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Australian Catholic University Scholarships

Eligible research projects for ACU Sport and Exercise Science Honours Scholarships


Interactions of Physiological and Cognitive Fatigue on Occupational Task Performance in Tactical Settings


Established Supervisor: Dr Patrick Campbell (Established Supervisor SPRINT) <Patrick.Campbell@acu.edu.au>

Emerging Supervisor: Dr Daniel Chalkley (emerging supervisor SPRINT)
Third Supervisor NameMr Michael Rigney (emerging supervisor not in an established research group)

Project Description

This project examines how physiological and cognitive fatigue interact under operationally relevant stressors, including environmental extremes, carrying load, and behavioural demands; and how these combined effects influence task performance. Particular emphasis will be placed on cognitive fatigue and situation awareness, both of which underpin safe and effective task execution under fatigue. By applying innovative assessment methods to capture cognitive performance in context, the project seeks to better contextualise fatigue and task performance. The outcomes will inform strategies to mitigate fatigue-related errors, improve task readiness, and support the long-term health and wellbeing of tactical personnel.

Description of the research

In addition to their Honours thesis, students will have the opportunity to participate in an optional research internship aligned with the ACU National Centre for Veterans & Families. This experience is designed to enhance readiness for future HDR study and industry research engagement. Activities may include assisting in qualitative and quantitative data analysis on connected centre projects, supporting survey development and participant recruitment, or contributing to knowledge translation materials tailored for policymakers and community partners. Students may also help plan research network events, contribute to collaborative projects with defence and veteran organisations, or shadow researchers in project management activities.




Physical Performance Profiles Across the Queensland Rugby League Women’s Pathway


Established Supervisor: Dr Patrick Campbell 
<Patrick.Campbell@acu.edu.au>
Emerging Supervisor: Dr Chris McCosker
Third Supervisor NameDr Matthew Jeffriess

Project Description

This project will analyse the improvement in physical performance qualities longitudinally as athletes progress across the QRL development pathways. Attributes such as speed, strength, power, and aerobic fitness will be considered alongside training history and competitive experience. By profiling athletes across stages of the pathway, the study will highlight performance trends and identify areas of improvement for training strategies. This research will provide insights into long-term athlete development within women’s rugby league. For QRL, the outcomes will support talent identification and athlete progression planning, clarifying which qualities are critical for advancement to higher competition levels.

Description of the research

In addition to their Honours thesis, students will have the opportunity to participate in an optional research internship aligned with QRL player & referee-affiliated programs. This experience is designed to enhance readiness for future HDR study and professional research engagement. Activities may include assisting with physical performance testing, collecting and analysing GPS and match data, supporting the coordination of on-field training sessions with QRL-affiliated players and referees, and engaging with project management tasks within the research team. Students may also contribute to translation materials for end-users, developing applied outputs that directly inform QRL practices. Participation is encouraged but not mandatory.



Determinants of Performance in Change of Direction Tasks in World-Class Female Field Sport Athletes


Established Supervisor: Dr. Mark W. Creaby <Mark.Creaby@acu.edu.au> 
Emerging Supervisor: Dr. Vaughan Nicholson (School of Allied Health, representing a multi-disciplinary collaboration)
Third Supervisor NameDr. Jonothan Weakley

Project Description

Change of direction tasks (CODs) are a core component of most field sports, with faster completion times of these skills associated with winning games. Studies in a range of athletic populations completing pre-planned CODs have identified a range of biomechanical variables associated with performance outcomes, but findings differ across studies, with most limited to male athletes. This project will lean on existing collaborations to examine the relationship between COD performance and joint-level biomechanics in World-Class female athletes. Findings will assist in identifying modifiable factors that team performance staff can leverage to improve performance outcomes in their athletes. Students with a keen interest in biomechanics, data analytics and applied sport science research will be well suited to this project, incorporating data collection, analysis, and communication of findings with industry partners.


Description of the research

The successful student would have the opportunity to contribute towards the analysis of biomechanical data collected as part of a larger collaboration with a national representative team and governing body. This will include analyses of other sports specific skills, and training in modelling muscle and joint forces during these exercises.




Built for the Game: Profiling Physical Traits Across Rugby’s Elite Pathway


Established Supervisor: Jonathon Weakley <Jonathon.Weakley@acu.edu.au>
Emerging Supervisor: Vaughan Nicholson
Third Supervisor NameNA

Project Description

This project investigates the physical profiles of Australian Rugby players across different playing levels, including international, Super Rugby, and domestic competitions. By analysing key anthropometric and performance metrics, the study aims to identify distinguishing physical qualities that align with coach-identified priorities for selection and development. The findings will help inform talent identification and training strategies across the elite pathway. Students with interests in athlete profiling, performance testing, and applied sport science will be well suited to this project, which includes access to national-level datasets and collaboration with practitioners in high-performance environments.


