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- Tasks: Lead a project to develop predictive machine learning models for railway maintenance.
- Company: Join Durham University and MoniRail Ltd in an innovative collaboration.
- Benefits: Gain hands-on experience, access to cutting-edge research, and potential for remote work.
- Why this job: Be at the forefront of AI in transport engineering, making a real-world impact.
- Qualifications: A background in computer science or related fields is essential; passion for machine learning is a plus.
- Other info: Opportunity to publish research and attend conferences while working in a dynamic team.
The predicted salary is between 36000 - 60000 £ per year.
The KTP Associate will lead a Knowledge Transfer Partnership (KTP) project that is a collaboration between Durham University and MoniRail Ltd based in Birmingham. The Knowledge Transfer Partnership (KTP) scheme helps businesses to innovate and grow through the aid of discipline specific academic expertise. It does this by linking them with an academic supervisory team and a researcher in a university to work on a specific project.
Working alongside a close-knit team of developers and engineers, the KTP Associate will lead an innovative project to design, develop and implement predictive machine learning models for track and vehicle degradation using cutting-edge deep machine learning, and will integrate these into MoniRail's real-time monitoring system to deliver intelligent, data-driven maintenance insights.
Specific responsibilities:
- The successful candidate will lead the development of advanced machine learning models for predictive maintenance in railway systems, working closely with MoniRail Ltd and Durham University.
- The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected from in-service trains.
- This data will be used to identify early signs of track and vehicle degradation, to allow for a shift from reactive to condition-based maintenance.
- The candidate will be expected to carry out high-quality research at the intersection of AI, signal processing and applied railway engineering.
- They will collaborate with MoniRail's development and engineering teams to integrate developed models into the company's existing solutions, so the outputs are scalable, reliable and deployable in real-world operational settings.
- Develop a wide range of skills within the cutting edge of computer science, through studies in state-of-the-art research, lectures and seminar attendance.
- Develop technical expertise in machine learning, predictive modelling and sensor data analytics within a transport engineering context.
- Implement state-of-the-art solutions and identify solutions to technical problems.
- Contribute to the planning and execution of the KTP workplan to deliver on defined technical milestones.
- Research, prototype and validate models using MoniRail's datasets and publicly available data and ensure that they are up to the company's and university's standards.
- Communicate progress through regular project meetings and written reports.
- Attend regular project meetings and periodic evaluations.
- Work with developers to prepare code for deployment and support product integration.
- Produce technical documentation, user guides and internal training materials.
- Contribute to academic outputs, including drafting research papers and conference presentations and participate in dissemination activities.
The KTP Associate will be employed by Durham University but will be based at MoniRail, Birmingham, and will be expected to spend time in Durham University to undertake the partnership's objectives.
KTP Associate in Machine Learning - Durham employer: Durham University
Contact Detail:
Durham University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land KTP Associate in Machine Learning - Durham
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in predictive maintenance and deep learning. This will not only help you understand the project better but also demonstrate your genuine interest and knowledge during interviews.
✨Tip Number 2
Network with professionals in the railway engineering and machine learning fields. Attend relevant conferences or webinars to connect with industry experts and gain insights that could be beneficial for your application and future role.
✨Tip Number 3
Prepare to discuss real-world applications of machine learning in transport engineering. Think of examples where predictive modelling has made a significant impact, as this will showcase your ability to apply theoretical knowledge practically.
✨Tip Number 4
Be ready to demonstrate your collaborative skills. Since the role involves working closely with teams from both MoniRail and Durham University, think of past experiences where you successfully collaborated on projects and how you can bring that teamwork spirit to this position.
We think you need these skills to ace KTP Associate in Machine Learning - Durham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, predictive modelling, and any projects related to railway systems. Use specific examples that demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: Write a cover letter that clearly explains why you are interested in the KTP Associate position. Mention your passion for machine learning and how your background aligns with the responsibilities outlined in the job description.
Showcase Relevant Skills: In your application, emphasise your technical expertise in deep learning, anomaly detection algorithms, and sensor data analytics. Provide examples of how you've applied these skills in previous roles or projects.
Highlight Collaborative Experience: Since the role involves working closely with teams at MoniRail and Durham University, include any past experiences where you successfully collaborated on projects. This could be in academic settings or professional environments.
How to prepare for a job interview at Durham University
✨Showcase Your Technical Skills
Make sure to highlight your expertise in machine learning, predictive modelling, and sensor data analytics. Be prepared to discuss specific projects or experiences where you've successfully implemented these skills, especially in a transport engineering context.
✨Understand the KTP Framework
Familiarise yourself with the Knowledge Transfer Partnership scheme and its objectives. Demonstrating an understanding of how this collaboration between academia and industry works will show your commitment and readiness for the role.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly in relation to technical challenges. Think of examples where you've identified solutions to complex issues, especially in machine learning or data analysis.
✨Communicate Effectively
Since the role involves regular communication with both MoniRail and Durham University, practice articulating your thoughts clearly. Be ready to explain complex concepts in a way that is understandable to non-experts, as you'll need to produce documentation and reports.