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Postdoctoral In Bayesian Statistics Jobs in Plainfield, IL

Volatility Trader

Chicago, IL · On-site

$150K - $200K/yr

Strong practical foundation in options theory and Bayesian statistics/probability. * Strong analytical judgment under uncertainty; able to operate decisively under constraints. * Precise technical ...

Proven experience with statistical analysis including causal inference (e.g., randomized control trials, quasi-experimentation such as synthetic control, diff-in-diff, meta-analyses), and/or bayesian ...

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

Showing results 21-40

Postdoctoral In Bayesian Statistics information

See Plainfield, IL salary details

$24.4K

$57.5K

$81.4K

How much do postdoctoral in bayesian statistics jobs pay per year?

As of Sep 14, 2026, the average yearly pay for postdoctoral in bayesian statistics in Plainfield, IL is $57,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $64,800.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a postdoctoral researcher in Bayesian statistics?

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.

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 cities near Plainfield, IL are hiring for Postdoctoral In Bayesian Statistics jobs?

Cities near Plainfield, IL with the most Postdoctoral In Bayesian Statistics job openings:

Infographic showing various Postdoctoral In Bayesian Statistics job openings in Plainfield, IL as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $57,529 per year, or $27.7 per hour.

Assistant Professor, Department of Statistics

Chicago, IL • On-site

$13K - $165K/yr

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Assistant Professor, Department of Statistics

Department of Statistics, Physical Sciences Division
Position Type: Faculty
Salary Range: $135,00-$165,000; This base pay range is for a nine-month academic appointment. Individuals may be eligible for summer salary.
Chicago

Sep 7, 2026

Description

The University of Chicago Department of Statistics invites applications for a tenure-track faculty position at the rank of Assistant Professor. The search is open to any area in the field of Statistics, broadly defined.

The University of Chicago has the highest standards for scholarship and faculty quality, is dedicated to fundamental research, and has an inherently interdisciplinary structure that is very supportive of newly emerging research opportunities.

Qualifications
  • Completion of all requirements for the PhD in statistics or some field of computer science, mathematics, or other areas where statistical concepts or methods play an important role.

Preferred qualifications:

  • At least one year of university-level teaching experience, such as, but not limited to, a TA or instructor of record;
  • At least two years of experience as a postdoctoral researcher.

This position may be eligible for a taxable moving allowance.

This position is benefits-eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook .

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University'sNotice of Nondiscrimination .

Job seekers in need of a reasonable accommodation to complete the application process should call 773-834-3988 or emailequalopportunity@uchicago.edu with their request.

The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.

The University of Chicago is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

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