Lead the projects and provide technical execution to design of machine learning algorithms/solutions to solve industrial problems.

Determine methodologies needed; apply such methodologies e.g. graphical models, neural nets, CART, Bayesian methods, etc. on monitoring, classification, prediction, controls, bioinformatics, computer vision and related research domains

Define data needs, evaluate data quality, perform and critique appropriate statistical analyses using software such as R, Python, SAS, MATLAB, and/or Splus. Explore, determine & develop technical approaches to be used and apply them on major challenges

Effectively communicate technical analysis and results

Support proposals to respond to internal and external funding opportunities

Doctorate degree in Computer Science, Mathematics, Applied Statistics, Operations Research or in Engineering

Foundation in theories underlying machine learning techniques