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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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computer vision and machine learning methods and adapt new algorithms to automate inspection procedures of PV plants. Given the data captured by a remotely operated drone, we first investigate the required
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You will explore the nature of metal corrosion inhibitor interactions through advanced molecular modelling and integrate this understanding into the formulation of evolutionary algorithms
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methods, and a brief reference list. For international applicants, evidence of English proficiency may be required. Applicants should contact Dr. Yimin Chen (yimin.chen@rmit.edu.au ) with the following
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clearly outlining your experience in developing distributed systems/applications; also important to list any publications, awards, and relevant professional experience English language proficiency test
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research statement of 1 or 2 pages where the potential candidate outlines the research problem and question(s) to be studied, proposed methods, and a brief reference list. For international applicants
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
Bachelor/Masters degree (or equivalent) in electrical/electronic engineering, nano/microfabrication, physics (optical) or a field related to the desired skills listed below, with a high level of academic
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an on-camera interview if you are short listed by 30 March 2025 (this date will change depending on ground reality, how fast we can advertise it getting internal approval from RMIT). If selected, we expect you
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your PhD in one of the projects listed below in further information to alberto.peruzzo@rmit.edu.au Please apply by emailing a cover letter including your GPA, your transcripts, your experience and how
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and a transcript of your undergraduate and postgraduate degree. Shot-listed candidates will be contacted for an online interview. Please email Dr Kate Wang at kate.wang@rmit.edu.au with your CV and a