AUD 41,600
Next Generation Graduates Program (NGGP): Sports Data Science & AI
Queensland University of TechnologyBrisbane, Australia
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Program Details
- Degree
- PhD
- Major
- Artificial Intelligence | Data Science | Sports Science
- Area of study
- Sports | Information and Communication Technologies
- Timing
- Full time
- Course Language
- English
Program Overview
Introduction to the Next Generation Graduates Program (NGGP): Sports Data Science & AI
The Centre for Data Science (CDS), the Australian Institute of Sport (AIS), and the Queensland Academy of Sport (QAS) are leading a consortium of government and industry organisations in sports, sports and biomedical technology, CSIRO, and 4 universities to develop pioneering sports data science capability in the lead-up to the Brisbane 2032 Olympic and Paralympic Games.
Program Overview
The NGGP grants are aimed at building a competitive and capable workforce that will drive the growth of the Australian tech sector. The program will fund a first cohort of 29 higher degree research (HDR) student placements (Honours, Masters, PhDs) and create a community of students who will learn together as they tackle research challenges.
Research Projects
The following research projects are available under the NGGP:
- Statistical learning and simulation tools for race strategy and profiling in athletics: This PhD project at QUT aims to develop methods to characterise and optimise pacing strategies for middle distance track events.
- Supporting Sporting Knowledge Discovery with Large Language Models: This PhD project at QUT seeks to develop methods to make video and/or numeric data interpretable/discoverable through Large Language Model (LLM) queries.
- Discovering Novel Strategies with Reinforcement Learning: This PhD project at QUT explores how reinforcement learning can be used to discover new sporting strategies.
- Integrating state of the art methods for time-series and athlete monitoring into decision support systems: This PhD project at the University of Technology Sydney focuses on improving the efficacy of quantifying and understanding athletes' performance longitudinally.
- Profiling athlete's throwing mechanics from video using high precision computer vision: This PhD project at QUT aims to develop high precision models to auto track throwing implements from a fixed video camera.
- AI and ML Techniques for Predicting Future Olympic and Paralympic Medal-Winning Performances: This PhD project at QUT seeks to develop sophisticated predictive models that consider the diverse categories of sports in the Olympic/Paralympic Games.
- Swimming race profiling, prediction and simulation using multivariate sensor data: This PhD project at QUT aims to develop individualised race profiles to predict race time distribution given different pacing profiles.
- A Hybrid Modelling Framework for Aerodynamic Performance Assessment in Sports: This PhD project at QUT focuses on integrating the Digital Twin and SuperSportFlow CFD for unified athlete performance and aerodynamic modelling.
- Predicting performance in Olympic Racing Sports: This PhD project at La Trobe University identifies relevant data categories for comprehensive performance prediction in racing sports.
- Characterising and Quantifying Player Performance in Wheelchair Basketball: This PhD project at QUT aims to develop advanced metrics to better compare players within and across disability classifications.
- Scanning and off-ball effort in Rugby: This PhD project at QUT explores the development of AI solutions to track off-ball effort and monitor how players scan the field.
- Modelling cumulative physical load during performance and relationships to injury: This PhD project at QUT investigates how to mitigate the risk of injury in a game by identifying a real-time measure of cumulative physical load.
- The Anatomy of a Thriving Club: Applying Data Science to Examine Organisational Capacity, Participant Growth, and Retention in Community Rugby Clubs: This PhD project at the University of Technology Sydney applies data science to examine organisational capacity and participant growth in community rugby clubs.
- Rugby facilities gap analysis: This PhD project at the University of Technology Sydney analyzes where to focus growth in facilities to prepare for future demands.
- A hard reset for cricket analysis: This PhD project at the University of Technology Sydney seeks to identify the next generation of cricket statistics and inform nuanced squad management.
- Wave forecasting at Olympic venues: complex system modelling: This PhD project at UNSW aims to improve forecasting of surf conditions at Olympic venues.
- Performance Physiology and Data Analytics in Motorsport: This PhD project at UNSW fuses sensors on both the athlete and the vehicle to monitor and optimise overall performance.
