Salary: £23,449 – £27,182 per annum depending on experience

Applications are invited for a research associate position on classification digital rocks using machine learning funded UK Natural Environment Research Council (NERC).

The goal of this project is to explore the feasibility of developing a suite of feature-based, content-aware and self-supervised Machine Learning (ML) classification techniques for digital rocks, and to construct a proof-of-concept ML system capable of classifying digital rock samples and macro-scale properties according to pre-defined controlling features.

The successful candidate is responsible for developing algorithms and implementing the system as well as carrying out numerical experiments.

The successful candidate must have a strong background in ML and sound working experiences using popular SVM libraries and object-orientated programming languages like C++/C#. Good oral and written communication skills in English are essential. A postgraduate degree, MSc/MPhil/PhD, in either Computer Sciences or Applied Mathematics, or a bi-degree at BSc in Computer Sciences and either of Petroleum Engineering, Hydrology or Material Science is required. Knowledge of geo-statistic methods and fluid flow modelling in porous media will be beneficial.

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Filed Under: Computer Science • Heriot-Watt University