University of Lausanne PhD Scholarship Position in Geomatics 2010

Deadline for applications: 10 January 2010
Starting Date: February-March 2010
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.

Contact
IGAR, Prof. M. Kanevski
Mikhail.Kanevski@unil.ch

Homepage:
http://www.unil.ch/igar

Website link: Information

Institute of Geomatics and Analysis of Risk (IGAR);
Faculty of Geosciences and Environment (FGSE), University of Lausanne
Position: Assistant, PhD student
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.

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ETH Zurich PhD Scholarship Position on Weather Insurance Design Project

The successful candidate will implement a research project on the weather insurance design. The project will be financed by Swiss National Science Foundation and an ETH Zurich internal PhD-grant. The objective of the project is to enhance the methodology of theweather insurance contract design considering conditions of limited relevance and applicability of historical data. The project will focus on the application of extremal dependence analysis and elaboration of the methodology for the utilization of a priori information available in the form of climate change projections. The project will be conducted based on historical data, climate change projections and results of crop simulation models for Kazakhstan where grain producers are especially prone to risk of drought.

The basic requirements are:
• A master degree in Mathematics, Economics, Agricultural Economics;
• Strong background in Probability Theory and quantitative methods;
• Programming skills;
• Good command of spoken and written English;

As the project will be implemented in collaboration with the scientists from Russia and Kazakhstan, knowledge of Russian would be an asset but is not a prerequisite.

Please send your application including CV, two letters of recommendation and (if possible) a copy of the Master thesis by January 15, 2010 to Dr. Raushan Bokusheva at the following postal address:

ETH Zurich
Institute for Environmental Decisions (IED)
Agri-Food and Agri-Environmental Economics Group
SOL C9
Sonneggstr. 33
8092 Zurich
Switzerland

The Agri-food & Agri-environmental Economics Group of ETH Zurich (www.afee.ethz.ch) invites applications for a Ph.D position.
The earliest starting date of this position would be February 1, 2010.

Website link: here

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