Applied stochastic models for ocean engineering, climate
and safe transportation
A Research Training Network funded by the European
School of Mathematics and Statistics, the University of Sheffield,
announces a new position as Early Stage researcher, until the end
of the Seamocs project. Title: Statistical analysis of marine
. Details on the position can be found on
See also "Information about the job".
from Third year summing up: Scientific workshop and committee meeting
at DNV, Hövik, Norway, October 23-24, 2008, are now available.
- Interdisciplinary workshop on Effects of climate change: coastal
systems, policy implications, and the role of statistics,
March 18-20, 2009, on Malta.
Program - download talks and posters.
For general information about SEAMOCS positions please contact
one of the research leaders.
Announced positions of Early Stage (ESR) and Experienced Researchers (ER)
Link to more details about the positions.
- ESR, Tallinn: The potential of waves and currents for reduction of coastal pollution
in the Baltic Sea
- ER, Lund: Time dependent and multivariate statistics of extremes
- ER, K.U.Leuven: Climate change scenarios for coastal impact studies in the Southern North Sea
- ESR, Tallinn: Wave climate changes in the Baltic Sea and their impact on coastal
processes and ecosystems
- ESR, Toulouse: Detecting change point times in sea-waves models
- ESR, Chalmers and DNV: Stochastic analysis of responses of marine structures to wave and wind loads
- ER, DNV: Statistical properties of surface gravity waves in unimodal and bimodal directional
- ER, Lund: Analysis and computation in stochastic wave models and consequences for marine safety
- ESR, K.U.Leuven: Extreme waves in intermediate to shallow water and wave climate in coastal areas
- ESR, Lund and SMHI: Stochastic methods for improving nowcasting and short range forecasting of extreme weather
- ESR, Tallinn: Runup of nonlinear waves on beach for various wave shapes
(click on the link to find the address to the partners)
detailed information about the
people in the network:
Mathematical Statistics, Lund University
Probability and Statistics, University of Sheffield
Statistics and Probability, Université Paul Sabatier, Toulouse
Hydraulics Laboratory, K.U. Leuven
Shipping and Marine Technology, Chalmers, Göteborg
Institute of Cybernetics, Tallinn University of Technology
Royal Netherlands Meteorological Institute, de Bilt
Swedish Meteorological and Hydrological Institute, Norrköping
Det Norske Veritas, Hövik
Centre for Mathematical Sciences
Faculty of Engineering /
Box 118, 221 00 LUND
Direct Phone: +46 46 22 285 47, Dept. Phone: +46 46 22 285 50
Fax: +46 46 22 246 23
e-mail: email@example.com or