Postdoctoral Research Associate

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 As the Postdoctoral Research Associate, you will support the Chief Investigator (Professor CT Lin) in delivering key project outcomes and co-supervising PhD students aligned with the project 'Mind-reading AI to translate silent speech into words'. This role provides the successful candidate the opportunity to develop own research capabilities, build a strong research track record, and pursue prestigious competitive research grants. About You The incumbent is expected to have a strong background in deep learning, optimization, reinforcement learning, neural signal processing, and human-AI interaction frameworks. As the successful applicant, you will also have; A PhD in AI, Neuroscience, Computer Science, or related discipline (completed within the last 3 years) Deep technical expertise in AI model development, Reinforcement learning algorithms, EEG signal processing, large language model agent development, and Human-AI interface design Proficiency in Python, NumPy, Torch, and machine learning frameworks Familiarity with EEGLab and MATLAB Experience in collaborative research environments Project and time management skills Base Salary Range: $94,152 - $114,672 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 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 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; information on remuneration, benefits, terms and conditions Please ensure that the file name for each document submitted includes IRC and your name. For specific inquiries or issues with your application, please contact the UTS Recruitment Team at Closing Date: Monday 15 December 2025 at 11:59 PM (AEST) Please note: Interviews for this vacancy will be scheduled for January 2026. We are considering international applicants for this opportunity 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 for assistance. #J-18808-Ljbffr