AI and Data Scientist (Railway Industry)

at  University of Derby

JOB DETAILS

College
College of Science and Engineering
Responsible to
Senior Lecturer in Computer Science
Location
Sperry Rail (International) Ltd, Derwent House Rtc Business Park, London Road, Derby, DE24 8UP
Salary
£42,000 per annum (for exceptional performers, there is scope for further progression up to £52,000 per annum)
Closing date
Thursday 25 April 2024
Contract type
Fixed term contract 36 months
Post type
Full-time
Adaptive working type
Hybrid
This role will be based on site, primarily in the named location with the opportunity to work remotely available in line with our Adaptive Working Framework.
Reference
0137-24

ABOUT KNOWLEDGE TRANSFER PARTNERSHIP

This full-time post is part-funded by the UK Government’s KTP programme. A KTP is a three-way project between a graduate, an organisation and a university. KTP is one of the UK’s largest graduate recruitment programmes and has been placing graduates on challenging, high profile projects for almost 45 years. In addition to a competitive salary and core KTP development training, you will have a dedicated budget of £6,000 for further training and career development. To find out more about the scheme visit: ktp-uk.org/graduates
For informal enquiries please contact Alaa AlZoubi, Senior Lecturer in Computer Science via a.alzoubi@derby.ac.uk

EXPERIENCE

• Experience of developing machine learning and deep learning techniques
• Experience of prototyping and project delivery

SKILLS, KNOWLEDGE & ABILITIES

• Excellent knowledge of appropriate research methods
• Ability to collect, analyse and synthesise research data and information
• Ability to use initiative and creativity to solve problems in a research context
• Self-motivated and able to work independently and as part of a team
• Innovative and creative
• Ability to communicate complex information clearly both in writing and presentations
• Ability to work collaboratively with colleagues

BUSINESS REQUIREMENTS

• Willingness to work flexibly and be responsive to projects needs and partners expectations
• Understanding of workplace values in line with Sperry Rail
• Willingness to travel across the UK to meet Sperry Rail stakeholders

QUALIFICATIONS

• PhD in Computer Science related to AI technologies

EXPERIENCE

• Strong background in image analysis, signal processing, data compression and software engineering
• Experience of developing machine learning solutions for rail track condition monitoring
• Very good python programming skills
• Experience of project management
• Evidence of an emerging track record of publications in a relevant field
• Experience of presenting scientific research results to various audience

ABOUT THE ROLE

University of Derby’s College of Science & Engineering in partnership with Sperry Rail (International) Limited are offering an exciting career-development opportunity to manage and deliver a challenging strategic Knowledge Transfer Partnership (KTP) project. Based at Sperry Rail’s premises in Derby, you will be employed by the University as a KTP Associate but work under the terms and conditions of the company.
Using your knowledge and skills to support the business and achieve specific project aims, you will receive on-going support from a Sperry Rail Supervisor, Academic Supervisor and Academic Lead from the University of Derby to help you deliver. A personal training and development budget will also be available for you to access, as well as receiving access to the same training opportunities and facilities as University staff.
You will be responsible for developing an innovative and improved method to automatically detect defects in rails, integrating AI tools and practices. The project will involve investigating and prototyping the state of art deep learning techniques and multi-sensor fusion for rail surface defects detection, classification and growth estimation. The KTP Associate will benefit from the support of a team of experts in the field of computer vision, deep learning, image processing and sequential data analysis in order to develop and prototype the solutions.
You will be part of a 12 person team based in Derby. The Derby office will be available for associate to work with other team members who work a mix of office based and distance working. You will be expected to be present in the office for a minimum of three days a week and participate in daily stand-up meetings. You will also be interfacing with Sperry teams of AWS specialist sub-contractors and user interface software sub-contractors, and other related teams (e.g. non-destructive analysis, data acquisition, embedded systems, and possibly customer facing teams such as business development).
This is a dynamic role that presents an opportunity for an ambitious candidate to play an influential role in analysing data, building predictive models, and providing actionable recommendations to solve complex business problems that will enable leveraging cutting-edge technologies to enhance the existing defect detection capabilities. This structured development project will also require the post holder to work across a range of departments to understand and solve complex business problems.

PRINCIPAL ACCOUNTABILITIES

• To lead the development of the KTP project, including: The design and development of novel AI methods to automatically detect different types of cracks in rails; and the testing and integration of AI tools and practices for monitoring railway conditions.
• To work with the academic team to disseminate the outcome and research developed as part of the development process.
• To work with Sperry Rail and academic team to integrate the developed system into a business platform and demonstrate the system to key stakeholders in support of the company’s future plan.
• To carry out work in a professional manner and engage in tasks and training as required by the Sperry Rail, University of Derby, and Innovate UK.