Postdoctoral Researcher in Population Modelling, University of Kansas, USA

Postdoctoral Position in USA

Postdoctoral Researcher in Population Modelling: A postdoctoral researcher position is available in Dr. Daniel Reuman’s lab at the University of Kansas. This role focuses on computational and statistical analysis of ecological data to enhance understanding of climatic variability’s impact on species geographic ranges and integrating demography and climatic variability into species distribution models. The position offers at least three years of full funding with an expected annual salary range of $58,000-$65,000 and competitive benefits.

Designation: Postdoctoral Researcher

Research Area: Population Modelling, Ecological Data Analysis, Species Distribution Modelling, Climatic Variability

Location: University of Kansas, Lawrence, Kansas


  • PhD or ABD in a related field.
  • Background in biological, physical, computational, or mathematical sciences.
  • Demonstrable interest and skills in ecological modelling and related areas.
  • Expertise in scientific software development in R, Bayesian statistics, species distribution modelling, and stochastic demography is a plus.
  • Experience with the Stan programming language is welcomed.
  • Use of high-performance computing clusters is required.

Job Description:

  • Conduct computational and statistical analysis of ecological data and models.
  • Improve understanding of how climatic variability influences species geographic ranges.
  • Incorporate demography and climatic variability into species distribution models.
  • Collaborate with an interdisciplinary team including Reuman, Emilio Berti, Town Peterson, Jorge Soberon, and several PhD students.
  • Research will cover many taxonomic groups at large spatial scales.

How to Apply: Interested applicants should submit their CV, a cover letter detailing their research experience and interests, and contact information for three references to Dr. Daniel Reuman at the University of Kansas.

Last Date for Apply: [Insert Application Deadline Here]



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