Postdoctoral Fellow

This postdoctoral position focuses on machine learning engineering to develop a digital therapeutic for depression using closed-loop non-invasive brain stimulation. The role is research-intensive and requires expertise in data science, analytics, software engineering, and machine/deep learning, particularly in health and medical informatics. The fellowship is for approximately 11 months.

• Please note: The preferred candidate must have rights to live and work in Australia and will be required to complete mandatory pre-employment declarations and background checks relevant to the role they have applied for, in accordance with the Background Checking Procedure and the National Higher Education Code to Prevent and Respond to Gender-Based Violence .

• The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation.
• We also offer generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, staff and family tuition fee discounts, ANU school holiday programs, and childcare facilities on campus.
• For more information, visit: https://services.anu.edu.au/human-resources
• The Postdoctoral Fellow in Machine Learning Engineering role exists at the School of Computing in the ANU Neuroinformatics group and is research intensive in an externally funded Medical Research Future Fund (MRFF) grant project across the University in Computer and Health Sciences.
• Applications are particularly invited from researchers in Data Science and Analytics who undertake high-impact collaborative and transdisciplinary Software Engineering and Machine/Deep Learning Research in Health and Medical Informatics.