• Full Time
  • Sydney

Website UTSRecruit University of Technology Sydney

A public university of technology recognised for global impact

School of Computer Science & Centre for Artificial Intelligence

At UTS, the concepts of equity and social justice are key to our core and purpose – we are recognised widely as supporting inclusivity and valuing diversity. Cited as a WGEA Employer of Choice since the inception of the award, we are now among the first Australian institutions to receive the Athena SWAN Bronze Accreditation for our commitment to action addressing gender equity in the STEMM disciplines. UTS Equal Futures celebrates and supports women in academia through every stage of their career.

 

As part of Athena SWAN, UTS has set an overarching target of 40 per cent academic women in STEMM by 2022. The School of Computer Science is committed to UTS’s target and supporting the career development of women academics.   

The Centre for Artificial Intelligence (CAI) is an international centre of excellence for the development of enabling technologies for big data science and analytics. The research group led by Professor Yi Yang focuses on computer vision, machine learning, big multimedia data, video content analysis for its high-quality academic research and high impact on industry R&D project development. By bringing together the experts from computer vision and machine learning, CAI and the research group have delivered high-quality solutions to various research problems on computer vision and machine learning, and assist industry partners to develop their solutions for effective production. The School and the Centre sit in our Faculty of Engineering & IT.

 

We are seeking to recruit two Lecturers (Level B) to join Professor Yi Yang’s group to work on computer vision and machine learning research and to contribute to teaching for School of Computer Science.

 

About the role

You will work closely with Professor Yi Yang and the wider academic team in the centre and the school to undertake relevant research projects. You will have the opportunity to produce publications and deliver presentations and to continue to develop your own scholarly standing. You will also provide training to researchers in technologies and best practices, in addition to training in emerging industry trends of relevance to the centre.

 

You will contribute to, develop, and deliver Computer Science courses within the Faculty, primarily related to the areas of AI, Data Analytics, Software Engineering, Cyber Security, and / or Interactive Design, assist in curriculum development, and contribute to the overall development of teaching and learning in the School and the Faculty.

 

About you

You will have excellent communication skills, strong academic writing skills, and demonstrated knowledge in areas directly relevant to Computer Vision, Machine Learning, and Human-Computer Interaction.

 

You will also have:

•                     Ability to teach and coordinate subjects related to the School portfolio and to contribute to curriculum development

•                     Demonstrated ability to undertake empirical research and to obtain National Competitive grants and / or industry grants

•                     Demonstrated ability to forge links with the industry and other key stakeholders

•                     A recent doctorate in an appropriate area of computer science and a record of research achievement.

 

Remuneration & Benefits

Base Salary Range: $102,952 to $121,849 pa (Level B)

This role attracts 17% superannuation (pension) in addition to the base salary.

 

UTS staff also benefit from a wide range of Employee Benefits include flexible work practices, child care centres, generous parental leave and salary packaging opportunities.

 

This positions are full-time and appointment will be made on a fixed term basis for three years.

How To Apply

 

For the full list of the selection criteria and role responsibilities please download the Position Statement from the link below.

 

UTS is committed to diversity and inclusion in our workforce and we encourage applicants, where relevant, to include a relative to opportunity or career disruption/break statement within their CV.

 

You are required to address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Answering Selection Criteria​

 

Only those applications submitted via the UTS online recruitment system will be accepted.  Current UTS employees should apply through their UTS Employee Self Service function. If you are an internal applicant and need help with how to apply through NEO – Click here.

As you will be unable to save your application once started, please have all required documents and information available prior to commencing.

 

Please ensure that the file name for each document submitted includes IRC155689.

 

Specific enquiries or issues with your application may be directed to Pam Price in the UTS Recruitment Team at recruitment@uts.edu.au or on +61 (0) 2 9514 1080.

 

Please be advised that as part of the selection process that you may be requested to deliver a presentation, the audience for which may include individuals not on the Selection Panel.

 

Closing Date:  Thursday 19th December 2019 at 11.59pm (AEST)

 

Please note: If you have a disability that requires adjustment to the recruitment process or an alternative application pathway please contact recruitment@uts.edu.aufor assistance.

 

We welcome applications from women, Indigenous Australians, people with disability, those who identify as LGBTIQ and applicants from culturally and linguistically diverse backgrounds.

To apply for this job please visit bit.ly.