UK: PhD Studentship in Uncertainty Quantification Project, the Institute of Petroleum Engineering, Heriot-Watt University, Edinburgh

PhD Studentship in Uncertainty Quantification project

Subject: PhD Studentship at the Institute of Petroleum Engineering, Heriot-Watt University, Edinburgh

Geological realism in reservoir models: uncertain data integration

A PhD studentship is available in the Institute of Petroleum Engineering at Heriot-Watt University, to work on an industry funded Uncertainty Quantification project.

Improvement of geological realism in reservoir models is one of the ultimate goals in assessing uncertainty of production predictions. One of the ways to characterize realistic geology is to describe model components and relations in a form of prior distributions, which are based on relevant geological knowledge and data. For instance, a relation between curvature and widths for fluvial channels is supported by observation of contemporary river systems.

The PhD work will be focused on integration of geo-data from different fields – geology, hydrology, paleo-geology, geography – into sub-surface reservoir models. More efficient use of relevant data as informative priors aims to improve realism and prediction capability of the petroleum reservoir forecasting model. Uncertain forecast can be improved by using realistic quantification of model unknowns described by statistical priors, elicited from geological prior knowledge. Use of informative prior distribution in prediction modelling requires self-consistent description of complex dependencies hidden in data, which are subject to vast uncertainties and usually cannot be well represented analytically.

The candidate will join a dynamic and diverse team of post-docs and PhDs lead by Prof. Mike Christie. The research carried out by the team addresses aspects of uncertainty quantification including stochastic optimisation methods, geostatistics, machine learning, and employs high-level scientific computation (including a 84 node Linux cluster). The research is funded by a consortium of oil companies, and the skills acquired in while studying for the PhD are likely to be applicable to a wide range of areas, including the oil industry.

Desired skills:
The successful candidate must have a degree in geology, strong numeric geological knowledge and understanding of natural systems behaviour and data acquisition. Experience in subsurface geology, paleo-geology, hydro-geology and ground water modelling will be beneficial. Knowledge of computational methods and petroleum engineering is desirable.

To apply send a CV to Dr V Demyanov, vasily.demyanov[ at ]pet.hw.ac.uk

Closing date: 31st July 2009.

Norway: PhD Student Positions within Data Communications and Networking at SimTel Innovation

Fully financed PhD student positions within data communications and networking at SimTel Innovation, Norway

We are looking for skillful and hard working candidates with high academic credentials/results for PhD student positions within the area of data communication, computer networks and distributed systems at SimTel Innovation, a joint research project between Simula and the telecom operator, Telenor.
The PhD positions are targeted at the following research topics:

Peer-to-Peer (P2P), overlay networking
Multi-link access
Cognitive radio and dynamic spectrum access, with focus on higher layers
Applications should be submitted by July 31st 2009. The applications must follow the guidelines described at http://simula.no/jobs/SimTel09 .

We offer a competitive salary that reflects that we are hand-picking only top candidates. The successful candidate should not need additional funding.

SimTel Innovation holds office at Simula Research Laboratory, a 15 minutes drive from the center of Oslo, Norway. The chosen PhD candidates will be enrolled in the 3-year PhD-program of the Simula School of Research and Innovation. The PhD degrees will be awarded by the University of Oslo.
More information about the positions can be found at http://simula.no/jobs/SimTel09 .

Closing date: July 31st 2009