Research Fellow in Brain-Computer Interfaces
Role type: Full time/Fixed-term up to 3 years
Faculty: Faculty of Engineering and Information Technology
Department/School: School of Chemical and Biomedical Engineering
Salary: Level A $80,258* - $108,906 p.a. plus 17% super (*PhD entry Level A.6 - $101,460 p.a.)
The University of Melbourne would like to acknowledge and pay respect to the Traditional Owners of the lands upon which our campuses are situated, the Wurundjeri and Boon Wurrung Peoples, the Yorta Yorta Nation, the Dja Dja Wurrung People. We acknowledge that the land on which we meet and learn was the place of age-old ceremonies, of celebration, initiation and renewal, and that the local Aboriginal Peoples have had and continue to have a unique role in the life of these lands.
About the Role
The University of Melbourne is seeking a proactive postdoctoral Research Fellow to join its Department of Biomedical Engineering as part of the Moonshot Research and Development Program funded by the Japan Science and Technology Agency (JST). The project's objective is to develop advanced machine learning algorithms to decode neural information from intracranial electroencephalography (iEEG) recordings and enhance the accuracy and reliability of brain-computer interfaces (BCIs). The Research Fellow will conduct research in deep learning and other cutting-edge machine learning methods, analyse recorded signals, and prepare research outcomes for publication in conferences and journals.
The role may require independent travel to Japan for 1-3 months each year to collaborate with partners at Osaka University.
The successful candidate will be responsible for publishing the research results in conferences and journals. The position may also entail minor teaching and research supervision duties in related areas of research.
- Contribute towards the research effort of the team and develop research expertise and deliver against research objectives in a timely manner.
- Under the guidance and support of Senior Academic staff, conduct internationally competitive research resulting in publications in high impact journals.
- Undertake occasional teaching, tutorials, marking and laboratory duties as required by the Department/School.
- Engage with relevant professional and industry bodies and stakeholders to foster collaborative partnerships.
This is an exciting opportunity for a talented postdoctoral Research Fellow to join a cutting-edge project focused on pushing the boundaries of biological limitations through physical, cognitive, and perceptual augmentation. In collaboration with partners at Osaka University, this role presents an excellent opportunity for personal and professional development and the chance to make significant contributions to ground-breaking research.
To be successful in this role, you should be self-motivated, organized, and able to work independently with minimal supervision while prioritizing tasks effectively. You should possess excellent communication skills, both written and verbal, with the ability to articulate complex research concepts to both technical and non-technical audiences. Additionally, you should have strong interpersonal skills and the ability to interact effectively with stakeholders from diverse backgrounds.
You will also have:
- PhD in Biomedical Engineering, Electrical Engineering, Mathematics, Computer Science, or equivalent
- Strong background in machine learning specifically deep neural networks
- Excellent programming skills
To ensure the University continues to provide a safe environment for everyone, this position requires the incumbent to hold a current and valid Working with Children Check.
Please note: To be considered for this role you must have current valid work rights for Australia.
About the University
The University of Melbourne is consistently ranked amongst the leading universities in the world. We are proud of our people, our commitment to research and teaching excellence, and our global engagement.
About - Faculty of Engineering and Information Technology
For over 150 years, the Faculty of Engineering and Information Technology (FEIT) has been at the forefront of engineering and IT education and research in Australia. We are a diverse and interdisciplinary school, comprised of three main areas: Computing and Information Systems (CIS), Chemical and Biomedical Engineering (CBE), and Electrical, Mechanical and Infrastructure Engineering (EMI).
The Department of Biomedical Engineering is a flourishing academic unit that specializes in tackling complex problems at the intersection of engineering and the life sciences. Its research is diverse and encompasses a broad range of fields, including biomaterials, biomechanics, neuroengineering, and synthetic biology. The department has a strong commitment to collaboration and maintains extensive partnerships with leading institutions, industry, and hospitals both nationally and internationally.
Benefits of Working with Us
In addition to having the opportunity to grow and be challenged, and to be part of a vibrant campus life, our people enjoy a range of rewarding benefits:
- Flexible working arrangements, generous personal, parental and cultural leave
- Competitive remuneration, 17% super, salary packaging and leave loading
- Free and subsidised health and wellbeing services, and access to fitness and cultural clubs
- Discounts on a wide range of products and services including Myki cards and Qantas Club
- Career development opportunities and 25% off graduate courses for staff and their immediate families
To find out more, visit https://about.unimelb.edu.au/careers/staff-benefits.
We value the unique backgrounds, experiences and contributions that each person brings to our community and encourage and celebrate diversity. First Nations people, those identifying as LGBTQIA+, females, people of all ages, with disabilities and culturally and linguistically diverse people are encouraged to apply. Our aim is to create a workforce that reflects the community in which we live.
If you feel this role is right for you, please submit your application including a brief cover letter, your resume and your responses against the selection criteria^ (found in the Position Description) for the role.
^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria
We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require any reasonable adjustments with the recruitment process, please contact us at firstname.lastname@example.org.
Applications close: 31st May 2023 11:55 PM AUS Eastern Standard Time
Position description: 0059552_Research Fellow in Brain-Computer Interfaces_PD.pdf