
Accelerating Innovation in Artificial Intelligence Research
2 days ago
The ANU Integrated AI Network is seeking highly skilled and motivated researchers to contribute to cutting-edge projects in artificial intelligence, machine learning, and algorithms.
- Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice, incorporating theoretical foundations of machine learning and practical applications.
- Interpretable Machine Learning for Natural Language – Led by Prof Lexing Xie, this stream applies advanced statistical models and machine learning techniques to climate, health, and environmental challenges, with a focus on developing transparent and explainable models.
- Computational Analysis of Online Economies – Led by Prof Lexing Xie and Dr Yun Kuen Cheung, this research explores the intersection of digital markets, social platforms, and computational economics using ML, game theory, and other analytical tools.
Candidates will work collaboratively with interdisciplinary teams across the network, driving innovation and advancing knowledge in AI research.
Eligibility Criteria
To be eligible, applicants must possess a strong background in AI research, expertise in programming languages such as Python or R, and excellent communication and teamwork skills.
What We Offer
The successful candidates will have access to state-of-the-art research facilities, opportunities for professional development, and a dynamic and supportive work environment.
Application Instructions
Applicants should visit our website to submit their application, including a detailed CV, cover letter, and any additional required documents.
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