Postdoctoral Scholarship (2 years) – Large scale analysis of tree growth in space and time under changing climate conditions

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The Department of Mathematics and Mathematical statistics is offering a postdoctoral scholarship within the project “Large scale analysis of tree growth in space and time under changing climate conditions”. Last day to apply is 2018-01-29.

Project description
The productivity of ecosystems is strongly linked to environmental conditions. In recent years, we have conducted research concerning a dynamic statistical model for the growth process, in both time and space, of individual trees in forest stands of full and different age. Taking these results as a basis, with the support of large amounts of empirical data the project aims at further developing the underlying model idea to suit different types of forest conditions, with respect to e.g. tree type distribution, size distribution and spatial distribution. The approach is to model, and thereby describe, the spatio-temporal growth process of individual trees, when being part of a larger system, under varying climate conditions. Estimated changes in stand development will act as indicators of climate change. As the trees, in turn, form the basis of many other species' ecosystems, the analysis will also reflect how climate change affects other species' future.

The model components to be constructed are based on large-scale statistical analyses and the structures that will be studied and described include e.g. within-/between-species dependencies, which reflect how individual trees grow and compete within and between stands. The basis of the modelling approach is a dynamically evolving marked point process structure. The data used, which is obtained from the Swedish National Forest Inventory, will be linked to weather and climate data from the Swedish Meteorological and Hydrological Institute (SMHI). From an ecological point of view, the development and structure of a model for the tree layer constitutes the core from which a framework of other ecological models can be built so that one can estimate other ecological aspects of the Swedish forest.

You will be part of the research group of Spatiotemporal Statistics at the Department of Mathematics and Mathematical Statistics at Umeå University, which has close cooperation with the Department of Forest Resource Management at the Swedish University of Agricultural Sciences, Umeå.

The successful candidate will be based at the Department of Mathematics and Mathematical Statistics in Umeå and will be financed through a personal scholarship from the Kempe Foundations. The two-year scholarship will start at the earliest possible time point, agreed upon by the two parties, and the stipend gives 25000 SEK/month (net).

To qualify for the scholarship, you should have a PhD degree, or a foreign degree that is deemed equivalent, in mathematical statistics or equivalent subject. Priority should be given to candidates who have completed their PhD no more than three years before the application deadline, unless there are particular circumstances.

The applicant should have documented knowledge of statistics for spatiotemporal data in general and spatiotemporal point processes in particular. Documented experience with growth models, Gibbs processes, forest applications, and programming skills (preferably R) are a merit. The fellow must have the ability to communicate in English and work in an interdisciplinary environment.

The application should include:

  • a short description of your research interests and why you are interested in the scholarship (max 3 pages),
  • CV with publication list,  
  • copy of exam certificates (or equivalent if the PhD certificate is not yet obtained),
  • copies of your PhD thesis and relevant publications,
  • contact information to at least 2 reference persons.

The application may be written in English (preferably) or Swedish and is to be submitted electronically (PDF format).

For more information, please contact Prof. Jun Yu (, +46-(0)90-786 51 27) or Dr. Ottmar Cronie (, +46-(0)90-786 57 42).

Your complete application marked with reference number FS 2.1.6-2202-17, should be sent to (with reference number on the subject line) January 29, 2018 at the latest.

We look forward to receiving your application!

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