Are you holding Master’s degree and looking for PhD positions? Swedish University of Agricultural Sciences (SLU), Sweden inviting online application for funded PhD Programs / fully funded PhD positions.
Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. PhD Position in silviculture with focus on regeneration of birch
Summary of PhD Program:
The aim of the PhD student position is a doctoral degree. In this 4-year project the student will primarily do research in plant production and regeneration of planted birch. The PhD studies include establishment and analysis of nursery- and field-based experiments with the overall aim to improve our knowledge in birch regeneration. The PhD student will get a research education in silviculture with training in plant production, regeneration, silviculture, ecophysiology and sustainable forest management. The PhD student will be included in our research team which focuses on forest management using empirical data and mechanistic modelling. We do research on all types of forest management systems and a wide range of forestry, including forest conservation management. Our team is responsible for the teaching in silviculture on two masters- and one bachelor program.
Last Application Date: 2022-09-30
2. PhD Position in forest management with a focus on global forest resources
Summary of PhD Program:
The task for the doctoral studies involves studying the development of the global forest resources with the support of modern inventory techniques that combine different types of remote sensing with field inventory. The studies will shed light on the developments of forests in different parts of the world, making comparisons with the developments in Sweden and Europe, and analyse similarities and differences between regions from different perspectives, including the contribution of forests to mitigating climate change through carbon sequestration. An important part of the work involves contributing to the development of quality-assured methods for large-area forest monitoring. The main focus of the work will be determined together with the doctoral student.
Last Application Date: 2022-10-10
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