Description of the research

In addition to the core project, the student will have the opportunity to undertake a research internship alongside the Head of Sport Science at Rugby Australia. This experience will involve contributing to ongoing performance analysis initiatives, gaining exposure to elite athlete monitoring systems, and supporting the translation of research findings into applied practice.


From Club to Country: A GPS-Based Analysis of Rugby Match Demands in Australian Rugby


Established Supervisor: Jonathon Weakley <Jonathon.Weakley@acu.edu.au>
Emerging Supervisor: Vaughan Nicholson
Third Supervisor NameNA

Project Description

To enhance understanding of match demands across competition levels, this project investigates GPS-derived external load metrics from international, Super Rugby, and Australian Super Rugby matches. Despite widespread GPS use, limited research has compared positional and competition-level differences in movement profiles, intensity zones, and peak demands. This project will quantify and contrast key performance indicators to inform training prescription and athlete monitoring practices. Students with interests in performance analysis, applied sport science, and data analytics will be well suited to this project, which includes hands-on experience with GPS data processing, statistical modelling, and collaboration with elite rugby environments.

Description of the research

As part of this project, the student will have the opportunity to collaborate with the Head of Sport Science at Rugby Australia. This internship will support the broader investigation by providing exposure to elite performance environments and hands-on experience in GPS data analysis, contributing to the translation of research findings into applied practice.



The Role of Stroke Rate on Rowing Technique and Biomechanical Output


Established Supervisor: Nirav Maniar 
<Nirav.Maniar@acu.edu.au>
Emerging Supervisor: Natalie Legge
Third Supervisor NameN/A

Project Description

As part of an established project, this honours project will involve an established SPRINT researcher, an ACU researcher who specialises in rowing biomechanics and technique and an industry partner, the NSW Institute of Sport. Rowing Instrumentation Systems are used to assess rowing technique using a specialised equipment that measures force, stroke length, boat velocity and boat acceleration. The student will be provided with a dataset of high ecological validity to analyse and address the research question as well as an opportunity to collect their own raw data to expose the student to the entire original research process. A large proportion of rowing training is completed at lower stroke rates, around 20 strokes per minute (spm), while racing stroke rate can more than double at 40 spm. It is important to understand the effect of stroke rate on rowing technique as technical differences may have implications for training. The aim of this project is establish if and how rowing technique may change from low to high stroke rate in junior and elite rowers.


Description of the research

This research project will provide the honours student with an opportunity to development skills using a specialised biomechanical system in a field-based setting measuring forces, angles, and speed to evaluate rowing technique. The student will be given the opportunity to participate in meetings with NSWIS as the key industry partner to ensure end-user driven research. The student will gain an understanding of discrete and time series data analysis and begin to develop data analytic skills using R. These skills are relevant in many areas of sport and exercise research and can provide the honours student with a base of knowledge to progress to future HDR research opportunities.


Applied Situation Awareness and Human Performance Technologies


Established Supervisor: Professor Gert-Jan Pepping 
<gert-jan.pepping@acu.edu.au>
Emerging Supervisor: Dr Daniel Chalkley
Third Supervisor NameN/A

Project Description

This project will investigate the alignment between coaches’ intuitive evaluations and standardised athlete performance metrics within talent identification programs. Focusing on junior athletes from Olympic and Paralympic sports, the study will examine how subjective coaching insights compare to data-driven assessments in predicting athletic potential. The research will provide foundational insights to refine talent identification methods and enhance the integration of objective and subjective approaches in athlete selection processes.

Description of the research internship opportunity

The student will have the opportunity to collaborate with affiliated research projects within the Queensland Academy of Sport (QAS) Talent and Coaching team. They will engage with ongoing research, including athlete testing protocols, qualitative data analysis of coaching evaluations, and talent development strategies. Internship activities may involve hands-on experience with athlete testing, contributing to data analysis pipelines, or preparing reports for QAS stakeholders. Students will also have opportunities to shadow experts in skill acquisition and coaching science to build a network and gain practical skills for HDR readiness.


Biomechanical Demand of Weightlifting Derivatives


Established Supervisor: Dr. Mark Creaby <Mark.Creaby@acu.edu.au> 
Emerging Supervisor: Dr. Daniel Chalkley
Third Supervisor NameDr. Jonathon Weakley

Project Description

To optimise strength training in team sports athletes, variations of weightlifting are used to accentuate some components of the lift whilst removing others. Despite the frequent use of this approach, there is limited understanding of the inter-lift and inter-individual differences in biomechanical demand. This project will explore the differences in external and internal biomechanical demand of weightlifting derivatives commonly used in team sports athletes to enable strength and conditioning coaches to make informed decisions regarding the most appropriate exercises for their athletes. Students with a keen interest in biomechanics, motor learning and applied sport science research will be well suited to this project, incorporating hands-on experience in data collection and analysis.

