Postdoctoral Research Fellow/Research Officer - School Of Mechanical And Mining Engineering

School of Mechanical and Mining EngineeringJoin a university ranked in the world’s top 50Conduct research within the School of Mechanical and Mining EngineeringApplication study of AIFull time, Fixed-term position from 1 March 2024 until 28 June 2024Based at St Lucia CampusAbout UQAs part of the UQ community, you’ll have the opportunity to work alongside the brightest minds, who have joined us from all over the world, and within an environment where interdisciplinary collaborations are encouraged.As part of our commitment to research excellence, we are proud to provide our staff with access to world-class facilities and equipment, grant writing support, greater research funding opportunities, and post-fellowship contracts via our UQ Amplify initiative.At the core of our teaching remains our students, and their experience with us sets a foundation for success far beyond graduation. Not only do we have one of the largest PhD enrolments in Australia, but we have also made a commitment to making education opportunities available for all Queenslanders, regardless of personal, financial, or geographical barriers.About This Opportunity This is an exciting opportunity for a Postdoctoral Research Fellow / Research Officer to focus their efforts on developing their expertise and emerging research profile in their discipline. At this level it is expected that the incumbent will contribute to service and engagement roles and activities.The primary purpose of the role will be to conduct research within the School of Mechanical and Mining Engineering, focusing on the study of the application of AI (particularly, computer vision) to enhance machining processes in the context of intelligent manufacturing.Key responsibilities will include: ResearchConduct a comprehensive study on the application of AI approaches (Machine Learning, Deep Learning, and Computer Vision etc.) to enhance the machining process and the quality of the product.Develop and evolve novel AI methods, including enabling techniques and algorithms, to enable new forms of intelligent machining processes. Conduct machining experiments, particularly high-speed grinding, to generate a proper dataset for training, developing, and validating the AI models.Work within the team of machining researchers to achieve the objectives of the research project.Utilise a range of characterisation and machining techniques to analyse the microstructural and surface deformation due to ductile, brittle, and transitional material removal of the material during the machining process.Conduct a study to comprehensively understand and model the formation of the material removal mechanism and defects in the machining process using AI.Document research findings and/or publish scholarly papers in high-quality refereed international journals, books and conference proceedings.Teaching and LearningTeach related undergraduate courses if required.Contribute to the effective supervision of Honours and Higher Degree by Research students (as appropriate).Citizenship and ServicePerform a range of administrative functions in the laboratory and/or research group as needed, including an ability and willingness to serve as a laboratory manager if required.Contribute to the development of a…
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