Overview
The University of Technology Sydney (UTS) is offering two PhD scholarships within its Data Science and Machine Intelligence Lab. This opportunity is significant for aspiring researchers in the fields of data science and machine intelligence, providing a platform for impactful research and collaboration.
Background & Relevance
UTS has been recognized as the top computer science institution in Australia and ranks 29th globally. The Advanced Analytics Institute at UTS is renowned for its contributions to big data and analytics research. The Data Science and Machine Intelligence Lab focuses on various critical areas, including predictive analytics, natural language processing, and recommender systems. This environment fosters innovative research that addresses real-world challenges, making it a vital hub for the AI/ML community.
Key Details
- Scholarship Amount: Approximately AU$54,000 per annum for three years, including living stipends and tuition fee waivers for international students.
- Eligibility: Open to local and international students with strong academic backgrounds.
- Research Areas: Interpretable machine learning, explainable recommender systems, knowledge graphs, representation learning, deep learning, and transfer learning.
Eligibility & Participation
Candidates should have completed or be nearing completion of an Honours or Master’s degree in Computer Science, Mathematics, Statistics, or related fields. A minimum English language proficiency score of 6.5 in IELTS (with a writing band over 6.0) or an equivalent TOEFL score is required. Previous experience in data science, machine learning, or NLP is advantageous but not mandatory.
Submission or Application Guidelines
Interested candidates should submit a detailed CV that includes relevant qualifications, experience, publications, and academic transcripts. Applications should be directed to Prof. Guandong Xu at Guandong.Xu@uts.edu.au.
Additional Context / Real-World Relevance
The emphasis on data science and machine intelligence is increasingly relevant in today’s data-driven world. Research in these areas not only contributes to academic knowledge but also has practical implications across various industries, enhancing decision-making processes and improving user experiences.
Conclusion
This is an excellent opportunity for motivated individuals looking to advance their academic careers in data science. Interested candidates are encouraged to apply and explore the potential for impactful research at UTS.
Category: PhD & Postdoc Positions
Tags: data science, machine learning, natural language processing, recommender systems, deep learning, transfer learning, statistics, mathematics, UTS, scholarships
