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. The position contributes to “Brain-in-Space: A Machine Learning Framework for Self-Organizing Low-Earth Orbit Satellite Networks”, funded by the Global Science and Technology Diplomacy Fund. You will investigate
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Advance the theoretical foundations of machine learning, publish in premier venues and help shape the next generation of AI research. · Annual salary package: $104,481 (ACA Level A.4) - $112,550
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vision, navigation and planning. Some of your key responsibilities include: - Developing software that can be deployed to UAVs. - Carrying out research relevant to the above, in particular in the space of
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, but are not limited to: Artificial Intelligence and Machine Learning Generative AI, Foundation Models and Large Language Models Data Science and Data Analytics Data Management and Information Retrieval
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University Library (borrowing, printing, computer access and databases) Access to the employee flu shot program through the University How to apply Click APPLY and include your resume and a short cover letter
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computer skills in Microsoft Office applications, an understanding of Learning Management Systems, such as Moodle, and demonstrated integration of a range of learning technologies into a course or curriculum
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strongly encourage candidates with relevant teaching and research experience in one or more of the following areas to apply: Artificial Intelligence, Machine Learning, Neural Networks, Generative AI, Large
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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.). While the position start date is flexible, the successful applicant must have completed
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membership to Macquarie University Sport & Aquatics Centre Access to Macquarie University Library, (borrowing, printing, computer access and databases) Access to employee flu shot program and employee
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external customers • Good written and verbal communication skills • Ability to work well in a team and autonomously • Intermediate to Advance Computer Skills • Flexible working hours including 6am starting