Research Fellow in Biomedical Engineering, Musculoskeletal Biomechanics with Machine Learning
Role type: Full time; Fixed-term for 24 months
Faculty: Faculty of Engineering and Information Technology
Department/School: School of Chemical and Biomedical Engineering
Salary: Level A – $77,171 – $104,717 p.a. ($97,558 for PhD entry level) OR Level B -$110,236 - $130,900 p.a. plus 17% super (commensurate with experience)
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 Faculty of Engineering and Information Technology
The Faculty of Engineering and Information Technology (FEIT) has been the leading Australian provider of engineering and IT education and research for over 150 years. We are a multidisciplinary School organised into three key areas; Computing and Information Systems (CIS), Chemical and Biomedical Engineering (CBE) and Electrical, Mechanical and Infrastructure Engineering (EMI). FEIT continues to attract top staff and students with a global reputation and has a commitment to knowledge for the betterment of society.
About the Role
Our innate immune system is the first responder to the detection of threat of diverse origins. This molecular pattern recognition capability is our ultimate integrated surveillance and response system, which has been under active evolutionary development for millions of years. Detecting and responding to threats requires knowledge of immune system to brain events and how they interact with the physical function of the human body.
Working with the University of Melbourne and the Defence Community, this Research Fellow position will involve development of knowledge and technology to detect changes in human movement as a result of a immune system response. The position will work with biomedical and software engineers to carry out biomechanics experiments designed to evaluate patterns of human movement biomechanics using machine learning techniques. This will include human movement data collection experiments with wearables and other sensors, modelling and data analytics. The role is responsible for conducting independent research, leading to the preparation and publication of research outcomes in conferences and journals as well as liaising with defence collaborators and partners.
- Independently plan and carry out research on the nominated research project and work towards completion of the aims of the project
- Contribute to teaching, training and scientific mentoring
- Present experimental and computational results at local, national and international forums
- Assist in the preparation and submission of competitive grant applications relating to the research program
In addition to the above, expectations from a Level B Academic are:
- Produce regular reports, conference and seminar papers and publications associated with the research project.
- Generate conference papers for presentation at national and international conferences
- Plan experimental programs for Research Fellows, students and Research Assistants and effectively supervise or co-supervise honours or postgraduate research projects within research area.
You will have excellent written and verbal communication skills, demonstrated by presentation of research results at conferences, internal forums and through manuscript submissions. You will have the ability to work co-operatively in a multi-disciplinary team environment and liaise with associates from both industry and academia. You will be familiar with human movement modelling and experimentation concepts.
You will also have:
- A PhD or equivalent degree in mechanical engineering, biomedical engineering, or a related discipline
- Capacity to undertake data analytics, with demonstrated experience in machine learning, including artificial neural networks.
- Capability for innovative research, as evidenced by scholarly publication.
Additionally at Level B, you will have:
- Demonstrated ability to perform independent research and a commitment to interdisciplinary research.
- Demonstrated ability to undertake human movement modelling and experimentation with human subjects, as evidenced by research publications in leading conferences and journals commensurate with opportunity
- Demonstrated experience with statistical modelling.
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: The applicant must be an Australian citizen who is able to obtain a baseline security clearance, then subsequently obtain and maintain an NV1 security clearance as determined by the Department of Defence
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.
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.
Position description: DSTG project - Research Fellow PD 0057562.pdf
Applications close: Monday 5 December 2022 11:55 PM AUS Eastern Daylight Time