1

Postdoctoral Position Ecological Modeling Jobs in New York

Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category ... models and iPSC-derived human neurons. The Postdoctoral Associate will perform small animal ...

POSTDOCTORAL RESEARCHER

New York, NY · On-site

$62K - $75K/yr

... model predictive control using force feedback. In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $62,500 to $75,000. New York University considers ...

Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category ... Among the key duties of this position are the following: * Treats and assesses mouse models of ...

The research group where the position resides is recognized for outstanding work in chemical ... Write, maintain, and disseminate software and/or AI models developed during the project. * Report ...

Develop and apply biophysical and bioinformatics models to analyze immune responses. Identify and ... Review of applications will begin as soon as possible and will continue until the position is ...

Develop and apply biophysical and bioinformatics models to analyze immune responses. Identify and ... Review of applications will begin as soon as possible and will continue until the position is ...

Showing results 21-40

Postdoctoral Position Ecological Modeling information

What is a postdoctoral position in ecological modeling?

A postdoctoral position in ecological modeling is a temporary research role, typically held after earning a PhD, focused on using mathematical, statistical, or computational models to study ecological systems. Postdocs in this field often work on projects related to ecosystem dynamics, species interactions, conservation strategies, or climate change impacts. These roles involve designing models, analyzing data, publishing research, and sometimes mentoring students. The goal is to advance scientific knowledge and develop professional skills for future independent research or academic positions.

What are some typical collaborative opportunities for postdoctoral researchers in ecological modeling?

Postdoctoral researchers in ecological modeling often work closely with interdisciplinary teams, including ecologists, data scientists, and climate researchers. Collaboration may involve co-developing models, sharing datasets, and jointly publishing research findings. Many institutions encourage postdocs to participate in grant writing, workshops, and conferences, which can further expand professional networks and lead to new collaborative projects. This collaborative environment helps postdocs develop diverse skill sets and build a strong foundation for future independent research or academic positions.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in ecological modeling?

To excel as a Postdoctoral Researcher in Ecological Modeling, you need a Ph.D. in ecology, environmental science, or a related field, with strong quantitative and analytical skills. Experience with statistical modeling software (such as R or Python), GIS applications, and ecological simulation tools is typically required. Strong communication, problem-solving abilities, and collaborative teamwork are essential soft skills in this role. These competencies are crucial for developing robust ecological models, interpreting complex data, and effectively sharing findings with scientific and stakeholder communities.

What is the difference between Postdoctoral Position Ecological Modeling vs Postdoctoral Position Conservation Biology?

AspectPostdoctoral Position Ecological ModelingPostdoctoral Position Conservation Biology
Required CredentialsPh.D. in Ecology, Environmental Science, or related field; strong quantitative skillsPh.D. in Ecology, Conservation Biology, or related field; focus on fieldwork and policy
Work EnvironmentResearch labs, computational settings, data analysisField sites, research institutions, policy agencies
Employer & Industry UsageUniversities, research institutes, government agencies

Postdoctoral Position Ecological Modeling focuses on developing and applying computational models to understand ecological systems, while Postdoctoral Position Conservation Biology emphasizes field research and policy work to protect species and habitats. Both roles require a Ph.D. and are common in academic and research settings, but differ in their primary methods and focus areas.

What are popular job titles related to Postdoctoral Position Ecological Modeling jobs in New York?

For Postdoctoral Position Ecological Modeling jobs in New York, the most frequently searched job titles are:

What job categories do people searching Postdoctoral Position Ecological Modeling jobs in New York look for?

The top searched job categories for Postdoctoral Position Ecological Modeling jobs in New York are:

What cities in New York are hiring for Postdoctoral Position Ecological Modeling jobs?

Cities in New York with the most Postdoctoral Position Ecological Modeling job openings:

$65K - $72K/yr

Full-time

Re-posted 20 days ago


Research Foundation of the City University of New York rating

7.8

Company rating: 7.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

143rd of 781 rated non-profit organizations


Job description

Thank you for considering a career with the Research Foundation of The City University of New York (RFCUNY).
The team at RFCUNY is made up of dedicated, talented professionals committed to providing the services that allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries.
We are pleased that you are interested in exploring opportunities to join RFCUNY.
Primary Location:
NYC COLLEGE OF TECHNOLOGY
Bargaining Unit:
No
The Center for Remote Sensing and Earth System Sciences (ReSESS)- City Tech, in collaboration with the Research Foundation of the City University of New York (RFCUNY), seeks a highly motivated Postdoctoral Research Associate to join an interdisciplinary research team focused on aquatic remote sensing and machine learning. The successful candidate will develop and apply advanced computational and remote-sensing approaches to study water-quality parameters and physical properties of inland aquatic systems using both satellite and drone-based imagery.
This position supports a collaborative research effort involving City Tech and external partner institutions. The project integrates multi-sensor data from satellites (e.g., Landsat, Sentinel-2) and unmanned aerial vehicles (UAVs) to improve understanding of how surface-water characteristics vary in response to climatic, geomorphological, and ecological factors. Research activities include the development and validation of methods for extracting and analyzing surface temperature, optical water-quality indicators, and other physical parameters, as well as the application of machine-learning tools for spatiotemporal analysis.
The Postdoctoral Research Associate will also contribute to data integration, quality assurance procedures (QAPP/DUAR standards), and scholarly dissemination through peer-reviewed publications, technical reports, and conference presentations.
  • Conduct research applying remote sensing, drone image analysis, and machine learning to assess water quality parameters and physical properties of lakes and reservoirs.
  • Develop, refine, and test computational workflows for processing and integrating multi-sensor datasets from satellite and UAV platforms.
  • Implement and document quality-assurance procedures and validation protocols for environmental datasets.
  • Prepare and submit manuscripts, progress reports, and conference presentations.
  • Collaborate with faculty, students, and partner institutions on data synthesis and dissemination.
  • Mentor undergraduate or graduate student researchers and contribute to proposal development for future research initiatives.

Additional Information
  • Start Date: March, 1, 2026
  • Appointment Duration: One year, renewable contingent upon performance and funding availability.
  • Worksite: New York City College of Technology, Brooklyn, NY
  • Expected Travel: Occasional travel (12 times per year) to research meetings or scientific conferences.

Other Duties
  • Engage with the CUNY research community to support interdisciplinary collaboration.
  • Assist with data curation, management, and documentation for consortium use.
  • Perform other related duties as assigned.

Minimum Qualifications:
  • Ph.D. in Environmental Science, Remote Sensing, or a closely related field (awarded by start date).
  • Demonstrated experience with satellite or drone remote sensing for environmental or aquatic systems.
  • Proficiency in scientific programming (Python, R, or equivalent).
  • Knowledge of machine-learning methods applied to environmental or geospatial data.
  • Excellent writing, analytical, and communication skills, with a record of scholarly publications.

Preferred Qualifications:
  • Experience with Python-based cloud computing or high-performance computing environments.
  • Background in hydrology, limnology, or biogeochemistry.
  • Experience mentoring students and working within interdisciplinary research teams.
  • Ability to travel and present research at professional conferences.

Pay Range:
$65,000 - $72,000
RFCUNY Benefits
RFCUNY Employee Benefits and Accruals
Equal Employment Opportunity Statement
The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.

What Research Foundation of the City University of New York employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom