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$27.5K

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How much do mathematical computational modeling postdoc jobs pay per year?

As of Sep 11, 2026, the average yearly pay for mathematical computational modeling postdoc in the United States is $56,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What is a mathematical computational modeling postdoc?

A Mathematical Computational Modeling Postdoc is a research position typically held after completing a PhD, focusing on developing and applying mathematical models and computational techniques to solve complex problems. These postdocs work in multidisciplinary teams, often in fields like biology, physics, engineering, or finance, using simulations, data analysis, and algorithm development. Their role involves designing experiments, analyzing large datasets, publishing research findings, and sometimes mentoring students. The goal is to advance scientific understanding and contribute to innovative solutions through quantitative and computational approaches.

What are the key skills and qualifications needed to thrive as a mathematical computational modeling postdoc?

To thrive as a Mathematical Computational Modeling Postdoc, you need a PhD in applied mathematics, computational science, or a related field, along with deep knowledge of mathematical modeling and numerical methods. Expertise with programming languages such as Python, MATLAB, or C++, and experience using simulation software or high-performance computing resources, are typically required. Strong problem-solving abilities, effective communication, and the capacity to collaborate across disciplines set outstanding candidates apart. These skills ensure you can develop, implement, and communicate complex models that advance research goals and support cross-functional teams.

What are some common challenges faced by mathematical computational modeling postdocs when working on interdisciplinary research projects?

Mathematical Computational Modeling Postdocs often collaborate with experts from diverse fields such as biology, engineering, or physics, which can present challenges in aligning methodologies and communication styles. Adapting complex mathematical models to real-world data and experimental constraints requires flexibility and strong problem-solving skills. Additionally, balancing independent research with collaborative project timelines and expectations is key, as the role typically involves both contributing specialized knowledge and learning from other disciplines. Proactive communication and openness to feedback are essential for overcoming these challenges and ensuring successful project outcomes.

What are popular job titles related to Mathematical Computational Modeling Postdoc jobs?

For Mathematical Computational Modeling Postdoc jobs, the most frequently searched job titles are:

Infographic showing various Mathematical Computational Modeling Postdoc job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $56,723 per year, or $27.3 per hour.

Postdoctoral Fellow in Computer Science

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 18 days 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 Fellow in Computer Science
School
Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Computer Science
Position Description
The Embodied Minds lab is seeking a Postdoctoral Fellow with training and proficiency in artificial intelligence, and generative modeling. Successful candidates will have significant experience in computational modeling and AI. This position will include:
  • Developing new Generative AI algorithms for developing intelligent agents in areas such as planning, exploration, perception, physical reasoning, and memory..
  • Theoretically understanding and constructing novel generative models.
  • Applications of AI to scientific settings.

Basic Qualifications
PhD in Computer Science, Mathematics, Physics, Engineering or the equivalent
Additional Qualifications
Special Instructions
A current CV and 2-3 letters of recommendation are required.
Contact Information
Yilun Du
Contact Email
ydu@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
Maximum Number of References Allowed
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