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Postdoctoral In Bayesian Statistics Jobs in Louisiana

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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.

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 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 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 Louisiana? For Postdoctoral In Bayesian Statistics jobs in Louisiana, the most frequently searched job titles are:
What cities in Louisiana are hiring for Postdoctoral In Bayesian Statistics jobs? Cities in Louisiana with the most Postdoctoral In Bayesian Statistics job openings:
Postdoctoral Researcher

Postdoctoral Researcher

Louisiana State University

Baton Rouge, LA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.
Job Posting Title:
Postdoctoral Researcher
Position Type:
Other Academic
Department:
LSUAM Engineering - CE - Intelligent Transportation Systems (Hany Hassan (00060355))
Work Location:
3255 Patrick F. Taylor Hall
Pay Grade:
Other Academic
Job Description:
Job Summary:
The Postdoctoral Research Associate will contribute to advancing research activities in transportation engineering, with emphasis on traffic safety, road user behavior, traffic operations, and intelligent transportation systems. The position will support the development of competitive research proposals to secure state and federal funding, lead the preparation of high-quality manuscripts for publication in peer-reviewed journals, and contribute to dissemination of research findings at national conferences. The appointee will also assist in supervising graduate students, provide technical guidance on data-driven and AI-based safety analyses, and support ongoing research projects aligned with the Center's objectives. The position is designed to strengthen the group's research productivity, enhance interdisciplinary collaboration, and expand externally funded research in transportation safety and operations.
Roles and Responsibilities:
  • Research Development & Execution: Design and conduct research in transportation engineering with focus on traffic safety, road user behavior, traffic operations, connected and automated vehicles (CAVs), and intelligent transportation systems (ITS). 25%
  • Proposal Development: Lead and contribute to competitive research proposals for state and federal funding (USDOT, FHWA, NSF, NCHRP, LTRC, etc.). 25%
  • Data Analysis & Modeling: Perform advanced statistical analysis, safety modeling (e.g., crash modeling, CMFs), AI/ML applications, simulation, and large-scale data processing. 15%
  • Scholarly Publications: Lead preparation and submission of peer-reviewed journal manuscripts; contribute to TRB papers and conference presentations. 15%
  • Graduate Student Mentorship: Support faculty in supervising MS and PhD students; provide guidance on methodology, analysis, and academic writing. 8%
  • Project Management Support: Assist with project coordination, milestone tracking, progress reporting, and sponsor deliverables. 5%
  • Technology Transfer & Outreach: Support preparation of technical reports, practitioner guidelines, workshops, and agency presentations. 4%
  • Collaboration & Administrative Support: Participate in interdisciplinary collaboration, meetings with partners, and limited grant administration coordination. 3%

Minimum Qualifications:
  • Terminal Degree: PhD in Transportation Engineering
  • Specific Experience: Experience in transportation safety and operations research, crash data analysis, advanced statistical modeling, GIS applications, research proposal development, peer-reviewed publication, and graduate student research support.

Preferred Qualifications:
  • Terminal Degree: PhD in Transportation Engineering
  • Specific Experience: Proven research experience in transportation safety and traffic operations, crash data analytics, advanced statistical and econometric modeling, GIS-based spatial analysis, competitive research proposal development, peer-reviewed scholarly publication, and active support of graduate student research and mentoring. Over 3-5 years of experience in transportation engineering.
  • Preferred Certifications/Licenses: Professional Engineer (P.E.) license or Engineer-in-Training (E.I.T.) certification.

Physical Demands:
  • Bending, Crawling Twisting, Push/Pulling, Climbing, Squatting, Lifting under and over 50 lbs. will be occasionally up to 33% of the time.
  • Standing and vision will require up to 66% of the time.
  • Sitting, walking, reaching above and below shoulder will require 33-66% of the time.
  • This position will require a physical examination based on the physical demands required

Additional Job Description:
Special Instructions:
Please submit CV, 3 references, and statement of research philosophy with application. Original transcripts, approved background check, and RS-17 background are required prior to hire. For questions or concerns regarding the status of your application, salary ranges, or other details pertaining to the position please contact Dr. Hany Hassan at hassan1@lsu.edu.
Posting Date:
March 27, 2026
Closing Date (Open Until Filled if No Date Specified):
April 10, 2026
Additional Position Information:
Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.
Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!
Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.
Essential Position (Y/N):
LSU is an Equal Opportunity Employer.
All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university's ability to employ individuals in certain positions.
HCM Contact Information:
For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.