139 fully-funded-phd-program-computer-science-eth PhD positions at RMIT University in Australia
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The CSIRO Industry PhD Program is a four-year research training program, focusing on applied research that benefits industry by solving real-world challenges. It aims to produce the next generation
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participating university PhD admission requirements. c) Meet university English language requirements. d) Not have previously completed a PhD. e) Be able to commence the Program in the year of the offer. f) Enrol
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Safety Products, from their Australian manufacturing facilities supporting this exciting R&D project. Receive continuous mentorship from the best in academia and industry. Enjoy a 12-week training program
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. There is a high likelihood of continued employment with a competitive numeration at APV Engineering, after the completion of PhD. This is a co-funded highly competitive scholarship, only available
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forward for a School-funded scholarship. Expertise in Human-Computer Interaction and Human-Centred Computing. Interest in Human-Centred AI and Social Computing. Aspiration to publish in leading venues
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School of Science (Physics Discipline), provides an opportunity for a talented student to undertake their Ph.D. on a computer-based molecular biophysics project of medical significance, funded by
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are now open. Applications are now open. 30/06/2025 30/06/2025 2 (two) 2 (two) Applicants must hold a Masters degree or an equivalent qualification in a relevant field such as health sciences, digital
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example, a Research Training Program (RTP) scholarship or other primary scholarship of similar value; not be in receipt of any other Top-Up scholarship; be available to commence with CSIRO prior to 30 June
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for the scholarship, the applicant must: Hold (or be completing) a Masters of Research or first-class Honours degree in physics, chemistry or a related discipline Have some research experience involving computation in
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision