Postdoctoral Fellow in Network Science
University of Technology Sydney (View other jobs from this organisation)
Faculty of Engineering & IT / Advanced Analytics Institute
At UTS the concepts of equity and social justice are key to our core and purpose. We are recognised widely as supporting inclusivity and valuing diversity. Cited as a WGEA Employer of Choice since the inception of the award, we are now among the first Australian institutions to receive the Athena SWAN Bronze Accreditation for our commitment to action addressing gender equity in the STEMM disciplines. UTS Equal Futures celebrates and supports women in academia through every stage of their career.
As part of Athena SWAN, UTS has set an overarching target of 40 per cent academic women in STEMM by 2022. The Advanced Analytics Institute is committed to UTS’s target and supporting the career development of women academics. UTS Women in Engineering & IT program fosters a network of passionate females and males who are actively involved in the development of our next generation of young engineering and IT professionals.
The UTS Advanced Analytics Institute (AAi) is recruiting for a Postdoctoral Fellow in Network Science to play a key role with research concerned with dynamics and control of complex networks. The position will be based at the centrally located UTS Campus in Ultimo and will report directly to Associate Professor Katarzyna Musial-Gabrys.
Research at AAi spans the breadth of big data, data sciences and data analytics. Our research team is globally recognised for expertise in automated machine learning, network science, big data analytics, business analytics, data mining, machine learning, behaviour analytics, marketing analytics, social analytics, bioinformatics, decision-making, optimisation, risk analytics and management.
About the role
The Postdoctoral Fellow will work on the recently awarded ARC Discovery Project in the area of Network Science, support the development of high quality research funding applications and world-standard research outcomes. The position is associated with a project on Dynamics and Control of Complex Social Networks (ARC DP190101087).
The fundamental research in the area of controlling complex networks, has a wide range of applications, one of them being changing human behaviour. Gender imbalance, minority marginalisation, and organised criminal behaviour are the main case studies to be developed within this project.
The role focus is to:
- Conduct research on dynamics and control within the complex social networks
- Provide high level and strategic technical supervision of research students and other researchers involved in the project.
- Act as leader for design and delivery of software produced by the research project.
- Liaise with a range of external contacts including research collaborators, suppliers, industry, institutes, and the profession and other universities.
We are looking for a Postdoctoral Fellow, who has extensive hands-on experience in network science, social network analysis, simulation, mathematical modelling and machine learning.
- The ability to undertake empirical research with a successful record of research achievement and the potential to publish in journals of international repute.
- Demonstrated knowledge in areas directly relevant to Network Science as well as the ability to forge links with the Network Science profession and other key stakeholders.
- Hands on experience on network science areas such as dynamics modelling, link prediction, control in complex networks and hands on experience on programming e.g. Python, Matlab, Pytorch, Numpy, scipy.
- A doctorate in an appropriate area of computer science.
Base Salary Range: $78,170 to $107,733 pa (Level A. Step 1 – Level B. Step 2) depending on experience.
This role attracts 17% superannuation (pension) in addition to the base salary.
UTS staff also benefit from a wide range of Employee Benefits include flexible work practices, child care centres, generous parental leave and salary packaging opportunities.
This position is full-time and appointment will be made on a fixed termbasis for 30 months.
Our vision is to be a leading public university of technology recognised for our global impact. We are a dynamic and innovative university, ranked by the Times Higher Education as Australia’s top young university, and located centrally in one of the world’s most liveable cities. With a culturally diverse campus life and extensive international exchange and research programs, UTS prepares graduates for the workplaces of today and tomorrow.
How To Apply
For the full list of the selection criteria and role responsibilities please click the apply link and download the Position Statement from the UTS website.
UTS is committed to diversity and inclusion in our workforce and we encourage applicants where relevant to include a relative to opportunity or career disruption/break statement within their CV.
You are required to address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Answering Selection Criteriaâ€‹
Only those applications submitted via the UTS online recruitment system will be accepted. Current UTS employees should apply through their UTS Employee Self Service function. If you are an internal applicant and need help with how to apply through NEO – Click here.
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Specific enquiries or issues with your application may be directed to Pam Price in the UTS Recruitment Team at firstname.lastname@example.org or on +61 (0) 2 9514 1080.
Please be advised that as part of the selection process that you may be requested to deliver a presentation, the audience for which may include individuals not on the Selection Panel.
Closing Date: Thursday 25th July 2019 at 11.59pm(AEST)
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We welcome applications from women, Indigenous Australians, people with disability, those who identify as LGBTIQ and applicants from culturally and linguistically diverse backgrounds.
- Closing Date:
- 25 Jul 2019
- NSW - Ultimo
- $78,170 to $107,733 pa (Level A. Step 1 - Level B. Step 2) depending on experience.
- Work Type:
- Full Time
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