Research Fellow, Machine Learning - Melbourne, Australia - RMIT University

RMIT University
RMIT University
Verified Company
Melbourne, Australia

1 week ago

Olivia Brown

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Olivia Brown

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Description

Overview:

  • Fulltime, Fixed Term position for 3 years
  • Salary Academic Level B + 17% Superannuation and Flexible Working Arrangements
  • Based at the Melbourne CBD campus, and hybrid ways of working
About You


The Postdoctoral Research Fellow will contribute to a number of projects within the ARC Centre of Excellence for Automated Decision-Making and Society, with a particular focus on measuring, modelling, and evaluating the fairness, bias, and trustworthiness of algorithms and data, particularly from Machine Learning (ML) and Deep Learning (DL) models.

The breadth of possible project topics is extensive, and the following is a non-exhaustive list that a successful applicant could be involved in:


  • Counterfactual reasoning and causal judgments
  • Biasaware Representation Learning
  • Deep Learning and Explainable AI
  • FairnessawareML models


The Fellow will be based in the School of Computing Technologies and the Centre for Information Discovery and Data Analytics at RMIT University and will collaborate actively with the ARC Centre of Excellence for Automated Decision-Making and Society's national and international network of participants.

All Centre postdoctoral research fellows will also have access to the Centre's research training and professional development opportunities, international visiting fellowships and exchanges (travel arrangements permitting), and the Centre's network of industry partners.

To be successful in this position, you'll have as a minimum:

  • Completion of a PhD in Computer Science or a relevant discipline area within the past 5 years at the time of appointment, not including periods of career interruption due to carer's responsibilities, parental leave, illness, or disability.
  • Strong experience in at least one of the following areas:machine learning and deep learning timeseries and spatiotemporal data mining
  • Demonstrated experience in developing and/or using stateoftheart methods, software and tools in a relevant research context.
  • Solid experience in conducting experiments as required in the relevant expertise and subfield, for example: Solid experience in the design and conduct of user studies for evaluation of information access systems Solid experience in maintaining and contributing to public codebase or repository Solid experience in performing machine learning experiments using multiple largescale datasets and public benchmarks Solid experience in establishing machine learning and/or deep learning pipeline
  • Scholarly writing skills and experience in preparing publications for a variety of audiences, including relevant publications in high quality Q1 peer reviewed journals and track records in A* conferences as ranked by CORE in AI, machine learning, and data mining, such as ICML, NeurIPS, ICLR, AAAI, KDD, WWW, WSDM, SIGIR, and other relevant A* conferences.
  • Strong interest in the technical and societal problems related to the Fairness, Accountability, Transparency and Ethics (FATE) in AI, particularly in problems related to explainability and fairness. An evidence of publication on FATErelated topic is preferable, but not required.
  • Ability to work independently to generate distinctive contributions to scholarly knowledge and/or create real world outcomes.
  • Demonstrated ability to work effectively and collaboratively as part of a highachieving and collegial research culture.
  • Welldeveloped oral and interpersonal skills with demonstrated ability to communicate effectively with a wide range of stakeholders and research collaborators, including presentations at seminars, conferences and industry events.
  • Optional/preferable: Emerging track record and recognition for high quality research engagement, including development of new research initiatives, competitive research funding, and industry links.
About the College

The STEM College holds a leading position and expertise in the science, technology, engineering, mathematics and health (STEM) fields. We are uniquely positioned to influence and partner with industry, as never before.
STEM College is a community of exceptional STEM researchers, teachers, inventors, designers and game-changers, supported by talented professional staff.

We offer higher education programs across all STEM disciplines at the Bachelor, Master and PhD levels, and ensure our students experience an education that is work-aligned and life-changing.

The College is renowned for its exemplary research in many STEM areas including advanced manufacturing and design; computing technologies; health innovation and translational medicine; nano materials and devices; and sustainable systems.

Our brilliant researchers attract funding from governmentand industry sources.
Industry is at the heart of what we do. It ensures our research has real world impact, and our students are truly work-ready. Under the leadership of DVC STEM College & Vice President, Digital Innovation, we have established new hubs of industry-connected digital inno
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