The Data Science Lab is hiring!

We are interested in candidates at all levels from Ph.D. students, Master by Research (MRes), and post-doctoral fellows to visiting Ph.D. students or visiting scholars with demonstrated strong track record in AI and data science research and enterprise innovation. Candidates who are motivated for high-quality research output on original AI and data science problems or high impact innovation for enterprise AI and data science are welcome.

 
New: Two Research Fellow/Associate Positions

Successful candidates will work with Prof Cao on Australian Research Council Future Fellow, Discovery and LIEF grants:

• Postdoctoral Research Associates – Data Science, apply at SEEK.

 
PhD Scholarships: AI/Data Science/Machine Learning Frontiers

Ph.D. scholarships and postdoctoral fellowships are available for talented and well-motivated students and fellows to study high-quality and original AI, data science and machine learning problems. You are expected to work in the Data Science Lab with strong research culture and demonstrated impact to address foundational issues in deeply and completely understanding complex data, behavior, and systems, and to create cutting-edge and significant theories, algorithms, models and tools for advanced AI, data science, advanced analytics, shallow and deep machine learning, and applied statistics.

Research topics of interest include but are not limited to:
• Applied statistics and modeling
• Advanced optimization theories
• Shallow-to-deep non-IID learning
• Shallow-to-deep representation and learning of complex data, behaviors and systems
• Deep Bayesian learning and deep variational learning
• Representation and learning of poor-quality data, behaviors and systems
• Representation and learning of ultrahigh dimensional data, behaviors and systems
• Representation and learning of complex relations, couplings and interactions
• Representation and learning of hierarchical and dynamic heterogeneities
• Learning dynamic and high-dimensional uncertainties and dependencies
• Deep modeling of complex occurring and non-occurring behaviors
• Learning semantic and syntactic complexities in natural language, text and documents
• Large multimodal models
• Humanoid AI and AI robots

 
PhD Scholarships: Enterprise AI/Data Science/Machine Learning Innovation

Ph.D. scholarships are available for talented and well-motivated students who aim for high business, economic, social and environmental impact on innovative AI, data science and machine learning applications. You are expected to work in the Data Science Lab with a strong research culture and demonstrated impact to address practical issues in deeply and completely understanding real-world data, behaviors, and problems. Your Ph.D. or MRes will involve a certain proportion of onsite work and hands-on practice in major industry and government organizations to create novel and actionable algorithms, tools and systems for enterprise innovation in advanced AI, data science, advanced analytics, machine learning, and behavior informatics.

Research topics of interest include but are not limited to:
• Business, social, economic analytics and informatics
• Behavioral AI, analytics, computing and informatics
• Enterprise data representation and learning
• Cloud analytics of enterprise complex data
• Learning low and poor-quality enterprise data
• Multi-source and multimodal data analytics
• Analyzing large-scale, dynamic, high-dimensional and sparse data
• Modeling and analytics of complex behaviors
• Actionable and explainable machine learning for enterprise
• Analyzing, querying and recommending text and documents
• Long/short text-based semantic representation for query-answering and chatbot
• Detecting complex anomalies, frauds, exceptions, and risks
• Risk and compliance analytics of enterprise problems
• AI in FinTech and financial data analytics
• AI in digital health and care
• Enterprise data science in the public sector
• Enterprise data science in private sectors

 
Intake, Scholarship, and Inquiries

These positions are available per funding availability and candidate qualifications, sponsored by Australian government research funding, university, or major industry sponsors. Excellent domestic students are encouraged to apply. Ph.D. scholarship will be at tax-free >$32k p.a. for three years with 1 possible extension of six months. Students who work on industry-sponsored projects may receive additional top-up scholarship depending on your performance. The postdoctoral fellowship may be on Level A or Level B, depending on your track record.

Interested candidates would have got a solid background in statistics, AI, machine learning, pattern recognition, data science and analytics, programming capabilities, high GPA, research capabilities demonstrated by publications in major conferences and/or journals in the relevant areas. You are welcome to send us the following materials for consideration:

• Your full resume
• Your research plan (start/end dates, research significance, issues, tasks, methods, and expected outcomes etc.)
• Your publications (including three selected papers with your major contributions if applicable)
• Connection between your research plan and the relevant work in the Lab

More information about scholarships and applications can be found in https://www.mq.edu.au/research/phd-and-research-degrees/how-to-apply/scholarship-opportunities.

Your inquiries and initial application materials can be sent to contacts@datasciences.org.