Postdoctoral Research Associate in Digital Twin Decision Systems at GDG on Campus | University of Sydney

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

121054.0

Posted On

21 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Digital Twins, Agentic AI, Embodied AI, Cyberphysical Systems, Human-Centred AI, Causal Modelling, Uncertainty Quantification, Explainable AI, Trustworthy AI, Multiagent Systems, Sequential Decision Making, LLM-based Reasoning, Robotics, Autonomous Systems, Computational Research, Interdisciplinary Research

Industry

technology;Information and Internet

Description

Full time, fixed term opportunity for 18 months This position is available immediately with reasonable flexibility on the star date Base Salary Level A, Step 5-8 $109,263 - $121,054 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 a Postdoctoral Research Associate (Level A) to join a new research stream focused on digital twins as adaptive decision infrastructure for complex cyberphysical human systems, enabled by agentic and embodied AI. Working under the supervision of Dr Neda Mohammadi, the successful candidate will contribute to the development of new concepts, methods, and scalable systems for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of an ambitious research program to advance how digital twins, agentic AI, and cyberphysical systems can improve collective decision quality across interconnected sociotechnical systems such as cities, critical infrastructure, mobility, energy, emergency response, and resilience. The appointee will conduct original research, publish in top-tier academic journals, collaborate with academic and industry partners, and contribute to competitive grant applications and research impact activities. The position offers opportunities for career development, academic mentoring, grant development, and research student supervision, supporting the successful candidate’s development in collaboration and research leadership. Your key responsibilities will be to: conduct high-quality original research on digital twins, agentic and embodied AI, and collective decision making in complex sociotechnical systems investigate new concepts and develop methods for digital twins as dynamic decision infrastructure with human oversight design and implement scalable cyberphysical human systems for scenario generation, planning, and high-stakes intervention design prepare and submit publications to leading academic journals and conferences collaborate with interdisciplinary academic and industry partners, contribute to competitive grant applications and research impact activities, and 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 a Postdoctoral Research Associate in Digital Twin Decision Infrastructure for Critical Sociotechnical Systems who has: a PhD awarded or near completion in a relevant discipline such as systems science, engineering, project studies, computer science, information systems, operations research, or computational social science. evidence of a developing research profile, including publications record relevant to career stage research expertise in one or more of the following: digital twins, cyberphysical systems, human-centred AI causal modelling, uncertainty quantification, explainable AI, or trustworthy AI agentic AI, multiagent systems, sequential decision making, and LLM-based reasoning embodied or physical AI, robotics, autonomous systems, or intelligent infrastructure systems strong programming and computational research skills ability and interest in conducting interdisciplinary research and working effectively across disciplinary and stakeholder boundaries excellent communication skills. Pre-employment checks 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. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, most representative academic publications (up to 3), and any additional supporting documentation such as link to code/other research outputs) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Cherie Goodwin or Rebecca Astar, Recruitment Operations by email to recruitment.sea@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Monday 20 April 2026 11:59 PM Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! So once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you! The University values are excellence, trust and accountability. The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged. The University reserves the right not to proceed with any appointment. The University of Sydney may conduct routine pre-employment checks before an appointment is made. Want to know more about working at the University of Sydney? https://www.sydney.edu.au/about-us.html

Responsibilities

The appointee will conduct original research focusing on digital twins as adaptive decision infrastructure, developing new concepts and scalable systems for networked digital twins supporting autonomous decision-making with human oversight. Key duties include conducting high-quality research, investigating new methods, designing and implementing systems for scenario generation, and preparing publications.