Research Associate - Photogrammetry for Inspection (101581)
 

Salary range:  £31,604 - £38,833
FTE:  1
Term:  Fixed (24 months)  
Closing Date: 28 February 2018 

The Department of Electronic and Electrical Engineering (EEE) at the University of Strathclyde is seeking to recruit a Research Associate to participate in a multi-partner collaborative research project focused on automated visual inspection / Non-Destructive Testing.

This project will feed into several areas of state-of-the-art research in photogrammetry and sensor fusion running at the University supported by a highly active and growing team of talented researchers. Ongoing projects involve 3D photogrammetry deployed in a diverse and challenging range of applications including the visual inspection of wind turbine blades from drones, 3D model generation to aid medical images of breast tissue and a system for creating photorealistic models of the internal geometry of industrial pipework.

This specific role will consider automated 3D photogrammetry for use in the manufacturing and remanufacturing/refurbishment process. The research will use a large KUKA inspection cell to perform automated visual inspection of two types of sample, notably aerospace composite wing segments during manufacturing and car engines that are to be disassembled for remanufacturing. You will use a form of ‘structure from motion’ to generate textured 3D model of the sample which will be used to guide the inspection process.

Research Challenges:
1. 3D model reconstruction, particularly in situations with low surface detail.
2. Camera calibration and optimization of camera parameters/lighting.
3. Robot programming for optimal camera placement (dynamically positioning camera as the model is built)
4. Fusion with other datasets including laser scans and volumetric ultrasonics.
5. Interface with University of Sheffield team on compressive sensing.
6. Applications to manufacturing and remanufacturing.

This is a fertile area for publication and it is expected that developments are published in high quality journals. The role will require the development of robust software to process real world data and also the design and implementation of laboratory experiments to test ideas. You will work as part of a research team of 15 members, featuring academic staff, postdoctoral researchers and PhD students interested in visual processing research.

To be considered for the role, you will be educated to a minimum of PhD level in a relevant subject (e.g. Electrical or Software Engineering); or have significant relevant experience in addition to a relevant degree. You will have demonstrable capability in algorithm development in Matlab or similar. You will have a strong background in algorithm development, linear algebra and optimisation. You will have an ability to conduct individual research work, to disseminate results and to prepare research proposals. You will have excellent written and verbal communication skills, with an ability to listen, engage and persuade and to present complex information in an accessible way to a range of audiences. You will have the ability to work as part of a team, integrating with existing research team members and collaborating effectively with both academic and industrial partners.

Previous applicants need not apply. 

For informal enquiries, please contact Dr Gordon Dobie gordon.dobie@strath.ac.uk 07791581249

Click here for full details.




  
Faculty
Faculty of Engineering
Department/School
Electronic and Electrical Engineering
Staff Category
Research
Type of Employment
Fixed-term
Working Hours
Full-time
Vacancy Description
 
Salary range:  £31,604 - £38,833
FTE:  1
Term:  Fixed (24 months)  
Closing Date: 28 February 2018 

The Department of Electronic and Electrical Engineering (EEE) at the University of Strathclyde is seeking to recruit a Research Associate to participate in a multi-partner collaborative research project focused on automated visual inspection / Non-Destructive Testing.

This project will feed into several areas of state-of-the-art research in photogrammetry and sensor fusion running at the University supported by a highly active and growing team of talented researchers. Ongoing projects involve 3D photogrammetry deployed in a diverse and challenging range of applications including the visual inspection of wind turbine blades from drones, 3D model generation to aid medical images of breast tissue and a system for creating photorealistic models of the internal geometry of industrial pipework.

This specific role will consider automated 3D photogrammetry for use in the manufacturing and remanufacturing/refurbishment process. The research will use a large KUKA inspection cell to perform automated visual inspection of two types of sample, notably aerospace composite wing segments during manufacturing and car engines that are to be disassembled for remanufacturing. You will use a form of ‘structure from motion’ to generate textured 3D model of the sample which will be used to guide the inspection process.

Research Challenges:
1. 3D model reconstruction, particularly in situations with low surface detail.
2. Camera calibration and optimization of camera parameters/lighting.
3. Robot programming for optimal camera placement (dynamically positioning camera as the model is built)
4. Fusion with other datasets including laser scans and volumetric ultrasonics.
5. Interface with University of Sheffield team on compressive sensing.
6. Applications to manufacturing and remanufacturing.

This is a fertile area for publication and it is expected that developments are published in high quality journals. The role will require the development of robust software to process real world data and also the design and implementation of laboratory experiments to test ideas. You will work as part of a research team of 15 members, featuring academic staff, postdoctoral researchers and PhD students interested in visual processing research.

To be considered for the role, you will be educated to a minimum of PhD level in a relevant subject (e.g. Electrical or Software Engineering); or have significant relevant experience in addition to a relevant degree. You will have demonstrable capability in algorithm development in Matlab or similar. You will have a strong background in algorithm development, linear algebra and optimisation. You will have an ability to conduct individual research work, to disseminate results and to prepare research proposals. You will have excellent written and verbal communication skills, with an ability to listen, engage and persuade and to present complex information in an accessible way to a range of audiences. You will have the ability to work as part of a team, integrating with existing research team members and collaborating effectively with both academic and industrial partners.

Previous applicants need not apply. 

For informal enquiries, please contact Dr Gordon Dobie gordon.dobie@strath.ac.uk 07791581249

Click here for full details.