Opportunity: Postdoctoral Associate, Bayesian Modelling

Today we're sharing a great postdoc opportunity with the LynchLab at Stony Brook University! Their team is seeking two postdoctoral associates to work on the development of new Bayesian sampling algorithms for age-structured population models, specifically focusing on Antarctic wildlife

This position is perfect for applicants with a strong background in Python and Bayesian modelling, and ideally in age-structured modelling. 

Apply now!

Date published: 2020/09/01

Required Qualifications: (as evidenced by an attached resume) 

PhD in Ecology, Applied Mathematics, Computer Science, or related fields such as Engineering. Previously published scientific papers (lead author or co-author) in hand by January 2021. Python programming and Bayesian modeling experience.

Preferred Qualifications:   

Experience using high-performance computers. Experience with age-structured population models. Experience with reproducible research/documentation. Experience with GitHub/ version control.

Brief Description of Duties:  

The two Postdoctoral Associates will assist the Principal Investigator in the department of Ecology & Evolution.  The incumbents will conduct research and ensure that all experiments are appropriately conducted following the policies and procedures of Stony Brook University.  Successful incumbents will have the ability to communicate effectively across inter-disciplinary studies, including non-specialists.

One project focuses on the development of new Bayesian sampling algorithms for age-structured population models to estimate survival and reproductive success (using annual time series of total abundance across all aged breeders).  The second project involves the continued development of population models for Antarctic wildlife, expanding a previous model developed for Adelie penguins to three additional species: emperor penguins, Weddell seals, and crabeater seals. These models will be coupled with climate models to generate forecasts of abundance and distribution for these four Antarctic species.

  • Within the predetermined research scope and methodology, develop software application to facilitate the search of Antarctic biodiversity data and to model projections.
  • Analyze data utilizing specialized skills in related field to statistically  analyze and spatially model the collected data.
  • Database management and maintenance, including data back up on equipment.
  • Participate/assist in manuscript writing for publication in scientific journals and/or presentations.  May also assist in grant writing.
  • Other duties as assigned, which may include attending Scientific Conferences and Meetings.

Apply Now

Begin your application online here. Be sure to attach your CV and Research Statement to the application.

Visit The Office of Postdoctoral Affairs to learn more about our postdoctoral community. 

Come share your early career resources and opportunities in our group forum!

Continue the discussion… Early Career