QFV-303 | Research Fellow in Data Science

QFV-303 | Research Fellow in Data Science

17 Nov
|
UNIVERSITY OF MELBOURNE
|
Melbourne

17 Nov

UNIVERSITY OF MELBOURNE

Melbourne

Work type: Fixed Term

Location: Parkville

Division/Faculty: Melbourne School of Engineering

Department/School: School of Computing and Information Systems

Salary: $73,669 - $99,964 (Level A)

Role & Superannuation rate: Academic - Full time - 17% 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.



Melbourne School of Engineering (MSE) 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). MSE continues to attract top staff and students with a global reputation and has a commitment to knowledge for the betterment of society.



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.



The Melbourne Centre for Data Science is forging a vibrant, research rich and engaging interdisciplinary environment to lead advances in data science for the benefit of society. For more information please visit the MCDS website.



The Opportunity



We are looking for an enthusiastic Research Fellow to join a dynamic research program in the broad context of Data Science. You will play an exciting role in our recently launched Melbourne Centre for Data Science, a partnership between the School of Computing and Information Systems and the School of Mathematics and Statistics.



This role will give you both the opportunity to develop your own independent research projects as well as collaborate with a broad range of partners across a variety of disciplines. You will be supported by Co-Directors, Associate Professor Michael Kirley and Professor Howard Bondell to build and foster relationships across the University and with industry partners.



In addition to conducting internationally competitive research this role will also contribute to teaching students in our new PhD Academy.



Your Profile



This role is suited to someone who is looking to make a real impact on our research initiatives. You will be motivated to drive established and emerging relationships and connect with new research partners.



Critical to your success will be the ability to communicate with both technical and non-technical audiences.



You will have:



- A PhD in Computer Science / Statistics or related field, awarded or submitted for examination.

- An emerging research track record and recognition of high-quality research.

- Excellent interpersonal skills, including an ability to interact with internal and external partners.



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



Please note that applications will be prioritised from those with current working rights in Australia and who are not affected by travel restrictions. We warmly welcome applications from international applicants to be considered for future opportunities and all applications will be considered provided they meet the requirements of the role.



Please see the latest updates to Australia’s immigration and border arrangements during the COVID-19 (Coronavirus) outbreak: https://covid19.homeaffairs.gov.au/



Previous applicants need not apply.



While we review your application, get to know us by visiting http://www.eng.unimelb.edu.au/about/join-mse/why-join-mse



Position Description



Applications close: 26 Nov 2020 11:55 PM AUS Eastern Daylight Time

The original job offer can be found in Kit Job:
https://www.kitjobau.com/job/8559006/qfv-303-research-fellow-data-science-melbourne/?utm_source=html

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