Two positions are available for students interested in PhD studies at The University of Melbourne in collaboration with the Commonwealth Scientific and Industrial Research Organisation (CSIRO) based in Geelong. The selected candidates will work in a multidisciplinary team on a project titled “Robotic additive manufacturing of 3D fibre-reinforced composite structures’’, and will have access to laboratory facilities in both CSIRO and The University of Melbourne, with unique opportunities for collaboration and development of innovative ideas and skills.
Additive manufacturing (AM), popularly known as 3D printing, is a process of joining materials to make objects from 3D model data, line-by-line and layer-by-layer, as opposed to subtractive manufacturing methods used in traditional machining. Despite enormous progresses made in recent years, the mechanical performance of current 3D-printed composite parts is still very poor in comparison with parts made from conventional 3D textile preforms. This project addresses the fundamental shortcomings of current 3D-printing technology by developing innovative strategies for manufacturing high-performance fibre-reinforced composite parts. The objective is to greatly expand the opportunity for 3D-printing technology so that the fibre and polymer properties can be utilised to their maxima while retaining the inherent benefits of additive manufacturing.
The students will work with a postdoctoral fellow on the project and supervisors in CSIRO and The University of Melbourne, including construction of prototype robotic additive manufacturing systems, design and optimisation of 3D composite parts, fibre path planning, sensing, actuation and advanced control strategies.
To be eligible to apply you must be able to meet University of Melbourne admission criteria: https://study.unimelb.edu.au/how-to-apply/graduate-research
Requirements: Applicants need to have academic qualifications in either Electrical Engineering or Mechatronic Engineering. A good fundamental knowledge of control theory is needed. Some experience of implementation of control algorithms in real robotic systems is preferred.
- Experience of fundamental knowledge of feedback control systems
- Competent in data analysis and basic statistics
- Experience of sensors and actuators for given specifications
- Good written and oral communication skills
- Strong motivation, with evidence of independent research skills relevant to the project
- Good time management
- Experience with LaTeX, LabVIEW and ROS
Applications close: Tuesday, 11 Feburary, 2020
Interested applicants are invited to email Dr Menghe Miao (email@example.com) or Prof Ying Tan (firstname.lastname@example.org) with a CV and cover letter outlining your suitability and motivation for the role.
More details on this opportunity are available here.
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