The Midlands Centre for Data-Driven Metrology
Centre for Doctoral Training
The MCDDM Centre for Doctoral Training will provide a pipeline of trained engineers with expertise in digital manufacturing and metrology techniques. Starting in October 2021, a number of positions will be available to those interested in undertaking advanced study and research in these fields.
Doctoral positions are supported by industrial partners of the MCDDM, and supervised by academics of the University of Nottingham, Lougborough University, and Coventry University. Competitive funding for positions will be available to high-quality UK candidates. Standard admission requirements of each University, including academic and language requirements, will apply to these positions.
Please find below a list of suggested topics for doctoral study, along with details of the supervising academic(s). If you are interested in applying for these projects, please contact Katie Blake as an expression of interest in the first instance.
Send an expression of interest
Cohort Activities
In addition to research projects, doctoral students will gain access to academic skills training and industry mentorship. Students will also take part in team building activities, and attend world-class conferences and research events. Cohorts will also take part in outreach activities and will organise an annual CDT conference to present ongoing research topics.
Current Topics
Topics listed are areas of study offered by the research groups of the Midlands Centre for Data-Driven Metrology. Within the details of each project title you will find information on the supervising academics and the primary location of study for that project.
Creating digital twins using AI for automation and robotics
Primary location of study: Loughborough University
Supervisory team: Dr Niels Lohse, Dr Peter Kinnell
Project detail download
Fibre optic sensing for in-process manufacturing measurements in harsh environments
Primary location of study: Loughborough University
Supervisory team: Dr Laura Justham, Dr Jon Petzing, Dr Peter Kinnell
Project detail download
In-process sensing and machine learning for surface measurement
Primary location of study: University of Nottingham
Supervisory team: Dr Nicholas Watson, Professor Richard Leach
Project detail download
Intelligent 3D scanning for complex objects
Investigation into the sources of uncertainty in the optical measurement of gears
Primary location of study: University of Nottingham
Supervisory team: Professor Richard Leach
Project detail download
Metrology in the context of future 5G-enabled manufacturing systems
Primary location of study: Loughborough University
Supervisory team: Dr Peter Kinnell, Dr Jon Petzing
Project detail download
Quantifying the measurement capabilities of point cloud data across different measurement systems
Primary location of study: Coventry University
Supervisory team: Dr Ranveer Matharu, Professor Trevor Toman
Project detail download
Quantum surface metrology
Real-time control of robots in highly uncertain environments
Sensors for enhanced control in robotic 3D printing
Primary location of study: Loughborough University
Supervisory team: Professor Richard Busswell, Dr Peter Kinnell
Project detail download
Uncertainty evaluation with point cloud data
Primary location of study: University of Nottingham
Supervisory team: Professor Richard Leach
Project detail download