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.