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To find out more, go to https://about.unimelb.edu.au/careers/staff-benefits 

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 Job no: 0054173

Location: Parkville

Role type: Full-time; Continuing

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 p.a. plus 17% super

About the School of Computing and Information Systems (CIS)

We are international research leaders focusing on delivering impact and making a real difference in three key areas: data and knowledge, platforms and systems, and people and organisations.

At the School of Computing and Information Systems, you'll find curious people, big problems, and plenty of chances to make a real difference in the world.

To find out more about CIS, visit: http://www.cis.unimelb.edu.au/ 

About - The Faculty of Engineering and Information Technology (FEIT)

The Faculty of Engineering and Information Technology (FEIT) has been the leading Australian engineering and IT education and research provider for over 150 years. We are a multidisciplinary School organised into three key areas; Computing and Information Systems (CIS), Chemical and Biomedical Engineering (CBE) and Electrical, Mechanical and Infrastructure Engineering (EMI). FEIT continues to attract top staff and students with a global reputation and has a commitment to knowledge for the betterment of society.

https://eng.unimelb.edu.au/about/join-feit 

About the Role

The Faculty of Engineering and Information Technology (FEIT) is seeking an aspiring academic leader with expertise in algorithms and their fairness in machine learning and/or AI (artificial intelligence) planning, or related fields, for a substantive position within the School of Computing and Information Systems (CIS).

You will join a world-class computer science research group, which has strong links to the Centre for AI & Digital Ethics (CAIDE) and will be expected to collaborate with both, alongside other internationally respected groups across artificial intelligence, human-computer interaction, information systems.

You are highly ambitious and eager to demonstrate world-leading research through publications in key conferences (typified by, but not limited to, FAccT, The Web Conference, KDD, NeurIPS, ICAPS, AAAI, IJACI, ITCS, EC, CHI, CSCW) and in high-quality journals (typified by, 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 broader academic community through mentorship, contributions to teaching in various Masters programs related to algorithms, theory, digital ethics and related areas and provide critical leadership in engagement activities, including securing grant funding to support your program of research.

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.

Responsibilities include:

• Providing a significant degree of scholarly research initiative and collaboration in the discipline of machine learning, exercising leadership over projects, securing funding and publishing in top-tier conferences and journals.

• Fostering an excellent teaching experience for our students, including coordinating and conducting lectures and tutorials at undergraduate and postgraduate levels and engagement in continuous teaching innovation and improvement.

• Supervising undergraduate, graduate or postgraduate students engaged in coursework or smaller research projects

• Leading and optimising partnerships with industry, government, collaborators at other Universities and other stakeholders consistent with the School’s strategic plan.

About You

You are an aspiring leader with the ability to build a highly respected reputation in Machine Learning and/or AI Planning, as demonstrated through a significant track record of publications in high-impact peer-reviewed and refereed venues and invitations to speak at national and international meetings. You are experienced in mentoring students, colleagues and research teams and demonstrate great initiative in the establishment and nurturing of research projects. Your highly-developed communication and relationship-building skills enable you to engage with a diverse range of people and institutions to develop partnerships that positively contribute 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 demonstrated ability to manage collaborative projects and research activities, involving the management of personnel, timelines and budgets, and relationships with various stakeholders.

• Experience in curriculum development and implementation at undergraduate and postgraduate level that will maintain the School’s programmes at the highest international standards.

• Capacity to teach effectively and develop educational programs and methods across a range of subjects, in particular in the field of algorithmic fairness in machine learning and/or AI planning.

• Capacity to develop an international funding profile.

For full details of responsibilities and selection criteria, including criteria for a Level D appointment, please refer to the attached position description.

To ensure the University continues to provide a safe environment for everyone, this position requires the incumbent to hold a current and valid Working with Children Check.

Please tap the APPLY NOW button and upload the following documents (PDF files)

• A Cover Letter addressing your suitability for the position
• Your current CV/Resume
• VISA requirement: In your Cover Letter or CV, please note your VISA status and eligibility to work in this country (Australia)