Be part of our research community that’s changing lives

Our vision to become a world-leading university for our regions will take passion, excellence and perseverance.

We are looking for people to join our university – to bring their global expertise to our region, and to take their impactful research to the world with us.

We are driven by our inclusive focus and are proud of our five-star rating for social equity. We are among the first 15 universities in Australia to receive the Bronze Award under the Athena Swan Charter and we’re striving to achieve Silver. 

Be part of something bigger

The School of Information and Physical Sciences accommodates the disciplines of Mathematics, Data Science and Statistics, Computing and Information Technology, and Physics. The vision of the school is aligned with the University's strategic plan and aims to provide a transformative, modern and relevant learning experience where students acquire practical skills, leading to work and life-ready graduates. The School values excellence and collaboration across the whole university in teaching & learning, research and engagement. 

Data Science is one of the fastest growing and most in-demand disciplines and we are seeking to appoint a lecturer to contribute to the School’s teaching and research efforts and to grow its programs. The discipline is highly research active, contributing substantially to the overall research inputs and outputs of the School and College. This is reflected in the 2018 Excellence in Research in Australia outcomes where several areas of activity, including Statistics, at the School were ranked 5 – well above world standard. You will work in a dynamic and engaging working environment to enable the School to excel in both higher education teaching and research. You will create partnerships between the University and external research stakeholders to attract competitive external grant funding and to deliver high-impact research outcomes. You will work cohesively across the university to strengthen current and future research priorities of the school. 

The Lecturer in Data Science (with focus on Statistics or Computer Science) will work across all areas of academic activity: education, research and engagement. The successful candidate will be part of an innovative team, where they will utilise their demonstrated skills in blended learning and build and foster skills in research in the Data Science area. You will develop high-quality student-centred undergraduate and postgraduate teaching and deliver high-impact research. You will make a positive contribution to a culture of innovation and experience for students and to engage and work with industry on challenging research problems.

Commitment to gender equity

As part of the University’s commitment to providing a more diverse and inclusive higher education environment and increasing the number of women in underrepresented areas including the field of Data Science, this role is targeted towards female candidates. Please note that both male and female candidates can apply, however priority will be given to female candidates who can demonstrate they successfully meet the essential criteria. The University currently holds an exemption under Section 126 of the Anti-Discrimination Act 1977 (NSW) in relation to its targeted recruiting programs, this role is targeted towards female candidates.

The University is committed to supporting and promoting women and their research in the disciplines of Science, Technology, Engineering and Mathematics. Successful female applicants will be supported by a range of initiatives under the University’s Athena SWAN Award accreditation, designed to remove or reduce structural, systemic and/or cultural barriers to attraction, retention and progression within the profession of Data Science, and more broadly, shaping the future for the University as a leader in gender equity. There is a large cohort of women in leadership roles and male champions of change at the University who are dedicated to shaping the future for Women in STEM, which includes helping female academics to advance their careers through additional mentoring, fellowships and programs that address inequity. This position represents an opportunity to join with the University in promoting Women in STEM and changing the lived experience of staff and students in Data Science.

This full-time ongoing position will be located at the Callaghan Campus. The University supports flexible work arrangements which may negotiated to meet a candidate’s personal circumstances.

How will you become part of our research community?  

With a passion for teaching and a talent for researching in Data Science, you have proven experience in working autonomously, goal-oriented and prioritising to provide adaptive teaching methods, such as online teaching and the demonstration of online tutorials. You will have capability and eagerness to engage and network with external stakeholders and to secure research funding and to assist industry in solving highly complex technical problems. You are able to demonstrate a strong research trajectory though successful publication in high-impact academic journals in the areas of Data and Computer Science.

How will we support you?

The remuneration is $103,221 to $122,576*, plus 17% superannuation. 

The University is committed to being a leader in family-friendly working environments. 

*Remuneration rate as of 30/09/2021.

For additional information on the position contact Professor Thomas Nann, Head of School on (02) 4055 3003 or email: Thomas.Nann@newcastle.edu.au

Closing date: Thursday, 25th November 2021

Let’s be part of something bigger together. Here’s how to join us:  

Your application must include: 

• Your ORCID iD

• A URL link to your University Academic Profile (or equivalent). 

• Your CV/Resume, which should be a maximum of five pages and be succinct and discipline appropriate. 

• A Cover Letter; outlining your interest in the role, including contact details for a minimum of three relevant referees. 

• Responses to the Essential and Desirable Criteria, as provided in the Position Description.

To access the Position Description please click here.

If you have any difficulties in uploading your application please email recruitment@newcastle.edu.au