Ecoinformatics, Biometrics and Forest Growth

Ph.D. thesis topics offers

Currently offered PhD topics at the Department of Ecoinformatics, Biometrics and Forest Growth (principal supervisor: Prof. W. Kurth)

Integration of the xylem sap flow model HYDRA and of a soil water model into a rule-based framework and test at oak and spruce trees

Design and implementation of an intelligent data interface between an electromagnetic 3-d digitizer and a graph-based modelling software

Implementation, application and analysis of selected algorithms for grid-based discretization and fractal analysis of virtual 3D structures

Extension of the 3-d modelling software GroIMP to a multi-user virtual reality environment for e-training in forestry

Implementation of the structural plant simulator AmapSim as a system of graph transformation rules in the language XL. Model comparison and application to Sugar Maple (Acer saccharum) and Teak (Tectona grandis)

Rule-based models of growth and above-ground morphology of spruce trees (Picea abies) with different degrees of physiological accuracy

Theory and design of an interactive visual programming system for functional-structural plant models and implementation as an extension of the tools GroIMP and XL

A 3-dimensional model of apple tree growth and development, including light interception and biomechanics

Parameterization and validation of a 3-dimensional simulation model of European beech (Fagus sylvatica L.), using the software tools XPlo and GroIMP

Application for a PhD project topic and for an invitation letter (for external applicants)

The following documents are required as parts of a single pdf file (except the last item):

  • Cover sheet: first page of your application (already indicating your name, e-mail address, preferred topic / field of research ... )
  • Curriculum Vitae with a photo
  • Certificates and official transcript / Record of study: certificates such as B. Sc. and M. Sc.; detailed documentation of your academic work, i.e. list of courses at all colleges / universities attended, grades if applicable; list of publications if there are any.
  • Proof of proficiency in English or German language
  • Two reference letters: it is recommended to submit signed letters of two academic teachers who are able to evaluate your personality, academic experience, and intellectual merit, e.g. from your M.Sc. thesis supervisor.