Zymtronix Catalytic Systems Inc
Postdoctoral Associate - Department of Natural Resources and the Environment
Zymtronix Catalytic Systems Inc, Northeast Ithaca, New York, United States
Postdoctoral Associate - Department of Natural Resources and the Environment
The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose‑driven science and Cornell University’s second largest college.
Position Function : This position requires a scientist with experience in fisheries and hydroacoustics surveys. The individual will use available and new data collected with active acoustics (sonar) in the Laurentian Great Lakes. Hydroacoustics is used worldwide in both marine and freshwater environments to estimate distribution and abundance of fish and larger invertebrates. Cornell is at the forefront of the application of these methods in lakes. We are now collecting data with automated systems using uncrewed drones that provide unprecedented data on fish and invertebrates in the Great Lakes. The individual will work within an interactive research group consisting of Cornell and agency scientists.
Responsibilities:
Analyze acoustic data with existing software (Echoview, R, Python).
Collaborate with USGS scientists on field data collections.
Investigate the spatial patterns of fish and invertebrates in the Great Lakes.
Present results at scientific meetings and to regional management groups and publish in the primary scientific literature.
Anticipated Division of Time
40% – Analyze acoustic data with existing software.
20% – Collaborate with USGS scientists on field data collections.
20% – Investigate spatial patterns.
20% – Present at scientific meetings and publish in the primary scientific literature.
Requirements:
Ph.D. in fisheries, ecology, marine biology, bioinformatics, limnology or related fields.
Strong quantitative background: ability to deal with large datasets using computational methods, proficiency in R or other applicable software packages, ability to develop scripts for R and Echoview, and statistical modeling.
Interest in fisheries, fisheries acoustics, aquatic ecology, and spatial ecology.
Evidence of ability to work collaboratively as well as independently.
Supervision Exercised : The individual is not expected to supervise others.
To Apply
Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30990 and submit a short cover letter, curriculum vitae, and contact information for three references via the website. Applications will be reviewed as received, continuing until a suitable applicant is identified.
Pay Range
$62,232.00 – $88,745.00. The hiring rate of pay for the successful candidate will be determined considering prior relevant work or industry experience, education level to the extent relevant, academic discipline, and unique applicable skills.
Employment Assistance
For general questions about the position or the application process, please contact the recruiter listed in the job posting or 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 607‑255‑2242 or email accommodations@cornell.edu.
Notice to Applicants
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, 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.
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Position Function : This position requires a scientist with experience in fisheries and hydroacoustics surveys. The individual will use available and new data collected with active acoustics (sonar) in the Laurentian Great Lakes. Hydroacoustics is used worldwide in both marine and freshwater environments to estimate distribution and abundance of fish and larger invertebrates. Cornell is at the forefront of the application of these methods in lakes. We are now collecting data with automated systems using uncrewed drones that provide unprecedented data on fish and invertebrates in the Great Lakes. The individual will work within an interactive research group consisting of Cornell and agency scientists.
Responsibilities:
Analyze acoustic data with existing software (Echoview, R, Python).
Collaborate with USGS scientists on field data collections.
Investigate the spatial patterns of fish and invertebrates in the Great Lakes.
Present results at scientific meetings and to regional management groups and publish in the primary scientific literature.
Anticipated Division of Time
40% – Analyze acoustic data with existing software.
20% – Collaborate with USGS scientists on field data collections.
20% – Investigate spatial patterns.
20% – Present at scientific meetings and publish in the primary scientific literature.
Requirements:
Ph.D. in fisheries, ecology, marine biology, bioinformatics, limnology or related fields.
Strong quantitative background: ability to deal with large datasets using computational methods, proficiency in R or other applicable software packages, ability to develop scripts for R and Echoview, and statistical modeling.
Interest in fisheries, fisheries acoustics, aquatic ecology, and spatial ecology.
Evidence of ability to work collaboratively as well as independently.
Supervision Exercised : The individual is not expected to supervise others.
To Apply
Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30990 and submit a short cover letter, curriculum vitae, and contact information for three references via the website. Applications will be reviewed as received, continuing until a suitable applicant is identified.
Pay Range
$62,232.00 – $88,745.00. The hiring rate of pay for the successful candidate will be determined considering prior relevant work or industry experience, education level to the extent relevant, academic discipline, and unique applicable skills.
Employment Assistance
For general questions about the position or the application process, please contact the recruiter listed in the job posting or 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 607‑255‑2242 or email accommodations@cornell.edu.
Notice to Applicants
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, 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.
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