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Postdoctoral In Bayesian Statistics Jobs in Arizona

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Statistics Graduate Level Tutor

Tempe, AZ · Remote

$18 - $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 ...

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Statistics Graduate Level Tutor

Mesa, AZ · Remote

$18 - $40/hr

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Statistics Graduate Level Tutor

Phoenix, AZ · Remote

$18 - $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 ...

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Statistics Graduate Level Tutor

Tucson, AZ · Remote

$18 - $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 ...

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Statistics Graduate Level Tutor

Gilbert, AZ · Remote

$18 - $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 ...

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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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Postdoctoral In Bayesian Statistics jobs near you
Postdoctoral Research Associate I (UPDATED)

Postdoctoral Research Associate I (UPDATED)

University of Arizona

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 26 days ago

University Of Arizona rating

7.1

Company rating: 7.1 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

352nd of 539 rated colleges and universities

Job description

Postdoctoral Research Associate I (UPDATED)
Posting Number
req25860
Department
James C Wyant Coll Optical Sci
Department Website Link
Location
Tucson Campus
Address
Tucson, AZ USA
Position Highlights
Note: The target start date has been updated to June 22, 2026.
We are seeking a highly motivated Postdoctoral Researcher in Optical Engineering to join our research group at James C Wyant College of Optical Sciences, the University of Arizona. The position focuses on optical metrology, precision fabrication, and system integration, with an emphasis on developing advanced optical systems for emerging imaging applications.
Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.
Duties & Responsibilities
  • Design and implement optical metrology systems (e.g., interferometry, profilometry, wavefront sensing)
  • Develop algorithms for optical metrology, including phase retrieval, surface reconstruction, and error analysis
  • Perform high-accuracy measurement and quantitative characterization of optical surfaces and components
  • Build data processing pipelines for metrology, including automation and statistical analysis
  • Support optical system validation, alignment, and performance testing
  • Collaborate with interdisciplinary teams and contribute to publications

Minimum Qualifications
  • Ph.D. in Optical Engineering, Optics. Applied Physics, or related field upon hire
  • Strong background in optical metrology (e.g., interferometry, surface characterization, wavefront sensing)
  • Hands-on experience with optical instrumentation and experimental methods
  • Strong experience in data analysis and modeling
  • Demonstrated track record of peer-reviewed publications

Preferred Qualifications
  • Experience with precision optical fabrication methods (e.g., diamond turning, polishing)
  • Experience with freeform or aspheric optics characterization
  • Experience with optical system alignment and performance evaluation
  • Demonstrate knowledge of error budgeting and tolerance analysis
  • Experience with integrating metrology into fabrication or system development workflow

FLSA
Exempt
Full Time/Part Time
Full Time
Number of Hours Worked per Week
40
Job FTE
1.0
Work Calendar
Fiscal
Job Category
Research
Benefits Eligible
Yes - Full Benefits
Rate of Pay
NIH salary guidelines, Depends on Experience.
Compensation Type
salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Number of Vacancies
1
Target Hire Date
6/22/2026
Expected End Date
12/31/2026
Contact Information for Candidates
HR-OPSC@arizona.edu
Open Date
5/1/2026
Open Until Filled
Yes
Documents Needed to Apply
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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