Postdoctoral Research Fellow in Automated Machine Learning

Postdoctoral Research Fellow in Automated Machine Learning
Faculty of Engineering & IT / Advanced Analytics Institute (AAi)

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 Advanced Analytics Institute is committed to UTS's target and supporting the career development of women academics.

The UTS Advanced Analytics Institute is recruiting for a Postdoctoral Research Fellow in Automated Machine Learningto play a key role in building on research concerned with the automation of predictive systems building, deployment and maintenance. The position will be based in our 14-level smart building with world class facilities and astonishing light filled architecture. It is centrally located in the heart of Sydney. This position will report to Professor Bogdan Gabrys , Director of AAi.

About the centre

The Advanced Analytics Institute (AAi) is a world-leading research centre with a focus on big data, data sciences and data analytics. The Postdoctoral Research Fellow will conduct research in the area of complex learning/adaptive systems with a focus on multi-component, multi-level, multi-objective optimisation and mechanisms in the context of learning systems.

AAi research delivers real-world solutions to contemporary big data questions and assists industry partners to use data as a tool for effective business decisions. AAi researchers are internationally recognised for their expertise and projects across automated machine learning, data mining, advanced/predictive analytics, diagnostic analysis, decision support systems, time series analysis, network science, bioinformatics and multimedia analytics. Our extensive research networks coupled with our focus on practice-based innovation has lead AAi to be preferred partner for both industry and government.

About the role

The key responsibilities will include:

• Collaboration with industry partners on data science and advanced analytics projects;
• Working towards developing state-of-the-art methods for automated machine learning;
• Establishing and developing productive collaborative research activity across the institute, Faculty and wider UTS community and externally with other broader based research partners;
• Producing research publications and supporting applications for internal and external research grants with the aim of developing a funded program of research in automated machine learning;
• Supervising research students and contributing to their development as future researchers.

About you The main experience and skills required include:

• A strong research profile as evidenced by peer reviewed journal and conference publications.
• Proven ability to undertake empirical research.
• Demonstrated ability to forge links with the Data Science and Machine Learning profession and other key stakeholders.
• Demonstrated knowledge in any of the following areas: (Automated) Machine Learning, Computational Intelligence, Complex Adaptive Systems, Pervasively Adaptive Software Systems or Predictive Modeling.
• A doctorate in computer science, mathematics, physics, engineering, statistics or a similar discipline.
• Strong programming skills using any or combination of Java, C++, C#, Python, R, and/or Matlab.

Remuneration & Benefits

Base Salary Range: $103,981 to $123,067

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 position is full-time and appointment will be made on a fixed termbasis for 2 years.

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 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.

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.

Please ensure that the file name for each document submitted includes IRC148268.

Specific enquiries or issues with your application may be directed to 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:Wednesday 20th November 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.au for assistance.

At UTS, the concepts of equity and social justice are key to our core and purpose - we are r ecognised widely as supporting inclusivity and valuing diversity through our Wingara Indigenous Employment Strategy, Social Impact Framework and UTS Access and Inclusion Plan.

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.

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