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the degree of Doctor of Philosophy (Electronics Engineering) by RMIT. The duration for this scholarship is 3 years full-time research and upon successful completion, the candidate will be awarded the degree
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additive manufacturing techniques by incorporating live cells into hierarchical, multi-component structures. While this technology holds immense potential, current methods lack the ability to include
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complete any other CSIRO requirements. Ideally, the applicant will have: a bachelor’s degree in chemistry, chemical engineering, material science or engineering or relevant fields. Preference will be given
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background in Electrical and Electronics / Mechatronics / Mechanical Engineering or Physics. We want diverse and creative scholars who are excited about being part of our vibrant research team. The applicant
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for individuals who are deeply committed to environmental stewardship and eager to apply their specialised skills in data analysis, software development, and electrical / energy engineering to make a significant
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PhD Scholarship in Assistive Technology and Disability Job No.: 665632 Location: Clayton or Caulfield campus Employment Type: Full-time (expected to be full-time but may be part-time if health
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International students PhD Eligibility Criteria Honors or Masters degree in Electrical, Electronic or Biomedical Engineering or a closely related discipline. The applicant will need to meet the minimum
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, supervisors will come from the School of Chemistry and/or the Department of Chemical Engineering . At Bath, supervisors will be affiliated with the Centre for Sustainable and Circular Technologies (CSCT
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applications in engineering areas. additional background or experience in machine learning, data analytics, and other computer science areas would be an advantage experience in power system simulation software
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Mathematical and numerical models of piezoelectric wave energy converters (MPhil or PhD scholarship)
undergraduate degree or equivalent, in applied mathematics, engineering, or a related discipline have experience writing numerical software in a relevant language (e.g., MATLAB, Julia, Python or C) and modelling