Postdoctoral Research Associate/Fellow, Transfer Learning

JOB SUMMARY

Job Title 
Postdoctoral Research Associate/Fellow, AAII 

Faculty/Unit
Faculty of Engineering & IT/Australian Artificial Intelligence Institute   

Job code: IRC220462

Position Description 
See UTS Jobs

Closing Date:
Tuesday 28th June 2022 at 11.59pm (AEST)

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. We are 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 Australian Artificial Intelligence Institute is committed to UTS’s target and supporting the career development of women academics. UTS  Women in Engineering & IT program fosters a network of passionate females and males who are actively involved in the development of our next generation of young engineering and IT professionals.

The Australian Artificial Intelligence Institute is committed to UTS’s target and supporting the career development of women academics. UTS Women in Engineering & IT program fosters a network of passionate females and males who are actively involved in the development of our next generation of young engineering and IT professionals.

Detailed Description

The Australian Artificial Intelligence Institute is recruiting a Postdoctoral Research Associate or a Postdoctoral Research Fellow to perform the continuing development of technology advances for Transfer Learning theory and applications in recommender systems and data analytics, under an ARC Linkage project. The position will be based at the centrally located UTS Campus in Ultimo and will report directly to Associate Professor Guangquan Zhang.

The Australian Artificial Intelligence Institute is a world-leading research institute in artificial intelligence, with a vision to develop theoretical foundations and advanced algorithms for AI, and to drive significant progress in related areas like computational intelligence, business intelligence, computer vision, data science, machine learning, brain computer interface, bioinspired neural networks and information systems.

About the role

• Take responsibility for delivering research in Transfer Learning methods and application in Recommender Systems. 

• Engaging with ARC LP industry partner.

• Deliver high quality results for ARC projects.

• Co-supervise PhD students in the area of transfer learning and/or recommender systems.

About you

• A PhD Degree in Computer Science or a closely related field.
• Demonstrated track record in the area of Transfer Learning Theory, Algorithms and Applications through high quality research publications.
• Demonstrated track record in the topics of Recommender Systems algorithms particularly cross-domain recommender systems through high quality publications.
• Comprehensive knowledge and experience on the applications of transfer learning and recommender system algorithms as well as other machine learning methods.       

Remuneration/Salary

Base Salary Range: $94,151 to $101,063 pa (Level A.3-4)  |  $110,378  to $130,639  pa (Level B)
The role attract 17% superannuation (pension) in addition to the base salary.

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

This position is full-time and the appointment will be made on a fixed term basis for 36 months.

Our vision is to be a leading public university of technology recognised for our global impact. We are a dynamic and innovative university, ranked by the Times Higher Education as Australia’s top young university, and located centrally in one of the world’s most liveable cities. With a culturally diverse campus life and extensive international exchange and research programs, UTS prepares graduates for the workplaces of today and tomorrow. 

How to Apply

For the full list of the selection criteria and role responsibilities please click the apply link and download the Position Statement from the UTS Jobs website.

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.

Please note: Our site is optimised for Internet Explorer 11, Firefox 45 and Safari 9.1. Earlier versions of any of the browsers mentioned are supported, but likely to demonstrate slower response times. Other browsers may offer unexpected results.

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 IRC220462.

Specific enquiries or issues with your application may be directed to Pam Price in the UTS Recruitment Team at recruitment@uts.edu.au.

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:  Tuesday 28th June 2022 at 11.59pm (AEST)

We are accepting applications from both Australian and international candidates. We are willing to arrange visa sponsorship for those who don’t currently hold Australian work rights.

Accessibility

UTS Recruitment cares about digital accessibility. If there is any content in our advertising that you have struggled with, please make us aware so that we can make our information accessible to all. In addition, if you have a disability that requires adjustment to the recruitment process or an alternative application pathway please contact recruitment@uts.edu.au for assistance.

UTS is recognised widely as supporting inclusivity and diversity through our Wingara Indigenous Employment Strategy, Social Impact Framework, and UTS Access and Inclusion Plan. We welcome applications from women, Indigenous Australians, people with disability, those who identify as LGBTIQ, and applicants from culturally and linguistically diverse backgrounds.