12 electrical-machine-"https:"-"https:"-"https:"-"https:" Fellowship positions at Monash University
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Research Fellow – AI/Machine Learning in Pharmaceutical Data Job No.: 697007 Location: Clayton campus Employment Type: Full-time Duration: 11-month fixed-term appointment Remuneration: $86,195
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spectroscopy, and electrical measurements. Operate and develop high-throughput fabrication platforms utilising advanced data processing, programming, and machine learning/automation approaches. Publish high
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, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and
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machine learning can be used to understand complex behaviours such as reliability, competence, transparency and trust. The position will design and develop innovative reasoning algorithms and knowledge
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strong computer literacy is also required. Join the team and contribute to research supporting the ongoing monitoring and evaluation of the national maternal and infant RSV protection program. Monash
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking an outstanding and highly motivated Research Fellow to join its internationally
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, privacy-preserving technologies, adversarial machine learning, explainable AI, or secure software engineering. Collaborate and Translate: Work within a supportive team, present findings at national and
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surface science Grow and fabricate 2D materials and thin-film heterostructures using molecular beam epitaxy, exfoliation and/or stacking techniques Fabricate devices and undertake low-temperature electrical
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application will include: A current CV A one-page research statement outlining your research to date and your future research plans For instructions on how to apply, please refer to 'How to apply for Monash
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equivalent relevant experience.) Research Statement (max 1 page): Summarize your current research achievements and future research objectives. Curriculum Vitae (CV): Include your academic degrees, publication