Job Reference
1610540
About the Project
This project focuses on developing AI‐assisted digital twin systems to enhance the performance and safety of road infrastructure. It aims to deliver next‐generation road barrier designs by integrating robotic systems, advanced sensing technologies, and intelligent data pipelines for real‐time monitoring and predictive simulation.
About the Role
We are seeking a motivated Research Associate to join our interdisciplinary team. The role involves contributing to AI‐enabled digital systems with a focus on robotic control, visual sensing, and field‐based data acquisition in dynamic environments. You will work across both computational and field‐based settings, supporting on‐site deployment, system integration, and high‐quality research outputs.
Responsibilities
* Conduct high‐quality research in AI‐driven digital twin and intelligent infrastructure systems.
* Design and implement robotic control and autonomous data acquisition systems.
* Develop and integrate visual sensing technologies for monitoring applications.
* Support field deployments and data collection across metropolitan and remote sites.
* Analyse and interpret data, preparing technical reports.
* Contribute to publications in leading journals and present research outcomes.
* Participate in team discussions, project planning, and collaborative activities.
Essential Requirements
* PhD in Engineering, Robotics, Computer Science or a related discipline (or near completion).
* Demonstrated research experience with evidence of (or potential for) publication in high‐quality journals.
* Strong written and verbal communication skills.
* Strong programming skills in Python and/or C++.
* Experience or knowledge in robotics, control systems, or autonomous operation algorithms.
* Experience or exposure to visual sensing systems or intelligent data acquisition.
* Ability to work effectively in a dynamic, multidisciplinary environment and with a range of industry partners.
Desirable Requirements
* Experience in field‐based engineering or on‐site data collection.
* Exposure to infrastructure systems, digital twin technologies, or civil engineering applications.
Role Requirements
* Fixed‐term contract: you must have work rights matching the tenure of the role; visa eligibility will be considered.
* Successful applicants are subject to a National Police Clearance, background, integrity, and reference checks acceptable to Curtin.
* Willingness to undertake fieldwork, including travel to regional and remote sites.
Diversity & Inclusion
First Nations people, those identifying as LGBTQIA+, parents, carers, people of all ages, abilities, and genders, and people of diverse ethnicity, nationality and faith are encouraged to apply. Curtin University is committed to fostering an inclusive, diverse workplace and supporting equitable employment outcomes in STEMM disciplines.
Employment Details
One‐year fixed‐term, full‐time role (ALA level) with remuneration ranging from $83,371 to $112,487 (ALA) plus 17% superannuation. Benefits include superannuation, paid parental leave, annual leave, public holidays, and medical centre access.
Applications close 9pm (AWST), Monday, 8 June 2026.
#J-18808-Ljbffr