- Biology-based mental health correlations and predictions in athletes: This Honours project at QUT quantifies phenotype using AI to predict personalised markers of stress and correlates them to validated tools in mental health.
- The use of photobiomodulation (PBM light therapy) to improve athletic performance and reduce injury: This Masters project at UNSW investigates how PBM light therapy assists in athletic recovery, performance, and treatment of musculoskeletal injury.
- Prediction of relative hormonal environment for all common menstrual cycle 'types': This Honours project at QUT and UNSW develops an open-source predictive model for individual daily female hormonal profiles.
- Novel 360 degree viewing widget of menstrual cycle: This Honours project at QUT and UNSW aims to develop a novel 360-degree visualisation tool for better understanding the cyclical nature of women's training and wellbeing data.
- Novel Bayesian modelling and advanced inference to infer hydration state and dynamics: This PhD project at QUT develops novel Bayesian methods to model hydration state using data from a wearable sensor.
- Novel Neural Network Architectures for Robust and Explainable Biosensing: This PhD project at QUT develops novel neural network and deep learning-based techniques to classify a subject's hydration state and forecast future hydration states.
- Measuring Hydration State from Bioelectrical Impedance using Bayesian Inference: This PhD project at QUT aims to replicate and enhance the WearOptimo Bayesian inference pipeline for bioimpedance analysis.
Scholarship Opportunities
The NGGP offers the following scholarship opportunities:
- PhD Scholarships:
- $41,600 pa (tax-free)
- $20,840 in allowances (training, travel, thesis)
- Inclusion in additional training programs specifically for the NGGP cohort
- Open to domestic students only
- Honours/Masters by Coursework Scholarships:
- $10,000 pa (tax-free)
- $5,000 training allowance
- Inclusion in additional training programs specifically for the NGGP cohort
- Open to domestic students only
Conclusion
The Next Generation Graduates Program (NGGP): Sports Data Science & AI offers a unique opportunity for students to engage in cutting-edge research projects that combine data science and sports. With a range of scholarship opportunities available, the program aims to build a competitive and capable workforce that will drive the growth of the Australian tech sector.
About University
Queensland University of Technology (QUT)
Overview:
Queensland University of Technology (QUT) is a public university located in Brisbane, Australia. It is known for its focus on real-world learning and its strong research output. QUT offers a wide range of undergraduate and postgraduate programs across various disciplines, including business, law, creative industries, education, engineering, health, and science.
Services Offered:
The university provides a comprehensive range of services to support students, including:
Libraries and learning spaces:
QUT has multiple libraries and learning spaces equipped with modern resources and technology.Gym and sports facilities:
Students have access to various gym and sports facilities, promoting a healthy lifestyle.Food and retail:
The campuses offer a variety of food and retail options to cater to students' needs.Student support:
QUT provides comprehensive student support services, including academic advising, career counseling, and mental health resources.International student support:
The university offers dedicated support services for international students, including visa assistance and cultural orientation programs.Student Life and Campus Experience:
QUT offers a vibrant campus life with numerous opportunities for students to engage in extracurricular activities. These include:
Clubs and societies:
Students can join various clubs and societies based on their interests, fostering a sense of community.Sports:
QUT has a strong sporting culture, with opportunities to participate in various sports at different levels.Events:
The university hosts a variety of events throughout the year, including cultural festivals, workshops, and guest lectures.Key Reasons to Study There:
Real-world focus:
QUT emphasizes practical learning and prepares students for successful careers in their chosen fields.Strong research:
The university is renowned for its research excellence, with a focus on addressing real-world challenges.Industry partnerships:
QUT has strong industry partnerships, providing students with valuable networking opportunities and real-world experience.Flexible study options:
The university offers flexible study options, including online and part-time programs, catering to diverse student needs.Vibrant campus life:
QUT provides a dynamic campus environment with a wide range of extracurricular activities and social events.Academic Programs:
QUT offers a wide range of academic programs, including: