Assistant, PhD student position at IGAR

Assistant, PhD position at the Institute of Geomatics and Analysis of Risk (IGAR);
Faculty of Geosciences and Environment (FGSE), University of Lausanne

Position:Assistant, PhD student
Starting Date: February-March 2010
Place of work: Institute of Geomatics and Analysis of Risk (IGAR), University of Lausanne
Education and skills:
MS degree in one of the following disciplines: statistics, machine learning, computer
science, physics, geosciences, applied mathematics. Candidates should have a sound
background in spatio-temporal data analysis using machine learning and geostatistical
approaches. Knowledge of scientific programming languages as Matlab, C, or R is
important.
Description:
IGAR opens a position in the field of application of machine learning algorithms (neural
networks of different architectures, support vector machines, etc.) and geostatistics for
geo/environmental sciences. The main tasks concern the development, adaptation, and
programming of data mining (pattern recognition) models and tools. In particular, topics to
be studied include modeling of data clustering, novelty detection, feature selection,
manifold learning, risk mapping, and spatio-temporal simulations. In addition to the PhD the
candidate is expected to assist in teaching (French, English) and other projects at the institute.
Remarks:
Motivation letter, CV, list of publications, MS thesis or equivalent, and recommendation
letter should be sent by e-mail to Prof. Kanevski.
Deadline for applications: 10.01.2010
Contact
IGAR, Prof. M. Kanevski
[email protected]
Homepage:
http://www.unil.ch/igar