ZipRecruiter

Log In

1

Mathematical Modeling Postdoc Jobs in California

previous pagenext page

Showing results 21-40

All JobsMathematical Modeling Postdoc JobsMathematical Modeling Postdoc Jobs in California

Mathematical Modeling Postdoc information

What is the difference between Mathematical Modeling Postdoc vs Data Scientist?

AspectMathematical Modeling PostdocData Scientist
Required CredentialsPhD in Mathematics, Applied Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; PhD preferred
Work EnvironmentAcademic research institutions, universities, research labsCorporate, tech companies, startups, or consulting firms
Industry UsageResearch projects, academic publications, grant-funded studiesBusiness analytics, product development, data-driven decision making
Common Search & ComparisonYesYes

While both roles involve analytical skills and data handling, Mathematical Modeling Postdocs focus on academic research and developing theoretical models, whereas Data Scientists apply data analysis techniques to solve practical business problems. The choice depends on whether you prefer research-oriented work or industry applications.

What does a mathematical modeling postdoc do?

A Mathematical Modeling Postdoc conducts advanced research using mathematical techniques to analyze and solve complex real-world problems in fields such as biology, engineering, physics, or social sciences. They typically develop and apply mathematical models, run simulations, analyze data, and interpret results to support scientific or industrial projects. Postdocs in this role often collaborate with interdisciplinary teams, publish research findings, and may also assist in mentoring students or contributing to grant proposals.

What are some common challenges faced by mathematical modeling postdocs when transitioning from academic research to collaborative industry projects?

Mathematical Modeling Postdocs often encounter challenges when moving from academic research to industry settings, particularly in adapting to faster-paced timelines and working within interdisciplinary teams. In industry, projects may require quick prototyping and the ability to communicate complex mathematical concepts to non-experts, such as engineers or business stakeholders. Building effective collaborations and aligning research goals with organizational objectives can also be a significant adjustment. However, these challenges provide valuable experience and broaden career prospects in both academia and industry.

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

A Mathematical Modeling Postdoc requires an advanced degree (typically a PhD) in mathematics, applied mathematics, or a related quantitative field, along with strong analytical and problem-solving abilities. Expertise with programming languages such as Python, MATLAB, or R, and experience with simulation software or computational tools, are commonly expected. Strong communication, collaboration, and critical thinking skills help in presenting findings and working effectively within research teams. These competencies are vital for developing robust models, interpreting complex data, and contributing to innovative research outcomes.
What are popular job titles related to Mathematical Modeling Postdoc jobs in California? For Mathematical Modeling Postdoc jobs in California, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling Postdoc jobs in California look for? The top searched job categories for Mathematical Modeling Postdoc jobs in California are:
What cities in California are hiring for Mathematical Modeling Postdoc jobs? Cities in California with the most Mathematical Modeling Postdoc job openings:
Mathematical Modeling Postdoc jobs near you
Infographic showing various Mathematical Modeling Postdoc job openings in California as of August 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 100% In-person job distribution.

Postdoctoral Fellow: Climate Responses of Ecosystems and Communities

Carnegie Science

Pasadena, CA • On-site

$53K - $72K/yr

Full-time

Posted 9 days ago

Job description

Description
The Carnegie Institution for Science invites applications for the Queen Family Postdoctoral Fellowship in Climate Change, based in Carnegie's Division of Biosphere Science and Engineering, located on the Caltech Campus. The selected fellow will join a collaborative team of scientists working to understand how ecosystems on land respond to environmental conditions (and changes), to better represent those responses in models, and to build understanding of pathways to a more sustainable society. The fellow will work under the guidance of Senior Staff Scientist Dr. Jeff Dukes.
There is some flexibility in the specific work of the Postdoctoral Fellow, but in general the successful applicant will be expected to examine the influence of microclimates on vegetation, the influence of vegetation on microclimates, and the ways in which microclimates' effects on ecosystem processes scale up to the landscape level and beyond. The fellow can take advantage of ongoing data collection at field sites in northern California, and could become involved in local fieldwork, and/or use land models, remotely sensed datasets, and global databases to examine the importance of microclimatic influences from the local to the global level, in natural and/or urban settings. The fellow may also participate in international collaborative projects related to the MC3 4 Earth Center. We will be looking for candidates who have interest in being involved in some level of fieldwork and some level of modeling. The exact mix of these is flexible, and to be determined.
Responsibilities:
  • Work closely and collaboratively with other scientists to design, implement, and summarize experiments and analyses that explore microclimatic heterogeneity and its implications for ecosystem processes, from local to global scales;
  • Publish results in high-quality, peer-reviewed journals;
  • Present results at conferences and seminars.

This project will be based on the Caltech campus; the Fellow will be expected to work on site. The initial appointment will be for one year, but can be extended based on performance and funding availability. The position is available starting September 14, 2026, but the starting date is flexible. Informal inquiries and questions about the position should be directed to Jeff Dukes (e-mail: jdukes@carnegiescience.edu ).
Postdoctoral Fellows at Carnegie have access to valuable research resources to launch successful scientific careers in and beyond academia, including technical support staff, research equipment, and computing/IT resources. Opportunities to partner with other Carnegie scientists may also be available depending on the Fellow's interests. Carnegie seeks to provide a culture of mentoring and professional development for all postdoctoral scientists; funding is available for travel to scientific conferences, and additional professional development/training programs are offered internally.
Qualifications
  • Ph.D. in biology, earth system science, or a related field;
  • Excellent mathematical skills and basic computer programming;
  • Working familiarity with a land surface model and/or its components;
  • Excellent written and oral communication skills;
  • Evidence of ability to work independently and in teams;
  • Commitment to a collegial and inclusive workplace.
  • Familiarity with geographical information systems would also be a benefit.

Application Instructions
Applications will only be considered when submitted through our application portal (see blue bar below). Applicants are required to submit a cover letter, CV, and the names and contact information of at least three professional references.

Apply