Machine Learning Engineer - KTP Associate

£31,800 - £31,800

Maldon, Essex - 24 Months

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Job description

THE PROJECT
The University of Essex in partnership with CML Microcircuits (UK) Ltd offers an exciting opportunity to a graduate to combine skills in signal processing and machine learning and apply them to the next generation of low-rate speech communication systems.

This post is fixed term for 24 months and is based at CML Microcircuits offices in Langford, Maldon, UK.

DUTIES OF THE POST

The duties of the post will include:

• Devising an appropriate method of converting speech intelligibility into a dataset.
• Applying machine learning techniques to speech signals and audio quality data sets.
• Developing and applying appropriate algorithms for optimisation to maximise quality of speech.
• Research into, evaluation and proposal of leading-edge techniques and algorithms across a broad range of knowledge areas.
• Targeting models which can run in a computationally constrained environment, and to the requirements of a semiconductor design team; identify potential hardware accelerators as appropriate.
• Pre-product development, documentation, and testing.
• Communicating technical concepts to stakeholders, including potential clients.
• Carrying out lab tests and field trials and reporting/acting on findings.
• Embedding technology and upskilling company staff.
• Co-authoring articles in collaboration with academics at the University of Essex.
• Participating in academic and/or industrial conferences and other events, to disseminate and present research outcomes to the wider community.

KEY REQUIREMENTS

The post holder must have:

• Bachelor’s degree in computer science, Electronic Engineering, Telecommunications or a related discipline.
• Knowledge of, or experience in, digital signal processing.
• Experience with machine learning algorithms.
• Experience in handling large and complex data.
• Experience in programming languages such as C, Python or Matlab.
• Ability to communicate highly technical information to non-technical colleagues and clients.
• Ability to assess current state-of-the-art in digital signal processing and machine learning.
• Ability to contribute to the drafting of an academic paper.

Project description

The University of Essex in partnership with CML Microcircuits (UK) Ltd offers an exciting opportunity to a graduate to combine skills in signal processing and machine learning and apply them to the next generation of low-rate speech communication systems

About the business

a world-leader in the design, development and supply of low-power analogue, digital and mixed-signal semiconductors for telecommunications systems globally

Semi-conductor / manufacturing

Electronic Engineering

BSc Computer Science / Electronic Engineering / Telecommunications or related discipline

9 April 2021

24 May 2021

22 June 2021

REQ04519


THE PROJECT
The University of Essex in partnership with CML Microcircuits (UK) Ltd offers an exciting opportunity to a graduate to combine skills in signal processing and machine learning and apply them to the next generation of low-rate speech communication systems.

This post is fixed term for 24 months and is based at CML Microcircuits offices in Langford, Maldon, UK.

DUTIES OF THE POST

The duties of the post will include:

• Devising an appropriate method of converting speech intelligibility into a dataset.
• Applying machine learning techniques to speech signals and audio quality data sets.
• Developing and applying appropriate algorithms for optimisation to maximise quality of speech.
• Research into, evaluation and proposal of leading-edge techniques and algorithms across a broad range of knowledge areas.
• Targeting models which can run in a computationally constrained environment, and to the requirements of a semiconductor design team; identify potential hardware accelerators as appropriate.
• Pre-product development, documentation, and testing.
• Communicating technical concepts to stakeholders, including potential clients.
• Carrying out lab tests and field trials and reporting/acting on findings.
• Embedding technology and upskilling company staff.
• Co-authoring articles in collaboration with academics at the University of Essex.
• Participating in academic and/or industrial conferences and other events, to disseminate and present research outcomes to the wider community.

KEY REQUIREMENTS

The post holder must have:

• Bachelor’s degree in computer science, Electronic Engineering, Telecommunications or a related discipline.
• Knowledge of, or experience in, digital signal processing.
• Experience with machine learning algorithms.
• Experience in handling large and complex data.
• Experience in programming languages such as C, Python or Matlab.
• Ability to communicate highly technical information to non-technical colleagues and clients.
• Ability to assess current state-of-the-art in digital signal processing and machine learning.
• Ability to contribute to the drafting of an academic paper.