April 5, 2013 - 00:14 — Anonymous

Announcer:

INSTITUTE OF MATHEMATICAL STATISTICS AND ACTUARIAL SCIENCE

Organization:

UNIVERSITY OF BERN

City:

BERN

Country:

SWITZERLAND

Email:

ginsbourger@stat.unibe.ch

Job Description:

UNIVERSITY OF BERN (INSTITUTE OF MATHEMATICAL STATISTICS AND ACTUARIAL SCIENCE)

PhD POSITION in STATISTICS

Funding from the SNF (Swiss National Science Foundation) is available for a PhD student to work on a project supervised by Dr. David Ginsbourger and Prof. Ilya Molchanov.

This project focuses on novel set estimation methods relying on random fields models. The research work will involve concepts and techniques from probability theory, spatial statistics, machine learning, and applied functional analysis.

It is anticipated that the prospective student has a background in mathematics, applied mathematics and/or statistics, a high motivation for research in collaborative and interdisciplinary environments, as well as some programming experience.

The salary will be at the level foreseen by the SNF, see http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_d.pdf

There might be a possibility to complement funding by taking up teaching and consulting duties. The funding is secured for 3 years with the starting date of 1 October 2013 or as can be arranged by mutual agreement.

Applications (CV and covering letter) giving the names and addresses

(postal and e-mail) of two academic referees should be e-mailed or

posted by 1 May 2013 to

Dr. David Ginsbourger, IMSV, University of Bern,

Alpeneggstrasse, 22 CH-3012 BERN, SWITZERLAND.

Informal e-mail enquiries are welcome.

E-mails: david.ginsbourger@stat.unibe.ch and ilya.molchanov@stat.unibe.ch

WWW: http://www.imsv.unibe.ch

Job Categories:

Graduate student fellowships

Keywords:

set estimation, spatial statistics, machine learning, applied functional analysis

Deadline for Application:

May 1 2013