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Postdoctoral In Computational Ecology Jobs (NOW HIRING)

$55K - $74K/yr

Premila's research group ( at Saint Louis University invites applicants for a postdoctoral research associate position in computational biophysics. The successful candidate will lead project(s ...

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering The Chemical ... Proficiency in computational tools such as MATLAB, Pyt Salary range In compliance with NYC's Pay ...

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Postdoctoral In Computational Ecology information

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$25K

$59K

$83.5K

How much do postdoctoral in computational ecology jobs pay per year?

As of Jun 7, 2026, the average yearly pay for postdoctoral in computational ecology 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 are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Computational Ecology, and why are they important?

To thrive as a Postdoctoral Researcher in Computational Ecology, you need a solid background in ecology, advanced statistical analysis, and strong programming skills, typically supported by a PhD in ecology, biology, or a related field. Proficiency with statistical software (such as R or Python), spatial analysis tools (like GIS), and experience with high-performance computing are often required. Excellent problem-solving abilities, collaboration, and scientific communication skills help you effectively share findings and work within interdisciplinary teams. These competencies are crucial for advancing ecological research, interpreting complex data, and contributing valuable insights to the scientific community.

What is the difference between Postdoctoral In Computational Ecology vs Postdoctoral In Ecology?

AspectPostdoctoral In Computational EcologyPostdoctoral In Ecology
Required CredentialsPh.D. in Ecology, Environmental Science, or related field; strong programming skillsPh.D. in Ecology, Environmental Science, or related field; research experience in fieldwork or data analysis
Work EnvironmentResearch labs, computational centers, often interdisciplinary teamsField sites, research labs, academic institutions
Employer & Industry UsageUniversities, research institutes, government agencies focusing on ecological modelingUniversities, conservation organizations, government agencies conducting ecological research

Postdoctoral In Computational Ecology typically emphasizes programming, modeling, and data analysis within computational environments, while Postdoctoral In Ecology may focus more on fieldwork, experimental design, and ecological data collection. Both roles require a Ph.D. and are common in academic and research settings, but they differ mainly in their focus areas and work environments.

What are the typical collaboration opportunities for a Postdoctoral Researcher in Computational Ecology within an academic setting?

As a Postdoctoral Researcher in Computational Ecology, you’ll frequently collaborate with interdisciplinary teams, including field ecologists, data scientists, and environmental policy experts. Your role often involves integrating large datasets, developing models, and co-authoring papers, so strong communication with both computational and non-computational colleagues is essential. Many research groups also offer opportunities to mentor graduate students, contribute to grant proposals, and participate in international collaborations, which can further enhance your professional network and open doors for future academic or industry positions.

What does a Postdoctoral Researcher in Computational Ecology do?

A Postdoctoral Researcher in Computational Ecology applies computational methods, such as mathematical modeling, data analysis, and simulation, to study ecological systems and processes. They work on projects that analyze large datasets, develop predictive models, and collaborate with interdisciplinary teams to answer complex ecological questions. Their research often informs conservation efforts, environmental policy, and our understanding of how ecosystems respond to changes like climate change or human activity.
Infographic showing various Postdoctoral In Computational Ecology job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 78% Full Time, and 21% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Research Position in Computational Physics at Harvard University

Postdoctoral Research Position in Computational Physics at Harvard University

Harvard University

Cambridge, MA • On-site

$67K - $80K/yr

Full-time

Posted 21 days ago


Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

131st of 534 rated colleges and universities


Job description

Position
Details
Title
Postdoctoral Research Position in Computational Physics at Harvard University
School
Faculty of Arts and Sciences
Department/Area
Physics
Position Description
Postdoctoral Research Position in Computational Physics at Harvard University
The group of Professor Efthimios Kaxiras (Physics/SEAS) expects to appoint one postdoctoral fellow beginning in February 2026. We are looking for candidates with interests in multiscale simulations of complex physical phenomena, from the atomistic/electronic scale to mesocopics and beyond. Of particular interest is the development and application of methodologies suited for simulations of biological systems, including DNA and histone interactions.
Candidates should also arrange for letters of recommendation to be submitted by up to three scientists familiar with their work. Candidates may also wish to include selected preprints or reprints of articles they have written.
Candidate materials must include a CV and statement of research, in addition to the letters of recommendation.
Salary Range - Postdocs: $67,600-$80,000
Pay offered to the selected candidate is dependent on factors such as years of experience, training or qualification, field of scholarship, and accomplishments in the field for candidates with recent PhD (within 1 year of application).
Applications and supporting materials should arrive by
23 January 2026, for full consideration. However later applications may also be considered on a rolling basis.
Basic Qualifications
Candidates for this position must have completed their Ph.D. degree by the appointment start date and demonstrate outstanding research in computational physics for modeling of complex physical phenomena.
Additional Qualifications
Candidates must have experience in carrying out large-scale computational modeling of complex systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning approaches, and performing coarse-graining to obtain effective models at various scales.
Special Instructions
Contact Information
Jason Eldridge
https://www.physics.harvard.edu/
Harvard Physics Department
17 Oxford Street
Cambridge, MA 02138
Contact Email
jason_eldridge@fas.harvard.edu
Salary Range
$67,600
Minimum Number of References Required
2
Maximum Number of References Allowed
3
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