Job Description
About our client
Our Client is a Technology start-up
About the role
Our client is looking for a PhD / Masters candidate to work with us to analyse the motion data, determine trends in the data and ultimately, create algorithms to detect key events in the machine based on the live stream of sensor data.
Your responsibilities
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Analyse the data to determine patterns for key events such as machine upward and downward acceleration, door open and close cycles, machine being stationary, machine travelling at constant speed and others.
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Create algorithms to detect and display such events in real time.
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Create algorithms to detect anomalies (which could mean machine failures) and determine what are the cause of those anomalies.
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You will work closely with the team who are developing the platform, which provides workflow solutions and information access to stakeholders.
You will have
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Ph.D. and Masters students majoring in Computer Science, Economics, Statistics, Machine Learning, Operations Research, or other quantitative disciplines.
Experience
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Experience in modeling and algorithm development.
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Coding proficiency and the ability to develop statistical analysis and prototype algorithms in Python or R.
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Proficiency in SQL.
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Ability to communicate effectively with both technical and business stakeholders.
