Analyse the past or reprogram the future
Undertake a Computing, Information Technology or Mathematical Sciences research-based higher degree at Flinders, and you’ll have the opportunity to explore some of the biggest unanswered questions of our time.
I am an
International Student
I am a
Domestic Student
Why undertake a PhD in Computing, Information Technology or Mathematical Sciences at Flinders
With the guidance of an expert supervisor, take the opportunity to leverage Flinders’ extensive industry connections and plug into our $120 million hub of innovation and entrepreneurship at Tonsley.
Your chosen research area is flexible, and ultimately agreed between you and your supervisor. Areas of focus could include:
You will drive a project that creates valuable new scientific knowledge; finding solutions that will help to build a healthier, prosperous and more secure Australia.
Analyse the past or reprogram the future. Join us to pursue your passion, develop advanced research skills, explore multi-disciplinary problems and seek impactful answers to well-defined problems.
A PhD in Computer Science, Information Technology or Mathematical Sciences will position you as an expert in your area of specialisation. A PhD is a stepping stone to professional research or as a highly sought-after expert in the private or public sector in Australia or internationally. This prestigious degree will equip you with valuable skills in communications, time management and organisation transferrable to any role.
The Medical Device Research Institute (MDRI) aims to develop innovative solutions to a range of healthcare problems including: new assistive technologies to make rehabilitation more engaging and build independence for people living with impairments; developing personalised models and new medical devices to improve surgery successes and big data to better understand Australian health. To achieve this, we are bringing great minds together; engineers and clinicians, health researchers and web developers, designers and users, industry and government to collaborate on creative solutions to address global healthcare challenges.
The Flinders Digital Health Research Centre, concentrates on projects developing and deploying computational solutions which provide benefits to the management of health in numerous social and clinical settings, including home and workplace. Our emphasis is on empowering individuals through customising and personalising health information and processes. Projects cover a wide range of technical areas in health informatics including cybersecurity, data management and analysis, human-computer interaction, health software, messaging and terminologies, mHealth and social media and telehealth.
Flinders academic staff are recognised experts in their specialised Computing, Information Technology or Mathematical Sciences fields. They are embedded in real-world applications of research, with extensive knowledge, networks and industry partners to support PhD students and deliver exciting and valuable research outcomes.
Get in touch with a supervisor of your choice today, to discuss your area of interest, and start on your path to thought leadership.
Professor David Powers |
Artificial intelligence, computational models of language acquisition, machine learning, natural language learning, robotic and biomedical engineering |
Professor Giselle Rampersad |
Innovation ecosystems, technology adoption and acceptance, future of work and industry 4.0 |
Dr Gobert Lee |
Computer-aided-diagnosis (CAD), medical image analysis, statistical pattern recognition |
Dr Mariusz Bajger | Medical image analysis, mammography, image processing, image segmentation, pattern recognition |
Dr Greg Falzon | Wild dogs, smart farm, biosecurity monitoring, wildlife |
Dr Iwan Jensen | Square lattice, polygons, exponents, series expansion |
Professor John Roddick |
Data mining and knowledge discovery, data semantics, database modelling |
Dr Michael Haythorpe | Mathematics, graph theory, algorithm development, numerical optimisation, combinatorics |
Dr Paul Gardner-Stephen |
Computer science, information/communication technology, resilience, Serval project and mesh networking |
Dr Paulo Santos | Artificial intelligence, cognitive science, robotics |
Dr Saeed Rehman | Transmitters, telecommunications, data mining |
Dr Shaowen Qin | Data mining and knowledge discovery, decision support systems, software engineering, systems dynamic modelling and simulation |
Dr Trent Lewis | Audio-visual speech processing (human and machine), brain signal analysis, machine learning, multi-modal fusion |
Professor Trish Williams | Digital health, cybersecurity in healthcare health informatics, information security, data governance |
Associate Professor Vlad Ejov | CR-manifolds and transformation groups, combinatorial optimisation, complexity theory |
Dr Yang Shi | Mathematical physics, integrable systems, coxeter groups and special functions |
Dr Lua Perimal-Lewis | Digital health app development intervention and trials, consumer digital health, clinical data science |
Review the course rule
Submit your application
Review the course rule
Submit your application
If you have a question about how to apply, please review our Frequently Asked Questions before submitting an enquiry.
For all other course enquiries phone, email or complete the enquiry form.
Office of Graduate Research
Phone: (08) 8201 5893
Email: hdr.admissions@flinders.edu.au.
If you have a question about how to apply, please review our Frequently Asked Questions before submitting an enquiry.
For all other course enquiries phone, email or complete the enquiry form.
Office of Graduate Research
Phone: (08) 8201 5893
Email: hdr.admissions@flinders.edu.au.
Sturt Rd, Bedford Park
South Australia 5042
South Australia | Northern Territory
Global | Online
Flinders University uses cookies to ensure website functionality, personalisation and a variety of purposes as set out in its website privacy statement. This statement explains cookies and their use by Flinders.
If you consent to the use of our cookies then please click the button below:
If you do not consent to the use of all our cookies then please click the button below. Clicking this button will result in all cookies being rejected except for those that are required for essential functionality on our website.