Civil & Enviromental Engineering
Location: Guildford
Salary: £32,332 to £34,980 per annum and dependent on level of experience
Fixed Term Contract until 31/07/24
Post Type: Full Time
Closing Date: 23.59 hours GMT on Thursday 08 February 2024
Interview Date: To be confirmed
Reference: 003524
The University of Surrey is a global community of ideas and people dedicated to life-changing education and research.
We have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.
Through providing a supporting and friendly environment our culture empowers people to make a real difference collectively.
The role
Applications are invited from talented and enthusiastic candidates to conduct research on developing data-driven indirect damage detection systems for railway bridges. An automated, reliable and efficient monitoring system that automatically monitors bridges while passing over drives down the human, economic and environmental costs associated with a visual inspection, results in transforming maintenance regime optimisation whilst avoiding premature/immediate replacements results in a step-change increase in productivity.
The aim of the project is to develop a data-driven indirect damage detection system for railway bridges, using vibrations on an instrumented vehicle to monitor and inspect the bridge while travelling at operational speed.
About you
The successful candidates must hold an MEng/MSc in Engineering, Computer Science, Mathematics, Physics, AI or other relevant major degrees. They will bring strong domain knowledge in vehicle dynamics as well as signal processing, deep learning and self-supervised algorithms. Previous experience in defects identification system development and applying physics-informed ML and AI methodologies will be highly desirable.
With excellent written and oral communication skills and attention to detail, they will be proactive, keen to work in a multidisciplinary environment, and have experience in disseminating research findings in well-ranked journals. Experience in programming languages such as Matlab, Python or R is essential.
The successful applicant will use state-of-the-art experimental facilities across the Faculty of Engineering and Physical Sciences and interact with industrial and academic collaborators. They will be proactive, keen to work in a multidisciplinary environment, and have experience in disseminating research findings in well-ranked journals.
The University of Surrey is a short walk from Guildford town centre, adjacent to the Surrey Hills Area of Outstanding Natural Beauty, and 40 minutes by train from central London.
How to apply
Please apply online and include:
- A curriculum vitae (including qualifications and publications).
- A cover letter to articulate how your track record is suitable for this project
For informal enquiries, please contact Dr Donya Hajializadeh at [email protected]
Further details: Job Description
For more information and to apply online, please download the further details and click on the 'apply online' button above.
In return we offer a generous pension, relocation assistance where appropriate , flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.
Click here to find out more about the benefits we offer to support you.
The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.
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