Research Fellow in Machine Learning
RMIT University
Australia

Research Fellow in Machine Learning, ARC Centre of Excellence in Automated Decision-Making and Society

Job no: 593413
Work type: Full time - Fixed term/Contract
Categories: Research, Science, Technology, Teaching and Research

Full-time, 3 year, fixed-term contract; based at RMIT City campus but may be required to work and/or based at other campuses of the University
Join a multidisciplinary research team and be involved in this ARC Centre of Excellence on Automated Decision Making and Society project focusing on measuring, modelling, and evaluating the fairness, bias, and trustworthiness of algorithms and data including in Artificial Intelligence (AI) and machine learning (ML)
Access to state-of-art facilities and equipment of the ARC Centre for Information Discovery and Data Analytics at RMIT University
Reports directly to the Professor Mark Sanderson, ECP Director, Info & Systems (Engineering, Enabling Capability Platforms)
Remuneration at Academic Level B ($98,569 - $116,965) + 17% superannuation

About us

RMIT is a multi-sector university of technology, design, and enterprise with more than 91,000 students and 11,000 staff globally. RMIT offers postgraduate, undergraduate, vocational education and online programs to provide students with a variety of work-relevant pathways.

Our purpose is to offer life-changing experiences for our students, and to help shape the world with research, innovation, teaching and industry engagement. With strong industry connections forged over 130 years, collaboration with industry remains integral to RMIT’s leadership in education, applied and innovative research, and to the development of highly skilled, globally focused graduates.

Culture

Our Values inspire us, wherever we are in the world, and guide how we live and work together.

Imagination. Agility. Courage. Passion. Impact. Inclusion.

What unites us is our purpose and our values; they are at the heart of who we are, what we stand for, how we make decisions and connect with each other.

Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. RMIT exists to create transformative experiences for our students, getting them ready for life and work. You will be a part of a productive and collaborative team, who values working relationships and outcomes through open and inclusive planning, continuous information sharing and transparent work practices.

About the College/ School

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.

Further information on STEM College in this link.

School of Computing Technologies

There are three discipline clusters in the Computing Technologies School –

•             Artificial Intelligence

•             Cloud, Systems & Security

•             Data Science

The School's PhD students and faculty conduct world class research in Artificial Intelligence (AI), Search and Recommendation, Machine Learning, Data Analytics, Distributed Computing and Cybersecurity. Our goal is consolidating our digital innovation capabilities and expertise into one School positions us to respond to strategic industry and economic opportunities aligned to digital technology and transformations. The School will fast-track digital innovation across all College programs and elevate our external position as a leader in technology and digital innovation. The School's leadership is tasked with the significant responsibility of building the architecture and capability to position RMIT with a supercomputer capacity and a world class digital leading lab which will support interdisciplinary activities as they transition into augmented reality.

Details relating to the School of Computing Technologies in this link.

About ARC Centre of Excellence for Automated Decision-Making and Society

The ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S) is a new, cross-disciplinary, $32 million national research centre, which aims to create the knowledge and strategies necessary for responsible, ethical, and inclusive automated decision-making. Funded by the Australian Research Council from 2020 to 2026, ADM+S is hosted at RMIT in Melbourne, with nodes in seven other Australian universities. The Centre brings together leading researchers in the humanities, social and technological sciences in an international industry, research, and civil society network. Its priority domains for public engagement are news and media, transport, social services, and health.

About You & the Role

• Perform competitive research and development activities relevant to the Centre with multidisciplinary researchers leading to high quality refereed journals, reports and/or books;
• Contribute and generate new and high-quality research outcomes that are advantageous to the scientific advancement for this project through presenting ideas and research findings at seminars, conferences, and industry meetings, as well as engagement with external stakeholders;
• Actively participate in various research initiatives and strategies relevant to the ARC Centre’s research culture, which includes participation in research collaboration and community-building within the Centre’s research programs and focus areas;
• Prepare & produce competitive research grant proposals, applications and generating funding through strong linkage and effective liaison with industry and government;
• Plan and manage managing research projects timelines ensuring research conducted conform to the University and ARC requirements with respect to research ethics, integrity and data management as well as conducting research in accordance to healthy and safety policies & work practices.

You will have:

• Solid theoretical and sound working knowledge in at least one of the following areas:
- Machine learning and deep learning;
- Time-series and spatio-temporal data mining.
• Proven research experience in:
- Performing machine learning experiments and establishing ML/DL pipeline using multiple large-scale datasets and public benchmarks;
- Maintaining and contributing to public codebase or repository;
- Generating new contributions for the Machine Learning community.
• Evidence of excellent track record in research and scientific investigations including publications in high quality Q1 peer reviewed journals and conference contributions as ranked by CORE in AI, machine learning, and data mining, such as ICML, NeurIPS, ICLR, AAAI, KDD, WWW, WSDM, and other related top 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;
• Highly developed problem-solving and analytical skills with the ability to communicate and present research findings, concepts, and knowledge in dealing with ambiguity;
• Ability to manage and plan your time effectively and efficiently to conduct innovative research independently and collaboratively, work effectively to meet project outcomes and milestones as well as maintaining a high-achieving research culture;
• Good interpersonal and strong communication skills (both verbal and written) appropriate for interacting with research students, staff, and external stakeholders, together with a strong commitment to teamwork and multidisciplinary collaboration.

Qualifications

Mandatory: PhD qualified in the field Computer Science and Information Technology 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.

Note: Appointment to this position is subject to passing a Working with Children check.

Bring your whole self to work

We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences, and build a sense of belonging in our team and beyond.

We are proud that our dedication to diversity has been recognized by a broad spectrum of external organizations. Visit our Linkedin Life pages to learn more and see some of our most recent wins. 

To Apply

Please submit your resume and cover letter outlining your experience and achievements by clicking on the ‘Apply now’ link. Please note that a separate response to Key Selection Criteria as stated on the Position Description is required.  For any enquiries regarding this role, please contact Professor Mark Sanderson, Dean, School of Computing Technologies (mark.sanderson@rmit.edu.au)

Download File PD - 593413 - Research Fellow in Machine Learning.pdf

RMIT is a Disability Confident Recruitment Team and we are happy to adjust the recruitment process for your accessibility requirements. Please contact us at TalentSupport@rmit.edu.au telling us your preferred type of communication and we will be in touch as soon as possible to discuss your requirements.

Applications close Sunday 28th February 2021

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

Please note that whilst we still accept applications from any persons interested in our roles, due to the impacts of COVID-19, we are currently prioritising applications from those with current working rights in Australia and who are not affected by travel restrictions. Please see the latest updates to Australia’s immigration and border arrangements during the COVID-19 (Coronavirus) outbreak: https://covid19.homeaffairs.gov.au/

Application close: 28 Feb 2021 11:55 PM AUS Eastern Daylight Time


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