Postdoctoral Research Fellow in Machine Learning and … – Times Higher Education

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Jobseekers:
Postdoctoral Research Fellow in Machine Learning and Neuromorphic Engineering, MARCS Institute for Brain, Behaviour and Development
MARCS Institute for Brain, Behaviour and Development + 
The International Centre for Neuromorphic Systems (ICNS)
About Western Sydney University
Western Sydney University is a modern, forward-thinking, research-led university, located in the heart of Australia’s fastest-growing, economically significant region. The University has 12 campuses, more than 200,000 alumni, almost 50,000 students and approximately 3,500 staff. Our Schools teach an array of programs and degrees carefully structured to meet the demands of future industry and society and the University is ranked in the top two per cent of universities worldwide, with over 85 per cent of its assessed research rated at ‘World Standard’ or above.
In 2022, the University was placed 1st worldwide and in Australia for its commitment to the United Nations’ Sustainable Development Goals in the Times Higher Education (THE) University Impact Rankings. Our Strategic Plan stipulates that, starting in Western Sydney, our students will succeed, our research will have impact and our communities will thrive through our commitment to excellence, sustainability, equity, transformation and connectedness.
The mission is driven by four strong values:
About ICNS
ICNS is a centre within the MARCS Institute for Brain, Behaviour and Development. ICNS is explicitly interdisciplinary, by combining electrical engineering, computer science, signal processing, and neuroscience. ICNS’s focus is on developing Neuromorphic Engineering solutions to existing problems. The centre has strong international partnerships within the Neuromorphic engineering community. Further information is available from the website – http://westernsydney.edu.au/icns
About MARCS
The MARCS Institute for Brain, Behaviour and Development is an interdisciplinary research institute of WSU. The vision for the Institute is to optimise human interaction and well-being across the lifespan. To strive to solve the problems that matter most through the themes: sensing and perceiving, interacting with each other, and technologies for humans. Researchers in MARCS come from many disciplines including cognitive science, developmental psychology, language science, music science, cognitive neuroscience, and biomedical, electrical, electronic and software engineering. Further information is available from the website – http://www.westernsydney.edu.au/marcs
ICNS are looking for a Postdoctoral Research Fellow in Machine Learning and Neuromorphic Engineering who will work towards research in neuromorphic sensing and processing across a variety of sensing modalities and applications depending on candidate interest.
These may include one or more of the following areas:
The Postdoctoral Research Fellow will work with Dr Saeed Afshar and Professor André van Schaik.
For further information please refer to the attached Position Description.
Remuneration Package: Academic Level A $106,765 to $128,989 p.a. (comprising Salary of $90,218 to $108,997 p.a., plus Superannuation and Leave Loading)
Position Enquiries: Please contact Dr Saeed Afshar – s.afshar@westernsydney.edu.au
Closing Date: 8:30 pm, Monday 30 October 2023
Immigration Sponsorship: Employer Visa sponsorship will be provided if required
For further information and details on how to apply, please visit the University vacancies page.
The MARCS Institute and ICNS are committed to a culture that embraces equity and a diverse and inclusive community where everyone participates in a safe and respectful environment. We welcome applicants from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, people of Aboriginal and Torres Strait Islander descent, people with disability and those with caring and family responsibilities.
Note: Only those applications submitted via the WSU online recruitment system will be accepted.
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