer programming, quality assurance and control, GIS, and data management guidelines to support the collation of regional bat population monitoring and survey data. The primary objective of this role is to ease data management burdens on partners and aid in the aggregation of data on bats occurring in the region so they may be accessed to address management needs.
The candidate will work with state, federal, and non-governmental organizations in the northeast (NY, VT, NH, ME, MA, CT, RI, PA and NJ, DE, D, VA, WV) to provide technical assistance to partners engaged in monitoring and managing bat populations and will support preparing, managing and uploading data from acoustic surveys to the NABat database.
The candidate will be supervised
by Dr. Angela Fuller, U.S. Geological Survey, NY Cooperative Fish and Wildlife
Research Unit, at Cornell University (Ithaca, New York). The postdoctoral
associate - data manager will work closely with the NABat program, USGS Fort
Collins Science Center (Dr. Brian Reichert and Bethany Straw), the National
white-nose syndrome coordinators with the U.S. Fish and Wildlife Service (Drs.
Jeremy Coleman and Jonathan Reichard), and NABat contributing data partners. In
addition, the postdoctoral associate will work closely with another
postdoctoral scientist who will be analyzing mobile acoustic data to estimate
abundance and trends. The individual will be housed in the Department of Natural
Resources and the Environment, Cornell University, Ithaca, NY. The position
will require frequent travel, including to the Fort Collins Science Center,
Colorado as well as states in the eastern US.
Specific duties
include: Support regional partners in obtaining mobile acoustic records, along
with other data streams as practical. Provide technical assistance to partners
in uploading data to the NABat Database via the NABat Partner Portal. Assist
states with data entry and help to manage data partnerships. Coordinate with
other data managers in the NABat Program to ensure efficiency and quality
across data streams. Assist in reviewing data and preparing acoustic data for
use in models to estimate abundance and trends of bats. Provide data
visualization products and user-friendly report, including submitting research
results in peer reviewed publications.
Initial appointment is 1 year with
the possibility of renewals up to 5 years.
This is a full time (40 hr/week),
on campus position.
Data
Management 40%
Research
Support 35%
Data
Analysis and Reporting 25%
· PhD in data science, database
management, computer science, ecology, wildlife biology, conservation biology,
natural resources, statistics, or related subjects.
· Strong
mathematical and programming skills and use of R and GIS.
· Experience with acoustic
data, preferably related to population monitoring.
· Experience
creating and manipulating large databases.
· Excellent writing
and personal communication skills, including with external partners.
· Excellent
interpersonal skills and ability to develop and maintain strong, positive
working relationships.
Recommended qualifications:
Competitive
candidates will also have one or more of the following qualifications: Previous
experience with bat population ecology, bat acoustic monitoring methods, automated
species classification of bat acoustic recordings, population modeling, spatial
analysis, machine learning, big data skills, R Shiny App.
Preferred qualifications also include familiarity with NABat and experience
uploading and accessing data via the NABat Partner Portal.
This position will not supervise others.
To apply:
Please apply via Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/26362.
Qualified candidates should submit a short cover letter outlining how they meet the requirements and qualifications, curriculum vitae, contact information for three references, and a statement supporting diverse communities (this can be a stand-alone document (preferred) or the information can be embedded in other parts of the application materials) outlining how, through research, teaching, service. mentoring, extension, and/or outreach, the candidate has and will contribute to support Cornell’s historical mission of “any person … any study,” via the website.
Applications will be reviewed as received, continuing until a suitable applicant is identified.
CALS hiring range for this title is $56,484 to $56,813.
College
of Agriculture and Life Sciences
Life.
Changing.
Cornell University is an innovative Ivy League
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.
Diversity and Inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, Protected Veterans, and Individuals with Disabilities. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations.
For specific questions about the position or application process, please contact the Recruiter listed in the job posting or for general questions email mycareer@cornell.edu.
If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice (607) 255-2242, or email at accommodations@cornell.edu.
Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor.
Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant.
EEO Statement:
Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “... any person ... any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, 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.
Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRRA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.
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.
Application Materials Required:
- Cover letter
- Curriculum Vitae
- Statement supporting diverse communities
- Three references (actual letters acceptable but not required, just names and email addresses
)
Further Info: