Lecturer/Associate Professor of Equity in Machine Learning and AI Planning job with UNIVERSITY OF MELBOURNE
Role type: Full time; Continue
Faculty: Faculty of Engineering and Information Technology
Department/School: School of Computing and Information Systems
Salary: Level C – $135,032 – $155,698 or Level D – $162,590 – $179,123 pa plus 17% super
- Opportunity to demonstrate your leadership and make a valuable contribution to teaching and research in the discipline of machine learning
- Join a world-class computing research group and collaborate with internationally renowned groups in AI, HCI and IS
- Further develop your academic and leadership profile and be supported to achieve your goals across all pillars of an academic career
The University of Melbourne would like to acknowledge and honor the traditional owners of the lands on which our campuses are situated, the Wurundjeri and Boon Wurrung peoples, the Yorta Yorta nation, the Dja Dja Wurrung people. We recognize that the land on which we meet and learn was the site of centuries-old ceremonies, celebration, initiation and renewal, and that local Indigenous peoples have had and continue to have a unique role in the lives of these lands.
About the School of Computing and Information Systems (CIS)
We are global research leaders focused on making an impact and making a real difference in three key areas: data and knowledge, platforms and systems, and people and organizations.
At the School of Computing and Information Systems, you’ll find curious people, big problems, and plenty of opportunities to make a real difference in the world.
To learn more about the CIS, visit: http://www.cis.unimelb.edu.au/
About the role
The Faculty of Information Engineering and Technology (FEIT) is seeking an aspiring academic leader with expertise in algorithms and their fairness in planning machine learning and/or AI (intelligence artificial intelligence), or in related fields, for a substantive position within the School of Computing and Information Systems (SIC).
You will join a world-class computer science research group, which has close ties to the Center for AI & Digital Ethics (CAIDE) and you will be expected to collaborate with both alongside other internationally respected groups in the fields of intelligence artificial, human-computer interaction, information. systems.
You are highly ambitious and keen to demonstrate world-leading research through publications at key conferences (such as, but not limited to, FAccT, The Web Conference, KDD, NeurIPS, ICAPS, AAAI, IJACI, ITCS, EC , CHI, CSCW) and in high quality journals (including but not limited to ACM TKDD, AIJ, ACM Transactions on Economics and Computation, Proceedings of the National Academy of Sciences, Big Data and Society, AI and Society, AI and Ethics, TCS). You will make a valuable contribution to the school and the wider academic community through mentorship, teaching contributions in various master’s programs related to algorithms, theory, digital ethics and related fields and provide essential leadership in engagement activities, including securing grants to support your research agenda.
This is an exciting opportunity to further develop your academic and leadership profile and be supported to achieve your goals across all pillars of an academic career.
- Provide a significant degree of academic research initiative and collaboration in the discipline of machine learning, exercise leadership on projects, secure funding, and publish in leading conferences and journals.
- Fostering an excellent teaching experience for our students, including coordinating and conducting lectures and tutorials at the undergraduate and postgraduate level and engaging in continuous teaching innovation and improvement.
- Supervise undergraduate, graduate or postgraduate students engaged in coursework or smaller research projects
- Lead and optimize partnerships with industry, government, collaborators from other universities and other stakeholders in line with the School’s strategic plan.
You are an aspiring leader with the ability to build a highly respected reputation in machine learning and/or AI planning, as evidenced by a strong track record of publications in peer-reviewed and refereed high-impact venues , and invitations to speak at national conferences and international meetings. You have experience in mentoring students, colleagues and research teams and show great initiative in setting up and developing research projects. Your highly developed communication and relationship building skills enable you to engage with a wide range of people and institutions to develop partnerships that contribute positively to strategic initiatives.
You will also have:
- A PhD in computer science or another discipline relevant to algorithmic fairness in machine learning and/or AI planning.
- Evidence of leadership of a research team, with a demonstrated ability to manage collaborative projects and research activities, involving the management of personnel, timelines and budgets, and relationships with various stakeholders.
- Experience in developing and implementing curricula at the undergraduate and postgraduate level that will maintain the school’s programs to the highest international standards.
- Ability to effectively teach and develop curricula and teaching methods in a range of subjects, particularly in the area of algorithmic fairness in machine learning and/or AI planning.
- Ability to develop an international financing profile.
For full details of responsibilities and selection criteria, including the criteria for a D-level appointment, please see the attached job description.
To ensure that the University continues to provide a safe environment for all, this position requires the incumbent to hold an up-to-date and valid working with children verification.
About – The Faculty of Engineering and Information Technology (FEIT)
The Faculty of Engineering and Information Technology (FEIT) has been Australia’s leading provider of engineering and computer science education and research for over 150 years. We are a multidisciplinary school organized into three key areas; Computer and Information Systems (CIS), Chemical and Biomedical Engineering (CBE) and Electrical, Mechanical and Infrastructure Engineering (EMI). FEIT continues to attract the best staff and students with a global reputation and is committed to knowledge for the betterment of society.
About the University
The University of Melbourne is consistently ranked among the best universities in the world. We are proud of our staff, our commitment to excellence in research and teaching, and our global engagement.
Benefits of working with us
In addition to having the opportunity to grow and meet challenges, and to be part of a vibrant campus life, our employees enjoy a range of rewarding benefits:
- Flexible work arrangements, generous personal, parental and cultural leaves
- Competitive remuneration, 17% super, salary package and leave loading
- Free and subsidized health and wellness services, and access to fitness and cultural clubs
- Discounts on a wide range of products and services, including Myki and Qantas Club cards
- Career development opportunities and 25% off graduate courses for staff and their immediate families
To learn more, visit https://about.unimelb.edu.au/careers/staff-benefits.
We value the unique backgrounds, experiences and contributions each person brings to our community and encourage and celebrate diversity. First Nations people, those who identify as LGBTQIA+, women, people of all ages, people with disabilities, and culturally and linguistically diverse people are encouraged to apply. Our goal is to create a workforce that reflects the community in which we live.
If you think this role is right for you, please apply with your CV and a cover letter outlining your interests and experience. Please note that you are not required to provide answers against the selection criteria in the job description.
We are committed to ensuring barrier-free and inclusive practices to recruit the most talented candidates. If you require reasonable adjustments with the recruitment process, please contact us at [email protected]
Job Description : 0054173_PD_C D in Fairness.pdf
Closing of applications: Monday, September 26, 2022 11:55 p.m. AUS Eastern Standard Time