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Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base
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analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic performance apply machine-learning interatomic potentials and microkinetic models where appropriate
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mentoring of PhD and Honours students participating in the project. Provide technical guidance to students undertaking antenna modelling, additive manufacturing, prototyping and experimental measurements
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specific skills, knowledge and experience sections from the Position Description below For further information about this position, please contact Associate Professor Jonathan Duffy, Sciences and Engineering
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Ling Yap Dr Md Mijanur Rahman Key skills and experience required: A PhD in Biostatistics, Epidemiology, Data Science, or related discipline and/or relevant work experience Have contributed to competitive
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operation. Translate device concepts into CAD models and engineering drawings, and coordinate component fabrication, procurement and assembly as required. Analyse and interpret experimental data, maintain
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operation. Translate device concepts into CAD models and engineering drawings, and coordinate component fabrication, procurement and assembly as required. Analyse and interpret experimental data, maintain
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12 Sep 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Researcher Profile Leading Researcher (R4) Application Deadline 26 Sep 2026 - 00:00 (UTC
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Electrochemical Engineering to work in the Electrochemical Engineering Lab led by Dr Fengwang Li. This position offers an opportunity to contribute to an applied research program focused on electrochemical
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in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing systems, data collection