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Research Officer (Machine Learning)

Job reference: BEE308261A
Date posted: 28/11/2018
Application closing date: 02/01/2019
Location: School of Built Environment and Engineering, Leeds Beckett University, Leeds
Salary: Grade 5 £29,515 – £33,199
Duration: Fixed Term – 24 Months

This is an exciting opportunity to join a multi-disciplinary and applied research team on a project that involves the development of a software plug-in tool with a view to automating building information modelling and standardization, as well as leveraging historic data in construction projects. The postholder will join a team of academic investigators and collaborating industry partners to apply their knowledge of machine learning, advanced optimisation and software development to address real-life challenges in Architectural, Engineering and Construction (AEC) industries.The position will require a mix of strong technical skills and solid domain knowledge in the area of machine learning-enabled application development. It is essential that the successful candidate demonstrates live examples of their projects that involved the use of machine learning and culminated into the development of a standalone software or a plug-in system. You will either have a relevant master’s degree or an honour’s degree with substantial experience and certifications in Machine Learning and software development.

You will join the School of the Built Environment and Engineering based at our City Campus and support our efforts in addressing real-life productivity challenges within the AEC industries through our cutting-edge and applied research. There are extensive and excellent specialist facilities located in a setting which offers many additional amenities for our students and staff. You will be working in a truly supportive environment, which offers various opportunities for professional development.

To arrange an informal discussion about this post, please contact Dr Saheed Ajayi at S.Ajayi@leedsbeckett.ac.uk.

Working here means you’ll also have access to a wide range of benefits including our generous pension schemes, excellent holiday entitlements, flexible working, reduced study fees, subsidised fitness facilities and a lot more.

Please note that all posts close at midnight and the job description and employee specification will no longer be available after the closing date so please download or print now! You will also not be able to edit or submit a part-completed application form after the closing date.

We welcome applications from all individuals and particularly from black and minority ethnic candidates as members of these groups are currently under-represented at this level of post. All appointments will be based on merit.