London, UK
ML Engineer for Traffic Modelling - KTP Associate
Aston University
£40,000
Full-time
Description
This Knowledge Transfer Partnership (KTP) project aims to develop a novel in-vehicle (mobile) monitoring solution, to capture and analyse road conditions and road infrastructure, using advanced artificial intelligence (AI) and machine learning (ML).
The project will develop a novel in-vehicle mobile urban monitoring system (MUMS). The problem which the project will address is in direct response to client-driven demand for mobile solutions to more effectively, pro-actively maintain road condition and traffic/infrastructure.
The project is strategic for Smart Transport Hub (STH) to develop novel data technology solutions for the transport market to meet challenges. STH has already developed a static transport/traffic data analysis solution, but is seeking to extend their capabilities to develop a sophisticated mobile solution capable of delivering real-time data analysis.
Candidate Profile: minimum MSc in Data Science or a related discipline, with some relevant industry experience.
Skills/ experience required include:
Expertise in data analytics, particular in Machine Learning and Computer Vision
Ability to demonstrate numerical and machine learning software skills in e.g. MATLAB, Python
Experience of supervised and unsupervised machine learning techniques
Experience in simulation technology
Ability to innovate and initiate work in a practical environment
A track record of publications in deep learning algorithms
Additional experience of working in the logistics, transport and infrastructure-related field would be a distinct advantage
Main responsibilities:
Developing sophisticated ML algorithms for machine vision
Extending the most recent research in depth estimation from single camera to multi-camera set-ups
Improving methods for stat-of-the-art depth estimation
Integration of developed algorithms with STH’s existing software platform and client dashboards
Developing data technology solutions that are not only novel, but meet existing market challenges
Personal attributes:
Strong interpersonal skills and ability to work independently.
Analytical thinking, problem solving and proactivity.
Ability to engage with customers and distributors.
Leadership and maturity to deliver the KTP project and ensure it achieves agreed milestones and objectives.
Project management skills and experience would be an advantage.
Additional Benefits and support:
Up to £5000 for personal and professional development for the duration of the project
Annual leave (25 days p/a)
Professional support and mentorship
Mental Health and wellbeing support: https://www.aston.ac.uk/staff-public/hr/Benefits-and-Rewards/health-wellbeing
Career prospects:
60% of our KTP associates are being offered employment by the companies at the end of the KTP project.
This is a Knowledge Transfer Partnership (KTP) funded by Smart Transport Hub Limited and Innovate UK.
Knowledge Transfer Partnerships (KTPs) are collaborative, three-way partnerships creating positive impact and driving innovation by linking various businesses with the UK's world class knowledge bases to deliver innovation projects led by skilled graduates. 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: Smart Transport Hub (STH) Limited was established in 2019 and is a fast-growing, innovative transport consultancy business delivering solutions to various transport planning, design and traffic engineering related challenges. https://www.smartransport.co.uk/
Aston University: You will work in a project team with Dr Maria Chli and Dr Luis Manso at Aston University, the Senior Management Team at STH, along with the support of the IUK’s Knowledge Transfer Adviser.
Location: You will be based predominantly at STH office in London. You will also have access to facilities at Aston University in central Birmingham, and some travel to trainings and key clients may also be required.
For informal enquiries about this role please contact Dr Luis Manso [email protected] or Nicola Mastini [email protected].
If you think this isn’t the right opportunity for you, please explore other KTP vacancies across the country: https://www.ktp-uk.org/jobs/
Expiry date: 21/04/2024
ML Engineer for Traffic Modelling - KTP Associate
Company
Aston University
Salary
£40,000
Job Type
Full-time
Location
London, UK
Our Commitments
Disability Confident
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Our Commitments
Disability Confident