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Postdoctoral Position Ecological Modeling Jobs (NOW HIRING)

GO-Energy Geosciences

Postdoctoral Scholar

Bodega Bay, CA · On-site

$69K - $107K/yr

... position utilizing universal potentials, machine learning interatomic potentials, atomistic ... Data analysis, scientific model development, and machine control in Python, C++, or other common ...

ExxonMobil

Post Doctorate Research Associate

Spring, TX · On-site +1

... modeling, hydrogeologic systems, ecological monitoring, and geospatial analytics. This role ... This opportunity is for a postdoctoral position expected to last one to three years, subject to ...

ExxonMobil

Post Doctorate Research Associate

Spring, TX · On-site +1

... modeling, hydrogeologic systems, ecological monitoring, and geospatial analytics. This role ... This opportunity is for a postdoctoral position expected to last one to three years, subject to ...

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How much do postdoctoral position ecological modeling jobs pay per year?

As of Sep 14, 2026, the average yearly pay for postdoctoral position ecological modeling in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

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.

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Postdoctoral Position Ecological Modeling jobs near you
Infographic showing various Postdoctoral Position Ecological Modeling job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.

Postdoctoral position in AI for Engineering Applications

Cambridge, MA • On-site

Harvard University
Colleges, Universities, and Professional Schools • 51 - 200 employees
Learn more about Harvard Universityexternal

$67K - $91K/yr

Full-time

Re-posted 6 hours ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Position
Details
Title
Postdoctoral position in AI for Engineering Applications
School
Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Applied Math
Position Description
The Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications pertaining to fluid mechanics of turbulent and environmental flows starting September 1, 2025, or as soon thereafter as possible. The position is for one year, with the possibility of renewal for two additional years. The candidate will work closely with Professor Petros Koumoutsakos cse-lab.harvard.edu.
Basic Qualifications
Doctoral degree. Applicants background may include studies in: Computational Science, Computer Science, Applied Mathematics, Engineering and Physics.
Additional Qualifications
Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly collaborative and international environment.
Special Instructions
Contact Information
For further information, please contact petros@seas.harvard.edu.
Contact Email
lreck@seas.harvard.edu
Salary Range
$67,600 - $91,826
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required
2
Maximum Number of References Allowed
4
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