At a Glance
- Tasks: Lead an innovative project in AI and 3D image processing for rail safety.
- Company: Join a dynamic team at CrossTech, collaborating with top universities.
- Benefits: Enjoy a competitive salary, 28 days annual leave, and professional development opportunities.
- Other info: Be part of a supportive environment with excellent career growth potential.
- Why this job: Make a real impact on railway safety with cutting-edge technology.
- Qualifications: Degree in Computer Science or relevant field; proficiency in Python and AI.
The predicted salary is between 35000 - 40000 € per year.
Position details: FTE 1.0, Fixed term 30 months, Salary £35,000‑£40,000 per annum, Annual Leave 28 days, Location: College Lane, Hatfield and CrossTech, 11 Gough Square, London, EC4A 3DE.
About the Programme: This position is part of the Knowledge Transfer Partnership (KTP) programme funded by Innovate UK. A KTP is a 3‑way collaboration between a graduate (or post‑graduate), a business and a university or research institution. The Associate will lead an innovation project with full support from company and academic supervisors, and benefit from expert coaching and mentoring.
Project Overview: The project will develop a real‑time computer vision and edge AI system for intelligent rail monitoring, enabling early hazard detection. The result will support CrossTech’s automated AI infrastructure inspection and improve railway safety and efficiency.
Main Duties and Responsibilities: The Associate will develop advanced real‑time computer vision and edge AI system for rail monitoring and hazard detection. Responsibilities include:
- Data collection and analysis
- Contribution to design and organisation of the research project
- Contribution to academic peer‑reviewed papers and presentations
- Dissemination of results
- Writing final project reports and working papers
- Active participation in seminars and other academic events
Skills and Experience Required: Proficiency in Python (NumPy, PyTorch), experience with CNN/Transformer models, experience working as part of a research team in a Higher Education Institution or industry. Strong foundations in AI/machine‑learning, particularly deep learning for video analytics, experience managing real‑world data capture and labelling from complex environments. Methodical approach, attention to detail, problem‑solving, planning and self‑management, confidentiality.
Desirable: Exposure to intelligent transport systems (ITS), radar and AI for safety‑critical applications, understanding of data governance, safety and security.
Qualifications Required: Minimum of a Degree or equivalent in Computer Science or a relevant discipline.
Additional Requirements: Appointees requiring a work visa must prove UK right to work covering the whole project duration. Visa sponsorship will be considered after selection. Academic Technology Approval Scheme (ATAS) certificate may be required. The successful applicant must start by 19 December 2026.
Equal Opportunity: UH is committed to Equality, Diversity and Inclusion and welcomes applications from all qualified candidates regardless of protected characteristics.
Benefits: Employee benefits include discounted Sports Village memberships and opportunities for personal and professional development.
AI and 3D Image Processing Engineer - KTP Associate in Hatfield employer: University of Hertfordshire
As an AI and 3D Image Processing Engineer at CrossTech, you will be part of a dynamic team dedicated to innovation in rail safety, supported by both industry and academic leaders. Located in the vibrant areas of Hatfield and London, we offer a collaborative work culture that prioritises employee growth through expert coaching, mentoring, and access to professional development opportunities. With competitive salaries, generous annual leave, and unique benefits like discounted Sports Village memberships, CrossTech is committed to fostering a rewarding and inclusive environment for all employees.
Contact Detail:
University of Hertfordshire Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI and 3D Image Processing Engineer - KTP Associate in Hatfield
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant events, and connect with alumni from your university. You never know who might have a lead on that perfect AI and 3D Image Processing Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, CNNs, or real-time computer vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to AI and machine learning, and be ready to discuss your experience with data capture and analysis.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s a great way to show your enthusiasm for joining our team!
We think you need these skills to ace AI and 3D Image Processing Engineer - KTP Associate in Hatfield
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI and 3D Image Processing Engineer role. Highlight your experience with Python, CNN/Transformer models, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background in AI and machine learning makes you a perfect fit. Don't forget to mention your interest in real-time computer vision and edge AI systems.
Showcase Your Projects:If you've worked on any relevant projects, whether in academia or industry, make sure to include them in your application. We love seeing practical examples of your work, especially those that demonstrate your problem-solving skills and attention to detail.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don't miss out on any important updates. Plus, it's super easy!
How to prepare for a job interview at University of Hertfordshire
✨Know Your Tech
Make sure you brush up on your Python skills, especially with libraries like NumPy and PyTorch. Be ready to discuss your experience with CNN and Transformer models, as these are crucial for the role.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, particularly those involving real-time computer vision or AI systems. Highlight your contributions and the impact of your work on safety and efficiency.
✨Understand the KTP Programme
Familiarise yourself with the Knowledge Transfer Partnership (KTP) programme. Understand how it works and be ready to discuss how you can contribute to the collaboration between the business and academic institutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the project and the company’s goals. This shows your genuine interest in the role and helps you understand how you can fit into their vision for intelligent rail monitoring.
