About the opportunity

We are one of the largest mathematical sciences schools in Australia, and the University of Sydney is the only Australian university to have received the highest rating of 5 out of 5 for research in the mathematical sciences in every Excellence in Research for Australia assessment to date. The University also hosts the Sydney Mathematical Research Institute, the Centre for Complex Systems, the Sydney Dynamics Group, and the Sydney Centre for Language Research, which provide opportunities for multidisciplinary collaborations with leading experts in a variety of different fields.

The University of Sydney is welcoming applications for a Postdoctoral Research Associate in Data Science of Complex Systems. The successful applicant will be working under the supervision of Professor Eduardo G. Altmann in the in the intersection between the areas of Complex Systems and Data Science. The goal is to use mathematical models of complex systems and large datasets to develop new computational methods and to obtain new insights on problems of scientific and societal relevance. Areas of interest include complex networks, dynamical systems, time-series analysis, statistical inference using Monte Carlo methods, social-media data and models, mathematical epidemiology, science of science, and mathematical methods in computational social sciences.

Your key responsibilities will be to:

• undertake research in Complex Systems and Data Science • publication of research papers • demonstrate research excellence • assist with grant writing and publishing original work • support teaching activities and the supervision of undergraduate and postgraduate students.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate in Data Science of Complex Systems who has:

• a PhD (or near completion) in Applied Mathematics, Statistics, Physics, Computer Science, or related field • Coding and computational skills for data-analysis skills • demonstrated ability to conduct research/scholarly activities under limited supervision • the ability and a willingness to collaborate in multidisciplinary teams to contribute to long-term research goals • excellent communication (written and verbal), organisational and problem-solving skills with attention to detail • a strong track record of publishing their research.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement

The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged.

Closing date for applications

11.59pm, 11 May 2022

How to apply

Please click the website link to apply

© The University of Sydney

EEO statement

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.