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Machine Learning and Data Scientist - KTP Associate

Engineering & Technology

Location:  RL Capital Ltd, Trident Business Park, Basil Hill Road, Didcot, OX11 7HJ
Salary:  £32,000 per annum
Contract Type:  Fixed Term (30 months)
Basis:  Full Time
Closing Date:  23.59 hours GMT on Sunday 21 March 2021
Interview Date:  Friday 09 April 2021
Reference:  R210058
Release Date:  Friday 19 February 2021

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.

You will work in a project team with Dr Yu Jia, Dr Maria Chli and Dr George Vogiatzis at Aston University, and software developers and senior management at R L Capital Ltd. 

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  

Aston University’s academic support team is part of Aston’s College of Engineering and Physical Sciences (EPS), a leading centre for research into applied computational intelligence and machine learning techniques for automated decision making and optimisation.

For informal inquiries about this role please contact Dr Maria Chli (m.chli@aston.ac.uk) or Dr Yu Jia (y.jia1@aston.ac.uk).

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.

Further details:    Job Details     University Information    
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Further particulars and application forms are available in alternative formats on request i.e. large print, Braille, tape or CD Rom.

If you have any questions, please do not hesitate to contact HR via recruitment@aston.ac.uk

Aston University is an equal opportunities employer and welcomes applications from all sections of the community.



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