ARC Grant-Funded Researcher A, School of Mathematical Sciences
(Level A) $88,286 to $94,588 per annum plus an employer contribution of up to 17% superannuation may apply
The University of Adelaide Enterprise Agreement 2017-2021 will apply to a successful candidate’s employment at the University. The University recently temporarily varied its Enterprise Agreement. Please be advised that the salary range, along with other conditions associated with this position, may change in accordance with the variation to the Enterprise Agreement
Fixed-term position available for up to 3 years
Flexible work arrangements can be negotiated with the right candidates.
The ARC grant-funded researcher (A) will work to support the project “Mathematical modelling of information flow in social networks” (DP210103700).
We are seeking to appoint an applied mathematician/data scientist for 3 years commencing in 2021. The successful applicant will work within the School of Mathematical Sciences on an exciting ARC funded project combining mathematical modelling of dynamics on networks, data science, information theory, and social media analysis.
The project will develop new mathematical and statistical methods to understand information flow in social networks. Using novel information theoretic techniques, it will develop new methods to characterise social information flow in social networks, derive fundamental limits of predictability for AI methods applied to digital data, and produce insights into social influence in online social networks such as Twitter. The project will lead to: a better understanding of how echo chambers may form in social networks; predictive models for how misinformation can spread online such as during an emergency (such as the 2019-20 bushfires or COVID-19 “infodemic”); and a framework for intercomparison of AI methods applied to digital data on individuals.
You will work in close collaboration with researchers at the University of Vermont (USA), and have the opportunity to collaborate with researchers in the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS). The data science groups in the School of Mathematical Sciences at The University of Adelaide provides a supportive research environment with diverse interests across stochastic modelling, operations research, and statistics.
To be successful you will need:
- A PhD and publication track record in data science, social network analysis, applied mathematics, statistics, or related discipline.
- Advanced computational skills, including demonstrated ability to wrangle large text-based datasets and perform numerical simulations.
- Ability to analyse social media data and/or social network data, and simulate dynamics on complex networks.
- Knowledge of information theory as applied to text data.
- Commitment to the principles of equity, diversity and inclusion.
Enjoy an outstanding career environment
The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.
It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.
Our core values are integrity, respect, collegiality, excellence and discovery. Our culture is one that welcomes all and embraces diversity. We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.
Learn more at: https://www.adelaide.edu.au/hr/ua/media/5268/staff-values-and-behaviour-framework_0.pdf
The Faculty of ECMS aims to increase the diversity of its staff population and applications from women are particularly encouraged. To support our staff and students in their academic lives, the faculty celebrates diversity and has a range of programs available including:
- A variety of flexible working arrangements
- Support to staff with caring responsibilities to participate in conferences, workshops, field trips and other approved work-related travel
- Research support schemes designed to support female academics to enhance and promote their career
- Childcare facilities
- Women’s professional development network opportunities
In addition, we offer salary packaging; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.
Learn more at: adelaide.edu.au/jobs
Your faculty's broader role
The Faculty of Engineering, Computer and Mathematical Sciences is a thriving centre of learning, teaching and research in a vast range of engineering disciplines, computer science - including machine learning - and high-level mathematics. Many of its academic staff are world leaders in their fields, and graduates are highly regarded by employers.
We proudly support gender and cultural diversity and are passionate about creating a more vibrant and enriching community of staff and students.
Learn more at: ecms.adelaide.edu.au
If you want to change tomorrow, act today
Click on the link below for a copy of the selection criteria and to apply:
Please ensure you address and upload your responses to all selection criteria outlined in the selection criteria statement.
Application closes 11:55 pm, posting date 28 March 2021.
For further information
For a confidential discussion regarding this position, contact:
A/Prof in Applied Mathematics, School of Mathematical Sciences
P: +61 (8) 8313 5424
The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.