Skilled Data Scientists
PhD Students coming from DISCnet will have a high level of expertise in skills that industry needs; notably in data science and machine learning. By nature they are keen and natural problems solvers. Alumni work in a wide range of industries where they are key data scientists. Many wish to work on placement projects, as consultants or are seeking employment outside academia. Please contact Gill Prosser, Gill.Prosser@port.ac.uk, or Ian Sillett, I.M.Sillett@sussex.ac.uk, for further details.
Data Intensive Science Toolkit
Our students will be trained to be highly numerate and computationally skilled, with access to a vast “toolkit” of methods, and experience in applying these methods to real research problems. In particular, we have expertise across the following areas of data intensive science:
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Raw data processing
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Image analysis
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Pattern recognition,
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Object detection
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Object classification
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Machine learning for classification and regression
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Application of statistics to research problems
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Multi-Variate Analyses
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Bayesian methodologies for model parameter estimation
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Hierarchical probabilistic modelling
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Model selection
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Numerical simulation on massive scales
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Data mining
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HPC (algorithms, software/system management, cloud applications)
Our students will be trained to be highly numerate and computationally skilled, with access to a vast “toolkit” of methods, and experience in applying these methods to real research problems. In particular, we have expertise across the following areas of data intensive science:
-
Raw data processing
-
Image analysis
-
Pattern recognition
-
Object detection
-
Object classification
-
Machine learning for classification and regression
-
Application of statistics to research problems
-
Multi-Variate Analyses
-
Bayesian methodologies for model parameter estimation
-
Hierarchical probabilistic modelling
-
Model selection
-
Numerical simulation on massive scales
-
Data mining
-
HPC (algorithms, software/system management, cloud applications)