Organisation/Company: UNIVERSITY OF TECHNOLOGY SYDNEY (UTS)Research Field: Computer scienceResearcher Profile: Recognised Researcher (R2), Established Researcher (R3)Country: AustraliaApplication Deadline: 20 Nov 2024 - 00:00 (UTC)Type of Contract: OtherJob Status: Full-timeOffer DescriptionFaculty of Engineering and IT (FEIT)About the Project:Project SMaRTER (Systematic Measurement and Remediation Techniques for Enhanced Tower Reliability) is an exciting initiative in collaboration with Amplitel aimed at revolutionizing the monitoring and maintenance of Australia's mobile tower infrastructure. This project focuses on AI-driven solutions to enhance the integrity and longevity of mobile towers, combining cutting-edge technologies like AI, advanced sensing techniques, and robotics for automated inspection and remediation.As part of this high-impact project, you will contribute to the conceptualization and implementation of the SMART tower of the future, capable of real-time monitoring, predictive maintenance, and AI-enhanced decision-making. This is an unparalleled opportunity to work at the frontier of AI and telecommunications infrastructure.About the Role:We are seeking a Postdoctoral Research Fellow with strong expertise in AI, telecommunications, or robotics. You will lead the development of AI models to analyze mobile tower degradation, automate maintenance schedules, and improve reliability. This role involves collaboration with the UTS Robotics Institute and Amplitel, contributing to groundbreaking work on autonomous tower inspection and the feasibility of robotic systems for tower remediation.In addition, you will supervise six graduate interns, helping to develop the next generation of experts in AI-driven telecommunications maintenance.Key Responsibilities:Develop AI models to predict tower degradation and optimize maintenance schedules using advanced measurement techniques (e.g., impedance spectroscopy, pulse eddy current).Conduct research into AI-enhanced monitoring technologies for mobile towers, integrating passive and active sensing methods.Lead feasibility studies on the design of tower-climbing robots and other autonomous systems for inspection and maintenance.Supervise six paid graduate interns, providing mentorship and ensuring their contributions align with the project's objectives.Collaborate with Amplitel to ensure that research addresses industry needs, focusing on improving asset longevity and operational efficiency.Publish research findings in top-tier journals and present at industry and academic forums.Key Qualifications:PhD in Electrical Engineering, Robotics, AI, Telecommunications, or a related field.Experience in telecommunications infrastructure, particularly in AI-driven monitoring, structural analysis, and automated maintenance systems is preferable.Strong background in AI, machine learning, and sensor technologies for real-time data analysis and predictive maintenance.Experience with robotics, particularly in autonomous systems for infrastructure inspection, is highly desirable.Proven track record of high-impact research publications and presentations at industry forums.Experience supervising students or interns in a research environment is preferred.Why Join Us?Be part of groundbreaking research that is transforming the way telecommunications infrastructure is managed.Work on a high-profile project in collaboration with Amplitel, Australia's largest mobile tower operator.Supervise and mentor graduate interns, helping shape the next generation of telecommunications and AI professionals.Collaborate with world-class researchers at the UTS Robotics Institute, a leader in autonomous infrastructure inspection and AI technologies.Contribute to a diverse and innovative research environment at UTS, recognized for its commitment to STEM diversity and indigenous engineering participation.Base Salary Range: $121,566 to $143,880 pa (Level B)This role attracts 17% superannuation (pension) in addition to the base salary.This position is full-time and an appointment will be made on a fixed term basis for 4 years.UTS staff also benefit from a wide range of Employee Benefits, including flexible work practices, child care centres, generous parental leave, and salary packaging opportunities.How to Apply:Only those applications submitted via the UTS online recruitment system will be accepted. Please include the following in your application:Current CVCover LetterBrief research statement outlining your experience in AI, telecommunications, and roboticsPlease ensure that the file name for each document submitted includes reference IRC297961 and your name.Specific enquiries or issues with the application process may be directed to the UTS Recruitment Team at ****** are considering international applications for this opportunity!Accessibility:UTS Recruitment cares about digital accessibility. If there is any content in our advertising that you have struggled with, please make us aware so that we can make our information accessible to all.In addition, if you have a disability that requires adjustment to the recruitment process or an alternative application pathway, please contact ****** for assistance.
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