Lecturer/Senior Lecturer in Machine Learning or Computer Vision

Location
Melbourne, Australia
Posted
06 Nov 2020
End of advertisement period
06 Dec 2020
Ref
G-0049924
Contract Type
Permanent
Hours
Full Time

Work type: Continuing
Location: Parkville
Division/Faculty: Melbourne School of Engineering
Department/School: School of Computing and Information Systems
Role & Superannuation rate: Academic - Full time - 17% super
Salary: $105,232 - $124,958 p.a. (Level B) $128,983 - $148,630 p.a. (Level C) Level of appointment is subject to qualifications and experience

The University of Melbourne

Established in 1853, the University of Melbourne is a public-spirited institution that makes distinctive contributions to society in researchlearning and teaching and engagement. It’s consistently ranked among the leading universities in the world, with international rankings of world universities placing it as number 1 in Australia and number 32 in the world (Times Higher Education World University Rankings 2019-2020).

Melbourne School of Engineering

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.

Our ten-year strategy, MSE 2025, is our School’s commitment to bring to life the University-wide strategy Advancing Melbourne and reinforce the University of Melbourne’s position as one of the best in the world. Investment in new infrastructure, strengthening industry engagement and growing the size and diversity of our staff and student base to drive innovation and develop the transformative technologies of the future are all fundamental principles underpinning MSE 2025.

To find out why you should join MSE, visit:

http://www.eng.unimelb.edu.au/about/join-mse/why-join-mse

The School of Computing & Information Systems

The School of Computing & Information Systems (CIS) undertakes research and teaching across a range of information technology disciplines including Software Engineering, Information Systems, and Computer Science. It offers a comprehensive range of IT courses at all levels, including offerings in science, engineering, and business, and is at the forefront of computing research in Australia and internationally with close links to major computing research initiatives, including CSIRO’s DATA61, IBM Research, and Melbourne Bioinformatics.

The School’s aim is to attract and retain outstanding staff available in order to maintain a leading research and teaching. We have an existing highly successful research team in the area of the appointment, a large number of PhD students, and a substantial cohort of graduate students in our coursework Masters programs.

In early 2021 CIS will move to a new home, Melbourne Connect, which aims to be one of the foremost innovation precincts in the world. Through co-location of talented researchers, scientists, academics and students with private enterprise and government partners in a series of connected buildings; the University seeks to unlock the value of its research in addressing major societal challenges by identifying solutions that are data driven, digitally enabled and socially responsible.

To find out more about CIS, visit: http://www.cis.unimelb.edu.au/

Position Summary

The Melbourne School of Engineering (MSE) is seeking dynamic academics with expertise in machine learning, computer vision, or related fields.

You will have a substantive position in the School of Computing and Information Systems (CIS), will join a world-class machine learning research group, and will have opportunity to interact closely with internationally respected groups across artificial intelligence (AI), natural language processing, databases, security & privacy, algorithms, mathematics & statistics, engineering, law, medicine, and beyond. You will also have opportunity to contribute to related University-level initiatives such as the Melbourne Centre for Data Science (MCDS) and the Centre for Artificial Intelligence and Digital Ethics (CAIDE) .

You will be an aspiring leader in machine learning or vision research, with ambition to publish in high quality journals and conferences across machine learning or computer vision (typified by ICML, NeurIPS, COLT, KDD, AISTATS, UAI, CVPR, ICCV), mentor research students, and secure independent grant funding to support a program of research, in collaboration with colleagues in the School.

You will also contribute to CIS teaching in data science and AI related roles. You will teach into programs including the Master of Information Technology, the Master of Data Science (joint with Statistics), the Master of Business Analytics (joint with the Melbourne Business School), the Master of Applied Analytics, and other graduate, undergraduate and professional development programs, and take on administrative roles commensurate with the position.

The University plan seeks to increase the diversity of the workforce and the representation of women in areas they have been traditionally under-represented. Consistent with this the School is seeking to increase the representation of women in the academic workforce across engineering disciplines. Under a Special Measure, under Section 12 (1) of the Equal Opportunity Act 2010 (Vic) the School is seeking to lift the representation of women from 20% in 2014 to at least 25% over the next 5 years, and strongly encourages applications from suitably qualified female candidates.

Please note that a CV and key selection criteria will not be required at this stage of the application process.

Position Description

Applications close: 06 Dec 2020 11:55 PM AUS Eastern Daylight Time

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