Institute of Measurement Science
Computational methods of modeling and evaluation of measurement uncertainties
Name of the supervisor
Doc. RNDr. Viktor Witkovský, CSc.
The Faculty of Electrical Engineering and Information Technology
The dissertation will be aimed at the development of new methods and algorithms suitable expression and calculation of uncertainties in measurement, with an emphasis on Monte Carlo methods and methods based on the numerical inversion of the characteristic function of the associated probability distribution. Another objective is to apply these advanced methods and algorithms for comparative calibration of the measurement devices and uncertainty analysis of measurements, in the theory of reliability and in metrology. The precondition for a successful solution of the PhD thesis is a basic knowledge of metrology, probability and statistics, and programming skills in Matlab. The dissertation will be solved at the Institute of Measurement Science of the Slovak Academy of Sciences in Bratislava.