Application deadline: 20.11.2015
UiT The Arctic University of Norway, Faculty of Science and
Technology, has a PhD position vacant from 01.01.16 for applicants who
wish to obtain the degree of Philosophiae Doctor (PhD).
The position is attached to the Department of Mathematics and Statistics and the research group in Statistics.
The appointment is for a period of three years.
The PhD position is for a fixed term, with the objective of
completion of research training to the level of a doctoral degree.
Admission to a PhD programme is a prerequisite for employment, and the
programme period starts on commencement of the position. The PhD
Candidate shall participate in the faculty’s organized research
training, and the PhD project shall be completed during the period of
employment. Information about the application process for admission to
the PhD programme, application form and regulations for the degree of
Philosophiae Doctor (PhD) are available at the following address: http://en.uit.no/ansatte/organisasjon/artikkel?p_document_id=167946&p_dimension_id=88131&p_menu=28714.
Further information about the position is available by contacting
associate prof. Sigrunn Holbek Sørbye, phone: +47 77645504, e-mail:
email@example.com or Head of department, prof. Trygve Johnsen,
phone: +47 77644031, e-mail: firstname.lastname@example.org.
The position’s affiliation
The Faculty of Science
and Technology consists of the following departments: Department of
Chemistry, Department of Computer Science, Department of Engineering and
Safety, Department of Geology, Department of Mathematics and
Statistics, and Department of Physics and Technology.
position is at the Department of Mathematics and Statistics. The
department has 15 permanent scientific positions: Applied mathematics (4
positions), pure mathematics (6.5 positions) and statistics (4.5
positions). At the moment there are 6 PhD positions and 1 post-doctoral
positions at the Department of Mathematics and Statistics.
The position’s field of research/research project
PhD Candidate will focus on developing new and efficient approaches in
statistical analysis of temporal, spatial and/or spatio-temporal models,
applying a Bayesian framework. An important part of the project is to
extend current methodology to analyse long memory processes and combine
this with inference for flexible regression models. Specifically, the
project aims to make use of the methodology of integrated nested Laplace
approximation (INLA), and also extend this to analysis of processes
with long-range dependency structures. The developed methods will be
applied to perform inference for climatic or other geophysical data
sets, including analysis at different temporal and spatial scales.
applicant must fulfil the requirements for admission to the faculty’s
PhD programme, cf. Regulation for the degree of Philosophiae Doctor
(PhD) at the University of Tromsø. In addition, he/she must be able to
document proficiency in English equivalent to Norwegian Higher Education
Entrance Qualification, refer to the website about PhD regulations at UiT.
In order to gain admission to the programme, the applicant must have an
average of C or better in his/her Master’s degree and for relevant
subjects of his/her Bachelor’s degree.