Research Assistant/Associate in Computer Vision for Infrastructure (Fixed Term)

A position is available in the Department of Engineering at the University of Cambridge for a Research Assistant/Associate to develop cutting-edge digital technologies for infrastructure.

The post holder will be located in West Cambridge, Cambridgeshire, UK.

The successful candidate will contribute to a major research effort focused on Digital Infrastructure and work closely with both national and international academic and industry partners. The role involves the development of innovative solutions for applications such as tunnels, bridges, buildings and shafts.

Key responsibilities include:

• Designing and developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure.
• Applying these advanced technologies to real-world infrastructure challenges through collaboration with industry partners and the use of real-world project data.
• Assisting with the management of a large research group working in the area of "data-centric infrastructure and construction".
• Applying for research grants to support additional complementary research activities.

This position offers the opportunity to contribute to transformative research at the intersection of digital innovation and civil engineering. Applicants are expected to have (or be close to obtaining) a PhD in information engineering, computer science, civil engineering or cognate discipline. They should also have good written and spoken communication skills in English, a strong record of academic and/or professional achievement and previous experience of digital research work.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

Salary Ranges:

Research Assistant: £32,546 - £35,116

Research Associate: £37,174 - £45,413

Fixed-term: The funds for this post are available for 12 months in the first instance.

To apply online for this vacancy and to view further information about the role, please click th e'Apply' button above. 

Please ensure that you upload your Curriculum Vitae (CV; including a list of publications) and a supporting letter in the Upload section of the online application. The supporting statement should cover your motivation for the post, a point-by-point account of how you meet each of the selection criteria and strictly one journal publication/draft, conference paper, or report that exemplifies the quality of your research.

This may include experience gained in employment, education, or during career breaks (such as time out to care for dependants). If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

If you have any questions about this vacancy, please contact Dr Brian Sheil (bbs24@cam.ac.uk) for queries of a technical nature related to the role or csic-admin@eng.cam.ac.uk for queries related to the application process.

Please quote reference NM45544 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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