Machine Learning and Data Scientist - KTP Associate

£30,000 - £32,000

Didcot, Oxfordshire - Fixed Term (30 months)

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Job description

This role is an exciting opportunity for a PhD qualified graduate to take on a strategic project with the support of mentors from RL Capital Ltd, Aston University and Innovate UK. Associate will be responsible for development of a novel, real-time wheel alignment fault detection system (AutoAlign for cars & vans) to deliver accurate fault detection of wheel misalignment.

Candidate Profile:

The Associate will be educated to PhD level with a first degree in Computer Science, Electronic Engineering or Mechatronics Engineering, with a PhD in a data science related field.

The Associate will require experience in data analytics, particularly in Machine Learning. The ideal candidate will also have knowledge/ experience of signal processing and the following relevant skills:

– Numerical, machine learning and signal processing skills in software such as MATLAB and Python.

– Experience of supervised and supervised machine learning techniques is desirable.

– Knowledge/ understanding of operation of embedded systems/ IOT devices, inertia MEMS sensors and dynamics would be a distinct advantage.

– Capability to work both independently and collaboratively and have a proven track record of effective interaction with colleagues in industry and academia.

– Good project management skills are required with the ability to develop work plans under his/her own initiative and work to deadlines.

Project description

This project is a Knowledge Transfer Partnership (KTP) funded by R L Capital and Innovate UK. As a KTP Associate you will have a dedicated £5,000 budget to access extensive Personal Development opportunities to support the project and your future career. To learn more go to www.aston.ac.uk/ktp.

About the business

R L Capital Ltd. is an automotive technology company that develops intelligent tyre & wheel monitoring systems, reducing carbon & micro-particle vehicle emissions. Find out more: www.tyrewatch.com

Data Science

Machine Learning

PhD level with a first degree in Computer Science, Electronic Engineering or Mechatronics Engineering, with a PhD in a data science related field.

19 February 2021

21 March 2021

R210058


This role is an exciting opportunity for a PhD qualified graduate to take on a strategic project with the support of mentors from RL Capital Ltd, Aston University and Innovate UK. Associate will be responsible for development of a novel, real-time wheel alignment fault detection system (AutoAlign for cars & vans) to deliver accurate fault detection of wheel misalignment.

Candidate Profile:

The Associate will be educated to PhD level with a first degree in Computer Science, Electronic Engineering or Mechatronics Engineering, with a PhD in a data science related field.

The Associate will require experience in data analytics, particularly in Machine Learning. The ideal candidate will also have knowledge/ experience of signal processing and the following relevant skills:

– Numerical, machine learning and signal processing skills in software such as MATLAB and Python.

– Experience of supervised and supervised machine learning techniques is desirable.

– Knowledge/ understanding of operation of embedded systems/ IOT devices, inertia MEMS sensors and dynamics would be a distinct advantage.

– Capability to work both independently and collaboratively and have a proven track record of effective interaction with colleagues in industry and academia.

– Good project management skills are required with the ability to develop work plans under his/her own initiative and work to deadlines.