We are looking for two (2) rising academic stars to join our world class Electrical and Electronic Engineering team and help solve the challenges of the future.
- Two (2) New 2.5 year fixed-term positions
- Research Focus - Systems & Control; Robotic navigation; Optimisation or Signal Processing
- Female academics particularly encouraged!
About University of Melbourne The University of Melbourne is consistently ranked among the leading universities in the world, at number 1 in Australia and number 32 in the world (Times Higher Education World University Rankings 2017-2018). We are globally engaged, comprehensive, research-intensive and committed to responding to the major challenges of our time.
About Melbourne School of Engineering (MSE)
Working at MSE is exciting and fast moving. We are working hard to transform engineering and IT research and teaching, guided by MSE 2025, our ten-year strategic plan. With an expected investment of $1 billion in people and infrastructure, we are creating the entrepreneurial leaders and technology of the future.
We are the oldest engineering school in Australia - initially founded in 1861 - and have evolved into a vibrant community of internationally recognised researchers focused on addressing major challenges of today and into the future.
About the School of Electrical, Mechanical and Infrastructure Engineering (EMI)
We encompass the Electrical, Mechanical and Infrastructure Engineering Departments, recognising that engineered systems of present and future significance increasingly have connections to all three.
The Control and Signal Processing (CSP) group in the Department of Electrical and Electronic Engineering has many internationally recognised researchers, including Fellows of learned Academies and the IEEE, who collaborate on challenging research problems of impact to society, resulting in a fertile and supportive research environment that enables researchers to reach their full potential.
The CSP group seeks to appoint up to two Research Fellows to work on a multidisciplinary project on perception, navigation and spatial awareness in autonomous robots, using vision or other sensing modalities, and inspired by neurological insights. The successful candidates will be expected to conduct original theoretical research on this theme and implement the resulting algorithms on a robotic testbed. It is anticipated that there will be opportunities to visit and collaborate with institutions in Boston, USA. There is potential to appoint candidates with significant experience at level B.
This exciting career opportunity will support you, independently and as a member of the team, to work across all four pillars of an academic career and you will have responsibility to deliver:
- Advancement of your discipline - through research
- Contributions to your department's teaching program, through co-supervision of student projects and occasional lectures
- Engage with external networks to foster collaborative research partnerships
We know that to drive systemic change towards gender equity, MSE must work hard to lift the representation of women academics from 22% in 2018 to at least 30% over the next five years pursuant to a Special Measure under Section 12(1) of the Equal Opportunity Act 2010 (Vic). MSE is committed to remedying this gender imbalance and providing a supportive environment where women in academia are supported in achieving their aspirations as they work toward fulfilling careers.
Selection criteria includes:
- A PhD in the area of control, robotic navigation, optimisation or statistical signal processing, or an equivalent qualification;
- A record of quality research as evidenced by publications in leading journals and at conferences commensurate with opportunity
- Strong theoretical and analytical skills in formulating, analysing and solving problems
- A commitment to pursue the research topics of perception, navigation and spatial awareness in autonomous robots
- Experience in taking the initiative, working with minimal supervision and prioritising tasks to achieve project objectives
- Demonstrated capacity to communicate research concepts to technical audiences.
- Ability to work as part of a team that includes research students, and junior and senior researchers.
- Good interpersonal and communication skills when interacting with students, researchers, professional staff and external stakeholders.
- Experience using mobile robots
- Familiarity with vision-based methods for mapping, localisation, and navigation
- Familiarity with information theory and stochastic control
- Experience with the implementation of numerical methods and engineering applications of optimisation techniques in real-time control of dynamical systems;
- Exposure to mathematical foundations of learning, graph theory, and combinatorial optimisation.
What we offer 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 challenging and rewarding role we're ready to meet you.
How to Apply
Apply online, complete the application and upload your Cover Letter and Resume.
While we review your application, get to know us by visiting http://www.eng.unimelb.edu.au/about/join-mse/why-join-mse