Machine Learning Engineer for Traffic Modelling - KTP Associate

Job content

Informatics & Digital Engineering

Location: Agilysis Limited, 27 Horse Fair, Banbury, Oxfordshire, OX16 0AE

Salary: £32,000

Contract Type: Fixed Term (30 months)

Basis: Full Time

Closing Date: 23.59 hours BST on Monday 06 June 2022

Interview Date: To be confirmed

Reference: R220272

Release Date: Wednesday 04 May 2022

This role is an exciting opportunity for candidates qualified to PhD level in a data science related topic, or MSc with some industry experience, with a first degree in Computer Science/ Mathematics or related field. Candidates will require expertise in data analytics, particularly in Machine Learning and Computer Vision.

This KTP aims to develop a predictive Air Quality model for transport planning applications, enhancing the integration between actions to promote safe and sustainable travel with improvements in air quality. The KTP will be particularly novel as no current equivalent product exists in the market, nor do the techniques feature in the academic literature at sufficient readiness level, so the team will be working to develop a ground breaking solution.

The Associate’s personal development plan will include targeted training to ensure they have the core expertise to deliver the project, either in professional training or through access to appropriate taught modules / academic mentoring at Aston.

Candidate Profile: PhD in a data science related topic, or MSc with some industry experience, with a first degree in Computer Science/ Mathematics or related field.

Key skills/ experience required include:

• Ability to demonstrate numerical and machine learning software skills in e.g. MATLAB, Python.
• Experience of supervised and unsupervised machine learning techniques
• Ability to innovate and initiate work in a practical environment

Responsibility:

The Associate will have responsibility for development of a new product and working collaboratively with the Data Analysis team at Agilysis to embed new skills and with commercial staff to launch the new product.

Personal attributes:

• Excellent verbal and written communication skills.
• Good inter-personal skills
• Work collaboratively with a range of stakeholders in a multidisciplinary project team.
• Work independently on own initiative as and when required.
• Credibility to ask questions and constructively challenge.
• Self-motivated & confident with good persuasion & negotiation skills.
• Fit in with the organisational culture and present a positive image of the company to clients.

Additional Benefits: Up to £5000 dedicated personal and professional development budget for the duration of the project

This is a Knowledge Transfer Partnership (KTP) funded by Agilysis Ltd and Innovate UK. It is essential you understand how KTP works and the vital role you will play if you secure this position. To learn more please visit www.aston.ac.uk/ktp

The Company: Agilysis Limited is a multi-award-winning specialist consultancy in transport safety and road user behaviour; working with clients to understand the impact of road user choices on traffic volumes, road risk, safety outcomes and wider impacts, with services including: Research & Evaluation; Reporting & Analytics; Consultancy and Training/ Education. Agilysis’ clients include local authorities, city administrators, police forces, transport operators and global institutions working to improve transport safety. More information: https://agilysis.co.uk/

Aston University: You will work in a project team with Dr Maria Chli, Dr George Vogiatzis, Dr Lucy Bastin at Aston University and the Senior Management Team at Agilysis Ltd with the support of the IUK’s Knowledge Transfer Adviser.

Location: You will be based predominantly at Agilysis Limited in Banbury, but will also have access to facilities at Aston University in central Birmingham. Some travel to key clients may also be required.

For informal enquiries about this role please contact Dr Maria Chli, Reader in Informatics and Digital Engineering, m.chli@aston.ac.uk.