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Postdoctoral In Bayesian Statistics Jobs in Virginia

Mindlance

Senior Data Scientist

Mclean, VA · On-site

Implementing statistical models in efficient software languages, coding model prototypes for ... Bayesian methods, derivatives, or Monte Carlo methods * Coursework or work experience writing ...

eSolutionsFirst, LLC

Data Scientist Senior

Mclean, VA · On-site

Implementing statistical models in efficient software languages, coding model prototypes for ... Bayesian methods, derivatives, or Monte Carlo methods * Coursework or work experience writing ...

Berkley

Senior Data Scientist

Glen Allen, VA · On-site

Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes ... Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a ...

New

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal ...

General Atomics

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

Strong foundation in probability and statistics, stochastic processes, estimation theory ... Familiarity with Kalman filtering, nonlinear filtering, Bayesian estimation, probabilistic data ...

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Postdoctoral In Bayesian Statistics information

What is a Postdoctoral position in Bayesian Statistics?

A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.

What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?

Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.

What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?

AspectPostdoctoral In Bayesian StatisticsPostdoctoral In Data Science
Required CredentialsPhD in Statistics, Mathematics, or related fieldPhD in Computer Science, Statistics, or related field
Work EnvironmentAcademic research, university labsResearch institutions, tech companies, industry labs
Employer & Industry UsageUniversities, research institutesTech firms, finance, healthcare, consulting
Common Search & Comparison IntentSpecialized research roles in Bayesian methodsBroader data analysis and machine learning roles

Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Bayesian Statistics, and why are they important?

To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.
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Infographic showing various Postdoctoral In Bayesian Statistics job openings in Virginia as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.
Research Associate in Mechanical and Aerospace Engineering

Research Associate in Mechanical and Aerospace Engineering

University of Virginia

Charlottesville, VA • On-site

$47K - $90K/yr

Full-time

Posted 16 days ago

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

181st of 555 rated colleges and universities

Job description

The Computational Fluid Dynamics (CFD) and Propulsion Laboratory in the Department of Mechanical and Aerospace Engineering at University of Virginia is seeking a qualified candidate for a Postdoctoral Research Associate position.
Research in the laboratory focuses on high-performance computing (HPC) methods in CFD, advanced algorithm development, data assimilation and scientific machine learning. The successful candidate will contribute to the development of advanced numerical algorithms for large-scale CFD modeling and simulations, including scalable solvers, domain decomposition methods, and data-driven and physics-driven learning techniques.
The Postdoctoral Research Associate will work as an algorithm developer within the CFD and Propulsion Laboratory and will be responsible for the development, implementation, and analysis of efficient numerical methods for next-generation CFD applications on HPC platforms.
Qualification Requirements
By the start date, applicants must have earned a PhD in Mathematics or Statistics or other related field, and be within 5 years post-PhD. Candidates should demonstrate research experience in a few of the following areas:
  • CFD methods, numerical methods and analysis, stability analysis
  • Scalable solvers, and domain decomposition methods
  • C++ programming, parallel programming
  • Stochastic partial differential equations (PDEs), stochastic processes and analysis
  • Model reduction, surrogate model development
  • Uncertainty quantification

Preferred Qualifications
Preference will be given to candidates with additional expertise in:
  • AI/ML
  • Supercomputing
  • Peer-reviewed publications in computational mathematics and/or computational/numerical methods

Salary
The anticipated hiring base salary is $53,000.
Application Procedure
Apply online through the UVA Job Board and search for position number R0083690.
Applicants should upload:
  • A cover letter
  • Curriculum vitae
  • Contact information for three professional references

Please note that multiple documents may be uploaded in the application portal.
Application Deadline
Review of applications will begin on June 2, 2026; however, the position will remain open until filled. The University will perform background checks on all new hires prior to employment.
This is a one-year appointment. Renewal is contingent upon available funding and satisfactory performance.
Estimated salary range is $47,500 - $90,000, commensurate with experience.
Questions regarding this position should be directed to Professor Xinfeng Gao at gao@virginia.edu .
For questions about the application process, please contact Richard Haverstrom, Academic Recruiter, at rkh6j@virginia.edu .
For more information on the benefits available to Research Associate at UVA, visit hr.virginia.edu/benefits.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

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Headquarters location

Charlottesville, VA, US

Year founded

1819

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