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- Tasks: Lead innovative R&D projects in transport infrastructure and asset management.
- Company: Join TRL, a leader in transport research and technology solutions.
- Benefits: Enjoy flexible working options, competitive salary, and 25 days holiday.
- Why this job: Make a real impact on transport safety and accessibility while developing your skills.
- Qualifications: STEM degree required; proficiency in Python and data analysis essential.
- Other info: Opportunities for mentoring and professional development available.
The predicted salary is between 36000 - 60000 £ per year.
Join TRLs Assets team as a Consultant, where you'll deliver cutting-edge research and practical solutions in transport infrastructure, asset management, and emerging technologies like automated vehicle systems. We're looking for a STEM graduate with strong technical skills and a passion for innovation. The successful candidate will bring strong skills in data analysis, programming, experimental design, and the translation of technical research into practical guidance for clients and stakeholders. The successful candidate can be based UK wide with some travel expected. Flexible working options for full or part-time employment is available.
What You'll Do:
- Lead and support R&D projects in road condition monitoring, automation, and machine learning.
- Design and run experimental trials, collect and analyse data, and build custom tools (e.g. using Python).
- Apply signal and image processing for infrastructure assessment and survey analysis.
- Write clear, evidence-based reports, guidance, and standards for clients and stakeholders.
- Present findings through workshops, conferences, and publications.
- Mentor junior staff and contribute to TRLs innovation initiatives.
What You'll Need:
- Degree in a STEM-related subject.
- Proficiency in Python for data analysis and tool development.
- Experience in experimental design and interpreting physical measurement data.
- Familiarity with infrastructure condition assessment techniques and asset data collection technologies.
- Clear technical communication skills.
- Strong analytical thinking and attention to detail.
Desirable:
- Experience with condition monitoring, signal processing, or digital twins.
- Familiarity with infrastructure survey methods (e.g. TRACS, P-AMS MSP).
- Exposure to government or industry-funded R&D programmes.
- Understanding of digital twins, or machine learning applications in asset management.
- Knowledge of C# or other programming languages.
Why TRL?
- Competitive salary & 25 days holiday.
- Matched pension, healthcare cashback scheme, and income protection.
- Professional development support.
- Flexible, hybrid, and part-time working options.
- Be part of our mission to make transport safer, cleaner, and more accessible for all.
Apply now and drive change with TRL.
Contact Detail:
TRL Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Asset Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in transport infrastructure and asset management. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion for innovation.
✨Tip Number 2
Brush up on your Python skills, especially in data analysis and tool development. Consider working on personal projects or contributing to open-source initiatives that demonstrate your ability to apply programming in real-world scenarios.
✨Tip Number 3
Network with professionals in the field of asset management and transport technology. Attend relevant workshops, conferences, or webinars to connect with industry experts and gain insights that could give you an edge in your application.
✨Tip Number 4
Prepare to discuss your experience with experimental design and data interpretation. Think of specific examples where you've successfully applied these skills, as this will demonstrate your practical knowledge and problem-solving abilities to potential employers.
We think you need these skills to ace Asset Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your STEM degree and relevant technical skills, especially in Python, data analysis, and experimental design. Use specific examples from your experience that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for innovation and how your background fits the role. Mention any experience with condition monitoring or machine learning, and express your enthusiasm for contributing to TRL's mission.
Highlight Relevant Projects: In your application, include details about any projects you've worked on that involved data analysis, programming, or infrastructure assessment. This will demonstrate your practical experience and ability to translate research into actionable insights.
Prepare for Technical Questions: Anticipate technical questions related to your skills in Python, signal processing, and experimental design. Be ready to discuss specific methodologies you’ve used and how they relate to the responsibilities of the Asset Consultant role.
How to prepare for a job interview at TRL Limited
✨Showcase Your Technical Skills
As an Asset Consultant, you'll need strong technical skills, especially in Python. Be prepared to discuss your experience with data analysis and tool development, and consider bringing examples of your work or projects that demonstrate your proficiency.
✨Demonstrate Your Analytical Thinking
The role requires strong analytical thinking and attention to detail. During the interview, highlight specific instances where you've successfully analysed data or solved complex problems, particularly in experimental design or infrastructure assessment.
✨Communicate Clearly and Effectively
Clear technical communication is essential for this position. Practice explaining complex concepts in simple terms, as you may need to present findings to clients and stakeholders who may not have a technical background.
✨Prepare for Questions on Emerging Technologies
Since the role involves working with automated vehicle systems and machine learning, be ready to discuss your understanding of these technologies. Research current trends and think about how they apply to asset management and transport infrastructure.
