- Full time, fixed term until Feb 2027. Located at the School of Biomedical Engineering on the Darlington Campus
- A unique opportunity to drive AI innovations in biomedical data processing and precision healthcare
- Base Salary, Level A, $105,314 – $116,679 + 17% superannuation
About the opportunity
The School of Biomedical Engineering is seeking a talented Postdoctoral Research Associate in AI for Physiological Data Processing.
A myriad of scientific and societal challenges exists in the area of Biomedical and Health Informatics, such as the interpretation of multimodal biomedical signals with high accuracy and reliability, data mining, early detection and warning of diseases. With the rapid development of machine learning, AI and data fusion technology, this has inspired innovations in physiological and behavioural signal processing. The physiological and behavioural signals of the human body consist of EEG, ECG, EOG, EMG, respiration, SpO2, temperature, activities, etc.
In this exciting research, biomedical and health informatics will be further developed by:
- proposing dedicated AI and data science methods to explore and analyse relevant biomarkers and features with high sensitivity and specificity
- building analytical models to enhance the learning performance
- proposing approaches to improve model generalisation
- investigating explainable AI methods; developing information and computing schemes and algorithms for precise disease detection and prediction.
Your key responsibilities will be to:
- work closely with Prof. Wei Chen (Head of School of Biomedical Engineering) and her clinical and industrial partners
- propose novel AI methods and algorithms for physiological and behavioral data processing
- develop innovative methods for algorithm performance enhancement
- design experiments and clinical validation schemes for performance evaluation
- Publish research results in high-quality journals
- draft proposals for relevant funding applications, including ARC and NHMRC
- actively contribute to the management and development of the research lab.
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 AI for Physiological Data Processing who has:
- a PhD (or near completion) in computer and data science, electrical and electronic engineering, biomedical engineering, microelectronics, telecommunication engineering, or related disciplines
- strong expertise in signal processing and AI models and technologies, with an in-depth understanding of the latest advancements and trending AI techniques, including state-of-the-art models and methodologies
- proven skills in algorithm development, with proficiency in AI-related programming languages and frameworks such as Python, TensorFlow, PyTorch, or similar tools
- proficiency in handling large-scale, multimodal datasets and applying advanced AI techniques, such as Large Language Models
- strong interests and research initiative on biomedical signal processing, with papers published in high-quality international journals
- experience in projects related to physiological and behavioral data processing, sleep data analysis, brain signal analysis, and data processing for disease detection and prediction (preferred)
- self-motivation, is responsible and trustworthy, diligent and creative
- good communication skills, teamwork and collaboration
- excellent academic writing 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, and any additional supporting documentation) 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 Nicole Turle, Recruitment Operations by email to recruitment.sea@sydney.edu.au
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Click to view the Position Description for this role.
Applications CloseWednesday 15 January 2025 11:59 PM