Acknowledgement of Country UTS acknowledges the Gadigal people, the Boorooberongal people of the Dharug Nation, the Bidjigal people and the Gamaygal people upon whose ancestral lands our University stands. We would also like to pay respect to the Elders past, present and emerging, acknowledging them as the traditional custodians of knowledge for these lands. Our vision is to be a leading public university of technology recognised for our global impact. We are a dynamic and innovative university, ranked by the Times Higher Education as Australia's top young university, and located on Gadigal land (Ultimo, NSW). About the School The UTS School of Computer Science, is a powerhouse of innovation and real-world engagement. Ranked 2 in Australia for Computer Science, the School is forward-thinking, future-focused, and deeply connected to industry. We empower students and researchers to imagine, design, and build the technology of tomorrow. About the Faculty UTS Faculty of Engineering warmly invites applications from underrepresented groups including women, Indigenous Australians, people with visible and non-visible disability, neurodiverse individuals, those who identify as LGBTQIA and applicants from diverse cultural and linguistic backgrounds. UTS was one of the first Australian institutions to receive the Athena SWAN Bronze Accreditation for our commitment to action addressing gender equity in the STEMM disciplines. We're actively creating a more inclusive and supportive community through initiatives like Flexible Working, Wingara Indigenous Employment Strategy, LGBTQIA community support, Multicultural Women's Network and the UTS Access and Inclusion Plan. About the Role The Postdoctoral Research Associate (PDRA) will work with the CI at UTS across the full research lifecycle of the ARC Discovery Project &The Paradox of Generative Data: Ensuring Security and Privacy&. The PDRA's responsibilities span three interconnected areas: System Design and Synthetic Data Generation - The PDRA will contribute to the architectural design of the synthetic data generation pipeline, including the selection and evaluation of generative models (e.g. GANs, diffusion models, LLMs) and the development of frameworks to assess data fidelity, utility, and privacy risk. Security and Privacy Methods - The PDRA will develop and evaluate algorithms to improve the security and privacy of generative data outputs, including privacy-preserving techniques and threat modelling for synthetic data misuse scenarios. Proactive and Multimodal Detection - As the primary focus, the PDRA will design and implement proactive detection methods to identify manipulations and integrity violations in generative data across modalities (text, image, and structured data), contributing directly to Task 3 of the project workplan. In addition, the PDRA will also co-supervise HDR students. About You The incumbent is expected to have a deep understanding of generative AI models and their associated security and privacy risks. The incumbent will also have a developing record of peer-reviewed publications in reputable venues in the areas of generative AI, cybersecurity, privacy, or closely related fields. As the successful applicant, you will also have; PhD in Computer Science, Artificial Intelligence, Cybersecurity, or a closely related discipline, awarded or near completion at the time of appointment Hands-on experience with mainstream deep learning frameworks (e.g. PyTorch, TensorFlow) and their application to generative modelling or detection tasks Demonstrated research experience in at least one of: synthetic data generation, multimodal detection, privacy-preserving machine learning, or adversarial robustness Experience implementing and evaluating machine learning pipelines, including model training, benchmarking, and ablation studies Practical experience with data security measures and privacy risk assessment in digital systems Experience contributing to collaborative or externally funded research projects, including milestone tracking and research reporting, is desirable For the full list of selection criteria, please refer to the Position Statement attached in the documents section below this advert. Remuneration & Benefits Base Salary Range: $95,565 - $ 116,393 pa (Level A) 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 12 months. UTS staff also benefit from a wide range of Employee Benefits, including flexible work practices, generous parental leave and salary packaging opportunities. How To Apply Please click the Apply link to be taken to the UTS website. Here you can download: full details of the application process; a copy of the position statement; and information on remuneration, benefits, terms and conditions Please ensure that the file name for each document submitted includes IRC339200 and your name . For specific inquiries or issues with your application, please contact the UTS Recruitment Team at uts.edu.au Closing Date: Thursday 4 June 2026 at 11:59 PM (AEST) Applicants must have existing work rights valid for the duration of this appointment. UTS prioritises safety, respect, and inclusion for every member of our community. In support of this, and in line with our statutory obligations under the National Code to Prevent and Respond to Gender-Based Violence 2026, all prospective employees must declare any past investigations relating to gender-based violence. Employment at UTS is contingent upon completion of this declaration, and, where necessary, assessment of any identified risk factors. We appreciate your role in upholding the standards and behaviour expected of our community. Accessibility UTS Recruitment is committed to digital accessibility. If you encounter any difficulties with our advertising content, please let us know so we can make our information accessible to all. If you have a disability that requires adjustments to the recruitment process or an alternative application pathway, please contact uts.edu.au for assistance.