Description of the research internship opportunity

The successful student would have the opportunity to contribute towards the analysis of biomechanical data collected during a range of resistance training and weightlifting exercises in both competitive lifting and team sports athletes, specifically to receive training in and to mathematically model muscle and joint forces during these exercises.


Validity of Athlete Tracking Microtechnology Proprietary Gait Metrics


Established Supervisor: Prof Stuart Cormack <Stuart.Cormack@acu.edu.au>
Emerging Supervisor: Mark Moresi
Third Supervisor NameGrant Duthie

Project Description

Recent research conducted in the SPRINT Research Centre has demonstrated that microtechnology devices such as Global Navigation Satellite System Units (GNSS) with embed Inertial Measurement Units (IMU’s) commonly worn by team sport athletes can be used to derive valid and reliable gait variables such as contact time, flight time, step time and vertical ground reaction force. Furthermore, these units have been demonstrated to be able to detect fatigue related changes in running gait through variables such as vertical stiffness. These advances allow detailed gait analysis in the field although are not currently available in the software provided by microtechnology companies. However, the software provided by companies does report variables that are supposedly representations of gait such as number of footstrikes and a range of other metrics but the validity and reliability of these metrics is unclear. The aim of this work is to compare these proprietary metrics to validated gait measures during running.

Description of the research internship opportunity

A student undertaking this research would have the opportunity to assist/be exposed to other projects in the SPRINT Research Centre. This would include research involving a range of technologies used in High Performance Sport (e.g. force plates, accelerometers etc.) in addition to the potential for development of skills for data analysis such as coding in R.


Biomechanics of Weightlifting and Powerlifting


Established Supervisor: Jonathon Weakley <Jonathon.Weakley@acu.edu.au>
Emerging Supervisor: Michael Psarakis
Third Supervisor NameGrant Duthie, Mark Creaby

Project Description

This project explores the biomechanics of weightlifting and powerlifting, aiming to uncover key insights into movement efficiency, force production, and potential methods of injury prevention. This project will involve the use of motion capture systems, force plates, and accelerometers to help assess biomechanical variables across various lifts. Participants will gain hands-on experience in data collection and analysis while collaborating with Dr Jonathon Weakley, Dr Michael Psarakis, Dr Mark Creaby, and A/Prof. Grant Duthie. This project is ideal for students passionate about biomechanics, strength sports, and applied sport science research.

Description of the research internship opportunity

The successful student will have the opportunity to contribute towards additional, ongoing projects that are investigating the biomechanics of Olympic weightlifting in national and international level athletes.



Performance and Decision-Making in Elite Tennis Match Play


Established Supervisor: Dr Daniel Chalkley <Daniel.Chalkley@acu.edu.au>

Emerging Supervisor: Dr Matt Jeffriess

Project Description

This honours project will examine performance, tactical, and decision-making characteristics associated with success in elite tennis match play. Using applied sport science and performance analysis approaches, the project will investigate how players adapt their behaviour under varying match contexts, including pressure situations, serve conditions, and movement demands. Depending on the student’s interests, the project may explore topics such as differences between winning and losing performances, serve effectiveness, positional adjustments in response to shot characteristics, or movement patterns across match play.

The project will be embedded within a high-performance tennis environment, ensuring strong ecological validity and practical relevance. Data will be derived from existing performance datasets and match statistics commonly used within elite tennis settings. Outcomes from this research will contribute to evidence-based coaching practice and enhance understanding of performance demands in professional tennis, while also developing the student’s skills in applied sport science research and analysis.

Description of the research

This project uses an applied quantitative research design, combining performance analysis, notational data, and basic match statistics from elite tennis competitions. The student will work closely with the supervisory team to refine a specific research question and analytical approach appropriate for honours-level study. The project is embedded within a Tennis Australia high-performance context, allowing collaboration with industry practitioners and exposure to real-world performance environments, while maintaining appropriate academic rigour and ethical standards.

An optional research internship will be embedded within Tennis Australia, providing the student with hands-on experience in an elite sport environment. Under the guidance of Tennis Australia staff, including Dr Lyndon Krause and Dr Machar Reid, the student will have opportunities to engage in real-world data collection, management, and analysis aligned with high-performance tennis programs. This industry-linked experience will enhance the student’s applied research skills, professional networks, and understanding of how sport science evidence informs decision-making in elite tennis settings.