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- Tasks: Develop innovative 3D scanning technologies for railway maintenance and conduct impactful research.
- Company: Join a leading research-intensive university in the UK.
- Benefits: Flexible working arrangements, collaboration with top European partners, and career development opportunities.
- Why this job: Make a real difference in railway technology while working on exciting international projects.
- Qualifications: PhD in railway engineering, 3D scanning, or computer vision required.
- Other info: Hybrid work options available, fostering a dynamic and collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
Are you an ambitious researcher looking for your next challenge? Do you have experience related to 3D scanning, point cloud data processing or railways? Do you want to further your career in one of the UK’s leading research-intensive Universities? Do you want to be part of an EU funded international innovation programme with collaboration between partners across Europe?
We seek a motivated and versatile Research Fellow to help develop novel 3D scanning technologies for railway track Switches and Crossings. You will be working on the XCROSS project which aims to make a step-change in railway maintenance. As part of this, you will work with an international consortium comprising a range of leading Universities, software companies, sensor companies, railway track owners and rail industry bodies.
Working with Professor David Connolly, you will conduct novel research and international impact activities. This will include the identification of hardware and software requirements for the in-situ 3D scanning of crossings, and also performing laser scans at several railway sites in Europe. Using scan data, you will develop 3D point cloud manipulation, artificial intelligence, and computer vision algorithms to process 3D scanned crossing datasets.
You will have a PhD (or submitted your thesis before taking up the role) in a railway engineering related discipline or an area related to 3D scanning or computer vision.
This role will be based at the university of Leeds campus and there is scope for it to be undertaken in a hybrid manner. We are open to discussing flexible working arrangements.
Research Fellow in 3D Scanning of Railways in Leeds employer: University of Leeds
Contact Detail:
University of Leeds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow in 3D Scanning of Railways in Leeds
✨Tip Number 1
Network like a pro! Reach out to professionals in the railway and 3D scanning fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for the industry.
✨Tip Number 2
Prepare for interviews by researching the XCROSS project and its goals. Understand the latest trends in 3D scanning and railway maintenance so you can impress with your knowledge and enthusiasm during the conversation.
✨Tip Number 3
Showcase your skills! Create a portfolio of your previous work related to 3D scanning or point cloud data processing. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Research Fellow in 3D Scanning of Railways in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Research Fellow in 3D Scanning of Railways. Highlight your experience with 3D scanning, point cloud data processing, and any relevant railway projects. We want to see how your skills align with 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 makes you a perfect fit. Don’t forget to mention your interest in working on the XCROSS project and collaborating with international partners.
Showcase Your Research Experience: Since this is a research-focused position, be sure to showcase any relevant research experience you have. Discuss your PhD work or any projects related to 3D scanning or computer vision. We love seeing how you've contributed to the field!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at University of Leeds
✨Know Your Tech
Make sure you brush up on the latest 3D scanning technologies and point cloud data processing techniques. Familiarise yourself with the specific tools and software mentioned in the job description, as well as any relevant algorithms in AI and computer vision. This will show your passion and expertise in the field.
✨Showcase Your Research
Prepare to discuss your previous research experiences, especially those related to railway engineering or 3D scanning. Be ready to explain how your work can contribute to the XCROSS project and the international consortium. Use specific examples to illustrate your impact and results.
✨Collaboration is Key
Since this role involves working with various partners across Europe, highlight your teamwork skills. Think of examples where you've successfully collaborated with others, particularly in a research setting. Emphasise your ability to communicate effectively with diverse teams.
✨Ask Insightful Questions
Prepare thoughtful questions about the XCROSS project and the university's research goals. This shows your genuine interest in the role and helps you understand how you can fit into their vision. Consider asking about future developments in 3D scanning technologies or the potential for innovation in railway maintenance.
