Associate Professor/Professor (Identified position - Women)
Job No.: 656844
Location: Clayton campus
Employment Type: Full-time
Duration: Continuing appointment
Remuneration: $169,553 - $186,788 pa Level D / $218,408 pa Level E (plus 17% employer superannuation)
- Amplify your impact at a world top 50 University
- Join our inclusive, collaborative community
- Be surrounded by extraordinary ideas - and the people who discover them
The Opportunity
Monash Faculty of Information Technology is seeking an outstanding senior academic to join the Department of Data Science and AI, improving gender diversity in key technological fields, enhancing the representation of women in IT – and empowering them to pursue rewarding careers within our faculty and beyond.
About Monash Faculty of Information Technology
The only faculty dedicated to IT out of the prestigious Group of Eight (Go8), we’re widely renowned for excellence and innovation in research and education.
Geared for social good, we’re also strong advocates for equity, diversity and inclusion in every form and we actively champion women in IT – leading the way when it comes to the gender equity principles of the Athena SWAN Charter.
So when you work with us, you can be sure that you’re in an organisation that truly supports your success through continual development and growth opportunities and support for parents, carers, mental and physical health, wellbeing and more. These include family insurance, private parenting facilities, easily accessible and ongoing training and leadership programs in teaching and research – and dedicated groups like the STEMM Women Academic Network.
On the research front, our expertise is strategically aligned to three departments: Data Science and AI, Human-Centred Computing and Software Systems and Cybersecurity.
We’re home to one of the largest AI and data science research groups in the southern hemisphere, a global top 10 human-centred computing collective, and the leading software engineering team in the Asia-Pacific – on top of cybersecurity pioneers driving world-first cryptocurrencies and blockchains.
If stats are of interest, we are:
- Rank #1 in Computer Science in Australia by THE 2024 ranking
- Rank in top 40 worldwide specifically for Data Science and AI category by QS 2024
- In the world’s top 100 for Computing and Information Sciences (QS World University Rankings by Subject, 2021)
- Ranked ‘Above world standard’ across all categories in Information and Computing Sciences
- Rated ‘Well above world standard for Artificial Intelligence and Image Processing’ (State of Australian University Research 2018-19: ERA National Report)
- Rated five out of five for AI (2018 Excellence in Research for Australia)
- Contributing to Monash’s reputation as Australia’s most innovative university, a title held for three consecutive years (Reuters Top 75: Asia’s most innovative universities, 2017-2019)
The Faculty of Information Technology is led by empathetic and strong leaders, many of whom are women. We celebrate champions of equity, diversity, and inclusion to drive initiatives that help develop future leaders such as the Women Research Accelerator Program (WRAP) and women in technology mentoring program. The Faculty of IT deeply values women rising stars, students, and alumni and support Monash wide initiatives such as the STEMM women academic network and champion accessibility, and much more. We provide staff with carer travel support and returning from parental leave support, we support staff and students with an embedded counsellor at the Faculty and provide disability support services and mentoring to students.
With a reinvigorated strategic plan and evolving vision, we’re looking for enthusiastic, collaborative, like-minded people who are keen to be part of our drive for societal impact.
As the Associate Professor/Professor, you will be pivotal in shaping the future of AI education and research at our institution. You will lead cutting-edge research with a preference in the areas of reinforcement learning, autonomous agents and/or generative AI.
About Monash University
At Monash, work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen.
We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.
Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world class teaching spaces, and international collaboration opportunities.
Learn more about Monash.
Be part of our story. Work with us to #ChangeIt.
Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.
To Apply
The women only requirement is a lawful special measure under section 12 of the Equal Opportunity Act 2010 (Vic) and section 7D of the Sex Discrimination Act (Cth).
Your application must address the selection criteria. Please refer to 'How to apply for Monash Jobs'.
Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodiverse people, and people of all genders, sexualities, and age groups.
Should you require any specific support or adjustments throughout the recruitment process and beyond, please get in touch at hr-recruitment@monash.edu and we'll be happy to assist.
Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.
Associate Professor - Level D - To apply click here
Professor - Level E - To apply click here
Enquiries: Professor Dinh Phung, Head of Department (Data Science & AI), +61 3 9905 6955
Position Description:
Associate Professor - Level D: Associate Professor - Level D
Professor - Level E: Professor - Level E
Applications Close: Sunday 21 July 2024, 11:55pm AEST
Supporting a diverse workforce
