Ecological Statistician, British Trust for Ornithology

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  • Posting Date: 7 months ago


  1. A PhD in statistics or a related subject (or equivalent experience), preferably with some postdoctoral experience.
  2.   A strong research interest in ecology, preferably with a good knowledge of population ecology.
  3.   Advanced statistical expertise in study design and the analysis of ecological data and the ability to acquire in-depth knowledge of new specialist statistical techniques as required.
  4.   Advanced expertise in the manipulation, analysis and modelling of large ecological datasets. Knowledge of SAS or R is essential; familiarity with programming in languages such as Fortran or C++ would be beneficial.
  5.   Familiarity with the application of Bayesian methods would be an advantage in addition to more classical frequentist statistics.
  6.   Ability to implement innovative methods of statistical analysis and modelling, such that the results produced are sufficiently robust to be publishable in high quality journals, often working to tight deadlines.
  7.   A strong ability to communicate statistical ideas and methods clearly to biologists (with all levels of statistical expertise) and to work well as part of a team.
  8.   A track record of publications in high quality refereed scientific journals.
  9.   Ability to present research talks effectively at national and international scientific meetings.
  10.   Excellent personal organisation and time management skills.

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