Research Associate, Transfer Learning & Recommender Systems

JOB SUMMARY

Job Title 
Research Associate, Transfer Learning & Recommender Systems

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

Job code: IRC220461

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 recruiting a Research Associate to perform and assist the development of technology advances for gene data analytics by using transfer learning and recommender systems, under an ARC Linkage project. The position will be based at the centrally located UTS Campus in Ultimo and will report directly to Australian Laureate Professor Jie Lu  and and Dr Hua Lin, Partner Investigator of the ARC Linkage project.

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

• Design databases to compile extensive quantities of information such as whole genome sequencing (WGS) reading, gene expression profiling and protein expression
• Creating the data models to identify and classify components of a biological system, such as WGS and protein sequences
• Processing and analysing genomic information by using analytical and computational tools, to meet specific scientific project needs
• Deliver high quality results for research projects as a contributor.

About you

• Tertiary degree in data science, bioengineering, bioinformatics and information science.
• Demonstrated track record in: data analytics in healthcare, bioengineering, computer science, information systems and computational biology
• Proficiency with computational programming, e.g. Python, R, Matlab, SQL, C++ or Java
• Ability to design databases and develop algorithms for applying machine learning algorithms in processing and analysing genomic information.
• Ability to analyse large molecular datasets such as raw microarray data, genomic sequence data and proteomics data for clinical or basic research purposes

Remuneration/Salary                    

Base Salary Range: $82,979 to $101,063 pa (Level A)
The 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 position is full-time and 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 IRC220461.

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.