13 software-defined-network-phd PhD positions at Swinburne University of Technology in Australia
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Opportunity to help develop a novel nanophotonic therapy targeting drug-resistant hypertension Full-time, fixed term (3.5 years) position at our Hawthorn campus Annual stipend $40,000 About the Role We are seeking a highly motivated and skilled graduate in chemistry, materials science, chemical...
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biological tissues. Expertise in Multiphysics simulation software (e.g., COMSOL) and programming languages (e.g., MATLAB, Python, C++). Experience with biophotonics applications, such as endoscopy, optical
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. • Proficient computer skills, including competence in the use of MS Office and other software packages, especially word processing, database and spreadsheet skills. About Swinburne University of Technology
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EVs, underscoring a critical need for reimagined roadside safety solutions. This PhD scholarship is part of a larger, multi-stream research project in collaboration with KSI Global Australia
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Centre for Quantum Technology Theory (CQTT) Full-time, fixed term (3 year) position at our Hawthorn campus Annual stipend $34,700 About the Role We are seeking a highly motivated and talented PhD
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PhD Scholarship Opportunity offered by the Department of Mechanical Engineering and Product Design Engineering Full-time, fixed-term position (3-years) at our Hawthorn campus About the Role We
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an exciting PhD scholarship to tackle one of the most pressing environmental challenges—detecting methane emissions from space using advanced neural network technology. This unique opportunity is part of
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Centre for Forensic Behavioural Science Full time, fixed term position at Alphington, Victoria Stipend of $40,000 p.a. for 3 years About the Scholarship We have an exciting PhD scholarship
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) to establish an industry presence and build leadership networks. Centre for Forensic Behavioural Science The Centre for Forensic Behavioural Science (CFBS) is Australasia’s leading centre for excellence in
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and Prof Kath Hulse (Swinburne). This PhD project will analyse the role and mechanisms of social communication, learning and social networks in fostering sustainable and energy efficient household