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  Michelle Limbert M.Limbert@soton.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:

• 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)

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)