Postdoctoral Research Associate Ai-Driven Sensing And Control For Megaprojectsystems

Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Australia Application Deadline 28 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Full time, Two (2) Year fixed term opportunity.
Located at the Forest Lodge Building on the Camperdown Campus
Advance AI-driven decision-making in future megaprojects.
Base Salary Level A, Step 6 $113,400 p.a + 17% superannuation
About the opportunity
The School of Project Management at the University of Sydney is a leading hub for interdisciplinary research at the intersection of engineering, systems thinking, and organisational studies.
We are seeking aPostdoctoral Research Associate AI-Driven Sensing and Control for Megaproject Systems(Level A) to join a new research stream focused on intelligent sensing and control frameworks for megaprojects.
Working under the supervision of Dr. Wanchun Liu , an Australian Research Council's Discovery Early Career Researcher Award (DECRA) Fellow and expert in cyber-physical systems and AI-driven sensing and control for large-scale systems, the successful candidate will contribute to the development of adaptive decision-making architectures for large-scale, complex project environments.
This project is part of an ambitious research program to integrate real-time sensing, AI-based control, and governance analytics into the future of infrastructure and technology megaprojects.
The appointee will conduct original research, publish in top-tier journals, collaborate with academic and industry partners, and contribute to competitive grant applications.
Your key responsibilities will be to:
conduct high-quality research in intelligent sensing and control for complex project environments
develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning)
design and simulate dynamic models of megaproject systems
prepare and submit journal articles to high-impact publications
contribute to competitive grant proposals and research impact activities
collaborate with interdisciplinary researchers across engineering, management, and AI
supervise or mentor research students, where appropriate.
About you
The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity.
As such, we see the importance of recruiting talent aligned to these values and are looking for aPostdoctoral Research Associate AI-Driven Sensing and Control for Megaproject Systemswho has:
a PhD or near-completed PhD in one of the following fields (or closely related):project Management or Project Studies (with strong computational/AI expertise)
systems Engineering or Control Systems (with applications to large-scale projects)
artificial Intelligence / Machine Learning (with interest in applications to megaprojects or governance)
Demonstrated research expertise in one or more of the following:AI/ML algorithm development (e.g., PyTorch, TensorFlow, scikit-learn)
dynamic modelling and simulation of complex systems
reinforcement learning or graph neural networks
proficiency in Python and related computational toolchains
a strong interest in interdisciplinary research bridging project governance, systems thinking, and intelligent control
excellent written and verbal communication skills
a demonstrated ability to work independently and as part of a team
solid experience with advanced AI algorithms
prior experience in both qualitative and quantitative research methods
familiarity with megaproject delivery models or complex infrastructure systems.
Work Rights
Visa sponsorship is available for this appointment.
Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University.
Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements.
If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.
Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via theApplybutton at the top of the page.
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For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Chris Masaoka, Recruitment Operations by email to .
The University reserves the right not to proceed with any appointment.
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