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Postdoctoral In Bayesian Statistics Jobs in Michigan

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

Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical ... Experience of Bayesian approaches to design and analysis of clinical data preferred. * Experience ...

Job Summary Postdoctoral Fellow in Statistical Genetics and Regulatory Genomics The Parker Lab at the University of Michigan ( is recruiting a Postdoctoral Fellow to lead statistical genetics ...

... 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 ...

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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 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 are popular job titles related to Postdoctoral In Bayesian Statistics jobs in Michigan?

For Postdoctoral In Bayesian Statistics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Michigan look for?

The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Michigan are:

Infographic showing various Postdoctoral In Bayesian Statistics job openings in Michigan as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Postdoctoral Scholar

Houghton, MI • On-site


Michigan Technological University
Colleges, Universities, and Professional Schools • 1 - 5K employees

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Company rating: 8.3 out of 10

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Great coworkers

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$55K - $58K/yr

Full-time

Re-posted 22 days ago


Job description

Postdoctoral Scholar
Job No: 26109
Department: Civil, Environ & Geospatial Engrg
Work Type: Staff - Full Time
Location: Main Campus (Houghton, MI)
Full Time / Part Time: Full Time
Categories: Engineering, Research
Applications Close:
Ensured Consideration Date: August 1,2026
Michigan Technological University is an R1 technological research university founded in 1885 in Houghton. Our rural campus is situated just miles from Lake Superior in Michigan's scenic Upper Peninsula and is home to nearly 7,500 students from more than 60 countries around the world. Consistently ranked among the best universities in the country for return on investment, Michigan's flagship technological university offers more than 185 undergraduate and graduate degree programs. Research focus areas include defense, health, energy, automotive, environment, and aerospace.
The area's waters, forests, and snowfall support year-round recreation, including skiing, snowboarding, hiking, biking, and paddling. The University is an integral part of the region, supported by a friendly and welcoming community that takes pride in being a true college town. We embrace our size, climate, sense of adventure, and originality.
Summary
Professor M. Emin Kutay's research group in the Department of Civil, Environmental, and Geospatial Engineering at Michigan Technological University is seeking a motivated postdoctoral research associate to advance the analysis, quality assurance, and calibration of automated pavement condition data and pavement performance modeling. The successful candidate will contribute to two sponsored research projects: (1) development of an improved calibration and data quality management framework for automated pavement distress collection and processing for the Minnesota Department of Transportation (MnDOT); and (2) validation and recalibration of the Pavement Distress Score (PDS) and associated pavement condition indices and deterioration models for the Michigan Department of Transportation (MDOT). This position is supported by the Minnesota Department of Transportation (MnDOT) and the Michigan Department of Transportation (MDOT).
Responsibilities and Essential Duties
Performing research across two sponsored projects, including: developing and applying statistically based calibration, audit, and validation procedures for automated pavement distress data collection systems; evaluating and recalibrating pavement distress definitions, severity thresholds, distress weight factors, and composite pavement condition indices; assessing pavement deterioration models and network-level condition projection methods; developing and maintaining data analysis tools and processing pipelines in Python; helping with proposal preparation; preparing manuscripts for publication in peer-reviewed journals; and supervising and collaborating with graduate and undergraduate students.
Required Education, Certifications, Licensures
Ph.D. in Civil Engineering. The degree must have been earned within 72 months prior to the beginning of the appointment.
Required Experience
• Six (6) years of research experience in at least three (3) of the following research areas: civil engineering, pavement engineering, pavement distress data collection and analysis, pavement management systems, statistical data analysis, and mechanistic-empirical pavement modeling.
• Experience in publishing research findings in top peer-reviewed journals.
Desirable Education and/or Experience
Strong background in mechanistic-empirical pavement design and asphalt viscoelasticity is desired. Experience with automated pavement distress data, pavement condition indices, or pavement management software is also desirable.
Required Knowledge, Skills, and/or Abilities
Demonstrated ability to communicate effectively across cultural boundaries and work harmoniously with diverse groups of students, faculty, and staff. Strong programming skills in Python.
Desirable Knowledge, Skills, and/or Abilities
• Knowledge of pavement engineering, mechanistic-empirical pavement design, asphalt viscoelasticity, pavement distress and condition data, statistical analysis methods, and pavement management systems.
• Language, Mathematics and/or Reasoning Skills: familiarity with the JAVA programming language is desirable; strong mathematical, statistical, and analytical reasoning skills.
Work Environment and/or Physical Demands
The work environment is that of a typical lab or office setting. The noise level in the work environment is usually low to moderate.
Required Training and Other Conditions of Employment
Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department.
Required University Training:
• Employee Safety Overview
• Anti-Harassment, Discrimination, Retaliation Training
• Annual Data Security Training
• Annual Title IX Training
Background Check:
Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.
J-1 visa sponsorship is available for this position. This is not an E-Verified position. Appointment term: 12 months (renewable, dependent on funding). FLSA status: Exempt. FTE: 100%.
Full-Time Equivalent (FTE) % (1=100%)
1
FLSA Status
Exempt
Appointment Term
12 months
Shift
Pay Rate/Salary
The salary range for this position is $55,000 - $58,000. However, the final salary will depend on experience and qualifications.
Title of Position Supervisor
Department Chair
Posting Type
Internal & External
Dependent on Funding
No
Additional Information
Full ensured consideration will be given to applicants who apply on or before August 1,2026
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
If you require any auxiliary aids, services, or accommodations during Michigan Tech's hiring process please notify the Human Resources office at 906-487-2280 or hr-help@mtu.edu.
Other Conditions of Employment:
Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of your appointment, and maintain eligibility without sponsorship throughout your appointment.
Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. Michigan Tech will provide a paper copy upon request; please contact the Michigan Tech Public Safety.
In compliance with the federal Drug-Free Schools and Communities Act (DFSCA) and its implementing regulations (34 CFR Part 86), Michigan Tech is committed to maintaining a drugfree campus environment and actively promoting the health and safety of its community. Find our notice that outlines the University's policies, legal sanctions, health risks, and available support resources related to the unlawful possession, use, or distribution of illicit drugs and alcohol.
Required Education, Certifications, Licensures* (minimum requirements)
Advertised: 09 Jul 2026 Eastern Daylight Time
Applications Close:
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