• 2 x Full-time, 3 -year fixed-term contract positions based at RMIT City campus but may be required to work and/or be based at another campus of the University and/or partner institutes (including overseas)
• Grow and further develop your teaching & research expertise and experiences in Machine Learning and/or Artificial Intelligence to deliver impactful and effective learning experiences to students via use of digital teaching technologies, in-line with School of Computing Technologies, STEM College and the University strategic goals
• Report directly to the Professor John Thangarajah, Associate Dean, Artificial Intelligence
• Remuneration at Academic Level A ($68,983 - $93,569) or Academic Level B ($98,495 - $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

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 You and the Role

You will be responsible for:

• Developing and delivering authentic & pragmatic learning and teaching opportunities for students at undergraduate, honours and postgraduate level including delivery of lectures, and programs through high-quality and engaging course materials; preparing, conducting and moderating assessment; implementing improvements informed by course evaluation activities and student feedback;  
• Conduct research/scholarly activities under limited supervision both independently and as a member of the team, including publishing research outcomes as lead or co-author in highly ranked journals, conferences and forums, submitting and actively identifying appropriate research grants & funding, involvement in collaborative projects and supervision of higher degree by research students, honours and WIL (Work Integrated Learning) projects as appropriate;
• Cultivate and ensure strong relationships through developing networks, maintaining memberships, links and partnerships with academic members, industry and professional communities; as well as participation in the on-going process improvement within this discipline and in the School of Computing Technologies;
• Commitment to perform varied academic administrative duties based on the level of appointment and to deliver full academic responsibility relating to the coordination of course delivery.

Qualifications

Mandatory: PhD or equivalent research doctorates in Computer Science in particularly in the areas of Machine Learning and/or Artificial Intelligence as well as teaching experience coupled with research record in relevant field.

Desirable:

• Demonstratable experience in preparing effective and efficient lectures, tutorials, online delivery of course material and/or blended learning for students undertaking undergraduate and graduate levels in Computer Science;
• Candidates who have in-depth knowledge and/or hands-on experience teaching in areas of Computer Scienceincluding first year programming (Java, Python) and software engineering courses  are encouraged to apply;
• Experience supervising higher degree by research candidates is desirable;
• An emerging track record and published research outputs in high impact journals & articles in Machine Learning, preferably applied to - Reinforcement learning, Deep Learning, Machine vision, Image Recognition, optimization or autonomous decision making and contributing to the development of new research initiatives, external research funding submissions and strong linkage to industry and government is highly regarded.

Preferred: Completion of the Essentials in Tertiary Teaching Practice program or equivalent (if the appointed candidate does not meet this requirement at time of appointment, they will be supported to complete this as a requirement to fulfil their probation).

In order to be eligible for this ECDF role you will have performed casual teaching work for an Australian University during the past three years and have not been employed on a continuing basis at an Australian University. If you have previously been employed on a fixed-term basis at an Australian University are eligible for this position, however, the requirements to also have performed casual teaching work as per above parameters.

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 a 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 John Thangarajah, Associate Dean (Artificial Intelligence) (john.thangarajah@rmit.edu.au)  

 PD - 593446 - ECDF Machine Learning or Artificial Intelligence.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/