澳大利亚国立大学(ANU)计算机学院2025年博士后招聘

Postdoctoral / Research Fellow, School of Computing

Employer

AUSTRALIAN NATIONAL UNIVERSITY (ANU)

Location

Canberra, ACT, Australian Capital Territory, Australia

Salary

$87,135 - $134,507 per annum plus 17% superannuation

Closing date

15 Oct 2025

Classification: Academic Level A/B

Salary package: $87,135 - $134,507 per annum plus 17% superannuation

Terms: 3x Full time, Fixed term (up to 24 months)

Position Description and Selection Criteria: PD&PEWER Level A&B Postdoctoral - Research Fellow _ CSS.pdf

This position will provide opportunities to:

Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig economies and prediction markets.

Opportunity to supervise research students and work as part of a larger team.

Opportunities for inter-disciplinary collaborations, and collaborate with industry and government

About the opportunity

We invite applications for multiple Postdoctoral / Research Fellow positions to contribute to a range of exciting projects in artificial intelligence (AI), machine learning (ML), and algorithms. These are two-year fixed-term appointments within a vibrant and growing research community at ANU. The successful candidates will join teams working on projects that span core AI research and interdisciplinary collaborations through the ANU Integrated AI Network (ai.anu.edu.au), focusing on integrating human and social values into AI systems.

Three key research streams are available:

Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice. Applicants with expertise in probabilistic modelling, approximate inference, deep learning, or Bayesian optimisation are encouraged to apply.

Interpretable Machine Learning for Natural Language – Led by Prof Lexing Xie, this stream applies machine learning to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human-centered ML, or NLP. Supported by an ARC Future Fellowship and CSIRO-NSF project.

Computational Analysis of Online Economies – Led by Prof Lexing Xie and Dr Yun Kuen Cheung, this research explores digital markets and social platforms using ML, game theory, and computational economics.

We welcome applicants with diverse skills and research methodologies.

To enquire about this opportunity, please contact

Prof Lexing Xie at E: lexing.xie@anu.edu.au , or

Dr Thang Bui at E: thang.bui@anu.edu.au, or

Dr Yun Kuen Cheung at E: yunkuen.cheung@anu.edu.au

About ANU and School of Computing, please click here

The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au

ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion

How to apply

Applicants must apply online via the ANU recruitment portal and should upload the following separate documents:

A detailed curriculum vitae (CV) including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form.

A cover letter outlining your research experience, objectives, and perceived fit to one of the positions, OR a statement addressing the selection criteria. Please make it clear on your application what level you are applying for (Level A or Level B)

Other documents, if required.

Applications which do not have a cover letter or do not address the selection criteria may not be considered for the position.

Please note: The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.

Closing date: Wednesday, 15 October 2025, 11.55PM (AEST)

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