Applied mathematician

Closed - This job posting has been filled.

Job Description

The project is to develop a smoothing algorithm for real time data, extending and formalising some work that I have done. I need an applied mathematician with knowledge and experience in the following areas (with machine learning the most important):

Data smoothing approaches, particularly Loess smoothing and Kalman filters
Signal processing of times series data
Machine learning algorithms, including k-nearest neighbour, Bayesian models, hidden Markov models
Splines (MARS)
Familiarity with tool sets, e.g. Python libraries, Octave, R or Mathematica
Ability to convert mathematical algorithms into requirements for developers

The person needs to be productive and efficient. The appropriate person will have advanced qualifications in mathematics, statistics, computer science, physics or electronic engineering

Skills: mathematics, science, physics