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Postdoctoral In Bayesian Statistics Jobs in Iowa

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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?

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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What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Iowa look for? The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Iowa are:
What cities in Iowa are hiring for Postdoctoral In Bayesian Statistics jobs? Cities in Iowa with the most Postdoctoral In Bayesian Statistics job openings:

Postdoctoral Research Position in Agronomy, Soils, and Environment

Iowa State University

Ames, IA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

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


Iowa State University rating

7.2

Company rating: 7.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

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Job description

Position Title:
Postdoctoral Research Position in Agronomy, Soils, and Environment
Appointment Type:
Post Doc/Trainee
Job Description:
Summary of Duties and Responsibilities:
The McDaniel Lab is seeking a highly motivated postdoctoral researcher with scientific creativity, intellectual curiosity, and a strong enthusiasm for learning to join our team at the intersection of agronomy, environmental science, and soil science. The successful candidate will contribute to innovative research on soil-plant interactions while developing new skills in a collaborative and supportive research environment.
Key Responsibilities:
  • Collect soil and plant samples from the field
  • Analyze soil and plant samples in the laboratory
  • Collect data from the literature
  • Analyze and visualize data using advanced statistical approaches
  • Present data at professional meetings
  • Publish research findings in top-tier journals

Come join the McDaniel Lab to hone your existing skills, learn new ones, and contribute to advancing soil-plant interaction science as part of a collegial and dynamic research team.
Required Minimum Qualifications:
  • Ph.D. in Agronomy, Soil Science, Environmental Science, or a closely related field by the start date of the appointment.
  • Demonstrated proficiency in data analysis, statistical modeling, and data visualization using R, Python, or comparable analytical software.
  • Evidence of effective scientific communication through authorship or co-authorship of at least one peer-reviewed publication.

Preferred Qualifications:
  • Demonstrated scientific creativity, intellectual curiosity, and enthusiasm for learning new research approaches and methodologies.
  • Experience analyzing and interpreting spatial datasets using GIS software (e.g., ArcGIS).
  • Experience conducting meta-analyses or applying meta-analytical statistical techniques, preferably demonstrated through a peer-reviewed publication.
  • Experience mentoring, supervising, or training undergraduate students in research, laboratory, or field settings.
  • Experience presenting research findings at professional or scientific conferences.

Department/Program & College Description:
Soil and plants are in a "give-and-take" relationship. The McDaniel Lab focuses on understanding this relationship and using this understanding to make farms more regenerative & sustainable.
Department Unit/Website:
Soil-Plant Interactions in the McDaniel Lab
Application Instructions:
To apply for this position, please click on "Apply" and complete the Employment Application. Please be prepared to enter or attach the following:
Resume/Curriculum Vitae
Letter of Application/Cover Letter
PDF copies of one to three of your most recent publications
Why Choose Iowa State University?
Iowa State Employees enjoy comprehensive health and work-life benefits, including medical and dental, as well as:
  • Retirement benefits including defined benefit and defined contribution plans
  • Generous vacation, holiday, and sick time and leave plans
  • Onsite childcare (Ames, Iowa)
  • Life insurance and long-term disability
  • Flexible Spending Accounts
  • Various voluntary benefits and discounts
  • Employee Assistance Program
  • Wellbeing program
  • Iowa State offers WorkFlex options for some positions. WorkFlex offers flexibility on when, where, and how you do your work. For more information, please speak with the Hiring Manager.

If you have questions regarding this application process, please email employment@iastate.edu, or call 515-294-4800 or Toll Free: 1-877-477-7485.
Proposed Start Date:
August 31, 2026
Number of Months Employed Per Year:
12 Month Work Period
Time Type:
Full time
Pay Grade:
Post Docs
Original Posting Date:
July 22, 2026
Posting Close Date:
August 5, 2026
Job Requisition Number:
R19651
Iowa State University does not discriminate on the basis of race, color, age, ethnicity, religion, national origin, pregnancy, sexual orientation, genetic information, sex, marital status, disability, or status as a U.S. Veteran. Inquiries regarding non-discrimination policies may be directed to Office of Equal Opportunity, 2680 Beardshear Hall, 515 Morrill Road, Ames, Iowa 50011, Tel. 515-294-7612, email eooffice@iastate.edu.
General ISU compensation information can be found on the University Human Resources website. Please note that this is only a list of ranges and individuals will be paid commensurate with qualifications.

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