Senior Lecturer / Associate Professor in Fairness in Machine Learning and AI Planning job with UNIVERSITY OF MELBOURNE | 307051 – Times Higher…

Location:ParkvilleRole type:Full time;ContinuingFaculty:Faculty of Engineering and Information TechnologyDepartment/School:School of Computing and Information SystemsSalary:Level C $135,032 $155,698 orLevel D$162,590 $179,123p.a. plus 17% super

The University of Melbourne would like to acknowledge and pay respect to the Traditional Owners of the lands upon which our campuses are situated, the Wurundjeri and Boon Wurrung Peoples, the Yorta Yorta Nation, the Dja Dja Wurrung People. We acknowledge that the land on which we meet and learn was the place of age-old ceremonies, of celebration, initiation and renewal, and that the local Aboriginal Peoples have had and continue to have a unique role in the life of these lands.

About the School of Computing and Information Systems (CIS)

We are international research leaders with a focus 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 create a real difference in the world.

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

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 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 into 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:

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 both 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:

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.

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

The Faculty of Engineering and Information Technology (FEIT) has been the leading Australian provider of engineering and IT education and research 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 University

The University of Melbourne is consistently ranked amongst the leading universities in the world. We are proud of our people, our commitment to research and teaching excellence, and our global engagement.

Benefits of Working with Us

In addition to having the opportunity to grow and be challenged, and to be part of a vibrant campus life, our people enjoy a range of rewarding benefits:

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

Be Yourself

We value the unique backgrounds, experiences and contributions that each person brings to our community and encourage and celebrate diversity. First Nations people, those identifying as LGBTQIA+, females, people of all ages, with disabilities and culturally and linguistically diverse people are encouraged to apply. Our aim is to create a workforce that reflects the community in which we live.

Join Us!

If you feel this role is right for you, please apply with your CV and cover letter outlining your interest and experience. Please note that you are not required to provide responses against the selection criteria in the Position Description.

We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require any reasonable adjustments with the recruitment process, please contact us athr-talent@unimelb.edu.au.

Position Description:0054173_PD_C D in Fairness.pdf

Applications close:Monday 26 September 2022 11:55 PMAUS Eastern Standard Time

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Senior Lecturer / Associate Professor in Fairness in Machine Learning and AI Planning job with UNIVERSITY OF MELBOURNE | 307051 - Times Higher...