Research Data Specialist

University of Technology Sydney
Sydney, Australia
$104,390 to $118,889
Apr 29, 2021
May 24, 2021
Organization Type
University and College
Full Time
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. At UTS the concepts of equity and social justice are key to our core and purpose. We proactively support inclusivity and value diversity through our Wingara Indigenous Employment Strategy, Social Impact Framework and the 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. We encourage applicants where relevant to include a relative to opportunity or career disruption/break statement within their CV.

The Faculty of Engineering and IT (FEIT) is recruiting for an Australian Research Data Commons (ARDC) Research Data Specialist (Machine Learning and Artificial Intelligence) to join the team on a full-time, fixed term basis till 30 June 2023. This is tied to the current funding period for the ARDC, which is a project in the National Collaborative Research Infrastructure Strategy. As a national organisation ARDC has staff members based at research organisations around Australia and in NSW staff members are hosted by UTS.

Detailed Description

The Faculty of Engineering & Information Technology delivers rigorous, practical & industry-focused education and research that encourages disruptive technologies and cultivates exceptional engineering & IT professionals. The culture of the Faculty is one that balances compliance with policy and procedure with a positive outlook of excellence, connectivity and responsiveness.

The Australian Research Data Commons (ARDC) is a transformational initiative that is enabling the Australian research community and industry access to nationally significant, leading edge data intensive eInfrastructure, platforms, skills and collections of high-quality data. The Research Data Specialist (Machine Learning and Artificial Intelligence) will support, liaise with, and engage with diverse groups of stakeholders in research-focussed environments and must communicate effectively with key stakeholders in cross-disciplinary settings and across a broad range of research areas. The role will be responsible for providing and delivering specialist expert advice to projects, activities and communities across the ARDC programs in the areas of research data, platforms, infrastructure and skills.

About the role:
  • Liaising with identified partners, particularly in NSW, to provide relevant and timely delivery of ARDC expertise, resources, and/or services by proactively identifying current and future challenges
  • Taking the lead in setting direction and coordinating engagement for specific areas of expertise and target audiences of interest to ARDC with members of the team and more broadly across ARDC
  • Supporting co-investment partnerships by providing advice, relevant services, and cross-pollination of experiences and expertise from related projects, initiatives and communities
  • Working as an autonomous member or leader of a usually regionally dispersed team, working on a specific topic and taking responsibility for team outcomes
  • Leading or assisting with the development and training of staff outside the immediate work group in areas related to a specific technical expertise, as required, choosing appropriate management strategies and communication styles

With examples, please outline in a separate document how you meet the following four (4) key selection criteria points below:

1. Knowledge of and experience with technologies and solutions that support data analysis, storage and publication, for example cloud computing solutions and research platforms and tools with a particular focus on thought leadership, support, and promotion of Artificial Intelligence and Machine Learning,

2. Significant relevant experience working in a research environment and a thorough understanding of the research process

3. Experience with successfully engaging with a diverse group of stakeholders within and across institutions, research facilities and/or research groups, ideally on a national and international basis

4. Excellent communication skills, including the ability to prepare documentation for various audiences, present, and to liaise, advise and negotiate at various levels