An opportunity has arisen for a Research Associate to work on an exciting project ‘Increase construction productivity using 3D computer vision & BIM to automate project progress and quality reporting’. This is a collaboration with the construction deeptech startup, Contilio, funded through Innovate UK. The aim of this project is to develop an innovative and first to market software prototype for automating performance & progress reporting...
Job listing information
- Reference ENG00819
- Date posted 10 April 2019
- Closing date 10 May 2019
An opportunity has arisen for a Research Associate to work on an exciting project ‘Increase construction productivity using 3D computer vision & BIM to automate project progress and quality reporting’.
This is a collaboration with the construction deeptech startup, Contilio, funded through Innovate UK. The aim of this project is to develop an innovative and first to market software prototype for automating performance & progress reporting for the $12Trn construction industry, using 3D computer vision, deep learning and BIM.
You will join the Centre for Systems Engineering and Innovation, and the project will have access to input from Professor Whyte in the Department of Civil and Environmental Engineering and Dr Leutenegger, a senior lecturer of Robotics in the Department of Computing and co-lead of the Dyson lab.
This is a fixed term appointment until 30 March 2020.
Duties and responsibilities
The main responsibilities of the position are to:
- Conduct a state of the art research & gap analysis, reviewing and summarizing relevant literature on existing/novel 3D vision and machine learning techniques;
- Benchmark Deep Learning frameworks, libraries & algorithms and recommend improvements
- Contributing to Sandbox data acquisition, processing, and evaluation tasks.
You will also be expected to contribute to the management of the research activities. This includes writing presentations and short reports for project meetings, working closely with Contillo and monitoring your progress in relation to the project plan and milestones.
You must have a PhD (or equivalent) related to data-science, computer vision and/or construction informatics.
You will also have previous experience in the following areas:
- Collaborative research and interacting well and collaborating with engineers, managers and academic colleagues based across different locations
- 3D vision, BIM and/or machine learning techniques in a research environment
- Practical experience within a research environment and / or publication in relevant and refereed journals
You will be highly computer literate with a good knowledge of different computer programming languages (particularly C++ and/or Python) and methods and experience in data presentation and analyses.
Prior experience working with 3D data is highly desirable.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £34,397- £37,486 per annum.
For informal enquiries about the post please contact Professor Jennifer Whyte at email@example.com.
Further information about the post is available in the job description.
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