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Postdoctoral In Bayesian Statistics Jobs in Virginia

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

Postdoctoral Associate Apply now Back to search results Job no: 535769 Work type: Research Faculty ... record in peer-reviewed journals Strong analytical stills, including the use of statistical ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

Postdoctoral Associate Apply now Back to search results Job no: 535824 Work type: Research Faculty ... record in peer-reviewed journals Strong analytical stills, including the use of statistical ...

Varsity Tutors

Statistics Graduate Level Tutor

Salem, VA · Remote

$40/hr

... In a Statistics Graduate Level Tutor * Advanced Subject Mastery: Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

The position involves conducting research in federated learning, and network optimization for 6G ... statistical learning theory to software defined radio (e.g., USRP) prototypes. The Bradley ...

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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 June 2026, with employment types broken down into 4% Locum Tenens, 18% Full Time, 5% Part Time, 69% Contract, and 4% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Postdoctoral Associate

Postdoctoral Associate

Virginia Tech

Blacksburg, VA

Other

Posted 23 hours ago

Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

192nd of 538 rated colleges and universities

Job description

Postdoctoral Associate

Apply now Back to search results Job no: 535882
Work type: Research Faculty
Senior management: College of Science
Department: Psychology
Location: Blacksburg, Virginia
Categories: Research / Scientific

Job Description

Applications are invited for an NIH-funded postdoctoral position in the JK Lifespan Development lab of Dr. Jungmeen Kim-Spoon, in the Department of Psychology at Virginia Tech (http://www.psyc.vt.edu/labs/jklifespan/). Research in the lab integrates developmental psychopathology and decision neuroscience approaches to investigate emotion, cognition, and personality processes, brain function, psychopathology and health risk behaviors in adolescents and young adults. We use a variety of methods including behavioral tasks, interviews, questionnaires, and functional magnetic resonance imaging to understand developmental trajectories of risk and protective mechanisms that contribute to health and adjustment.

Responsibilities will include (1) conducting advanced statistical analyses and modeling of behavioral and neuroimaging data for scholarly publication, and (2) contributing to ongoing longitudinal data collection and data processing, mentoring graduate and undergraduate students, and supervising the research coordinator.

Required Qualifications

Ph.D. in psychology, neuroscience, or a closely related field.  PhD awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.

Demonstrated proficiency in structural equation modeling and longitudinal data analysis
Demonstrated proficiency in SPSS, Mplus, and R
Experience with functional magnetic resonance imaging (fMRI) acquisition and analysis
Experience conducting research with adolescents, young adults, and their families

 

Overtime Status

Exempt: Not eligible for overtime

Appointment Type

Restricted

Salary Information

Commensurate with experience

Hours per week

40 hours - exempt position

Review Date

04/06/2026

Additional Information

The successful candidate will be required to have a criminal conviction check.

About Virginia Tech

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.

Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance.  These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact Michelle Wooddell at mwooddel@vt.edu during regular business hours at least 10 business days prior to the event.

Advertised: March 23, 2026
Applications close:

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About Virginia Tech

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Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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