Professor/Associate Professor in Machine Learning

Ref: 6439

Monash University

Melbourne, Australia

Role Managed by:

Teagan Williams-Chen

Research Associate

t: +61 2 8051 3008


Primary Practice Group: Higher Education and Research

Salary & Benefits: commensurate with experience

Closing Date: 19/03/2023

This vacancy has now expired, and is not accepting any new applications.

Please search for live opportunities or use the Register Interest facility to sign up for job alerts and/or leave your CV speculatively.

Job No.: 645311

Location: Clayton campus

Employment Type: Full-time 

Duration: Continuing appointment

Remuneration: $158,284 - $174,373 pa Level D / $203,891 pa Level E (plus 17% employer superannuation)

  • Be inspired, every day
  • Enjoy the freedom to discover something new
  • Take your career in exciting, rewarding directions 

Monash is full of thinkers and doers who are looking for their next challenge. So, if you’ve forged a rewarding career so far, this role provides the perfect platform to join us. You’ll have access to quality research facilities, infrastructure and teaching spaces to do exciting work, along with opportunities to collaborate internationally. You’ll be part of a university that’s made up of inspirational, challenging thinkers and doers – and continue doing work that makes a lasting impact.

The Faculty of Information Technology at Monash University has started the search for an Associate Professor or Professor of Information Systems. Monash University is one of the best global universities (ranked 44th, THE 2023, and 57th, QS 2023). It is also one of the world’s most global universities, with campuses across four continents, as well as the biggest in Australia, with 85,000 students from more than 160 countries.

The Faculty of Information Technology is the only faculty within Australia’s prestigious Group of Eight universities dedicated to information technology and is one of the largest faculties of its kind anywhere in the world, boasting around 3,500 students. Because of its disciplinary focus and the areas in which its works the Faculty is by nature deeply collaborative, facilitating interdisciplinary ties that span the broader research community both within Monash and outside it. It complements this with an approach to teaching and learning that elevates practical experience, giving graduates the knowledge and skills to flourish in their careers.

The Opportunity 

The Professor/Associate Professor in Machine Learning is expected to exercise a special responsibility in providing leadership and in fostering excellence in research, teaching, professional activities and policy development in the academic discipline within the department or other comparable organisational units.

The Professor/Associate Professor will lead the Machine Learning (ML) discipline group or the department on various education, research and staff matters as well as the development and implementation of high-quality research in machine learning that will lead to publications in top refereed journals and conferences and attract competitive external and government funding. The Professor/Associate Professor in Machine Learning will also play a significant role in research projects including, where appropriate, the leadership of a research team.

The successful applicant must have a doctoral qualification and recognised significant experience and leadership in the relevant discipline area. With highly developed skills in leadership in research, education and/or service in the machine learning area, the successful applicant must also have a strong visibility and recognition in top machine learning venues such as serving as area chair or keynote talks in NeurIPS, ICML, ICLR, and SigKDD or editor in top ML journals.

If this sounds like a position that suits your current career focus, we look forward to hearing from you.

The Benefits

A competitive remuneration package, including access to PhD scholarships, relocation travel, removal allowance, and visa support is available. Monash offers a range of professional development programs, support for research, study and overseas work, generous maternity leave and flexible work arrangements.

This role is a full-time position; however, flexible working arrangements may be negotiated.

At Monash University, we are committed to being a Child Safe organisation. This position at the University will require the incumbent to hold a valid Working with Children Check.

Your application must address the selection criteria. Please refer to “How to apply for Monash jobs” 


Monash University will be supported in a global search for this appointment by the executive search firm Perrett Laver. For further information or a confidential conversation about this opportunity, please contact Teagan Williams-Chen on +61 2 8051 3008 or via email

Position Description

Please use the "Download Further Details" option below to access Position Descriptions for both the Associate Professor in Machine Learning - Level D role and the Professor in Machine Learning - Level E role.

Closing Date

Sunday 19 March 2023, 11:55pm AEDT

Supporting a diverse workforce
Monash University recognises that its Australian campuses are located on the unceded lands of the people of the Kulin nations, and pays its respects to their elders, past and present.


To submit your application please use the "Apply Now" option below.

This vacancy has now expired, and is not accepting any new applications.

Please search for live opportunities or use the Register Interest facility to sign up for job alerts and/or leave your CV speculatively.