Job no: 0049755
Work type: Fixed Term
Division/Faculty: Melbourne School of Engineering
Department/School: School of Computing and Information Systems
Salary: $72,083 - $97,812 (Level A)
Role & Superannuation rate: Academic - Full time - 9.5% super
The University of Melbourne is consistently ranked among the leading universities in the world, we are globally engaged; comprehensive; research-intensive; and committed to responding to the major challenges of our time.
The Melbourne School of Engineering (MSE) is strongly committed to supporting diversity and flexibility in the workplace. Improving the representation of women is necessary in our goal to innovate and to strengthen MSE’s reputation as a best-in-class centre of research.
About the School of Computing and Information Systems (CIS) We are international research leaders with a focus on delivering impact and making a real difference in three key areas: data and knowledge, platforms and systems, and people and organisations.
At the School of Computing and Information Systems, you'll find curious people, big problems, and plenty of chances to create a real difference in the world.
We are currently seeking a Research Fellow in Artificial Intelligence for Decision Support to contribute to the development and application of artificial intelligence algorithms to support decision making for improved malaria control in the Asia-Pacific region.
This is a 2 year fixed-term opportunity to support collaborating investigators across two closely related research consortia: "Supporting Participatory Evidence generation to Control Transmissible diseases in our Region Using Modelling (SPECTRUM)" and "Supporting Preparedness in the Asia-Pacific Region through Knowledge (SPARK)".
This role will provide you with both valuable professional experience in a thriving infectious disease modelling group as well as the opportunity to make a real impact on the control of malaria, which currently poses a major global health threat. Two key functions of this role will be the development of novel algorithms to undertake automated analysis of malaria databases to support early detection of anomalies, and development of decision tools and algorithms based on adaptive control theory to support malaria programs.
- PhD in Computer Science or other discipline with a strong computational focus;
- Demonstrated ability to design, implement and test computer code implementing computational models, artificial intelligence algorithms or other quantitative analysis tools;
- A track record of quality research as evidenced by research publications in leading conferences and journals commensurate with opportunity;
- Demonstrated ability to perform independent research and a commitment to interdisciplinary research;
- Demonstrated experience in using initiative, working with minimal supervision and ability to prioritise tasks to achieve project objectives within timelines;
- Excellent written and verbal communication skills, demonstrated by presentation of research results at conferences, internal forums and through manuscript submissions.
- Excellent communication and interpersonal skills, including an ability to interact with internal and external collaborators and stakeholders from different disciplines and sectors in a courteous and effective manner;
- Enthusiasm for addressing research questions relevant to human health and wellbeing.
What we offer you
We offer flexibility, whatever that may mean for you. Many of our benefit programs and onsite amenities are aimed at supporting you - including generous leave, child care subsidies, discounted parking, medical and health care. We offer extensive opportunities for personal and professional development, and we’ll support you in doing what you love.
We seek to increase the diversity of our workforce and the representation of all members of our community that have been traditionally under-represented.
If you’re curious, motivated and ready to undertake a meaningful and rewarding role we’re ready to meet you.
How to Apply
Apply online, complete the application and upload your Cover Letter, Resume and Statement addressing the Selection Criteria.
While we review your application, get to know us by visiting http://www.eng.unimelb.edu.au/about/join-mse/why-join-mse