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equivalent) in Engineering, Physics, Data Analytics or other relevant areas. Experience of maintenance practices and environmental data is useful but not essential. Overseas/EU: Applications accepted until
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analytics, and communication research. Maintain an active research agenda. Advise undergraduate and graduate students. Contribute to curriculum development and departmental service. Minimum Qualifications PhD
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visitors, and to assess the effectiveness of our marketing campaigns. marketingOnOff Analytics Cookies Analytical cookies help us to improve our website by collecting and reporting information on its usage
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Requirements and further details: This 4 year fully funded studentship is open to applicants with a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Physics, Data Analytics
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international academic journals. You can demonstrate the potential to develop an independent research profile. Holding a PhD or being close to completing one (i.e., the PhD must be completed before the starting
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: This 4 year fully funded studentship is open to applicants with a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Machine Learning, Physics, Data Analytics or other
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the wind/renewable energy training and research elements of the CDT programme. Funded by Statkraft and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area of data
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– $112,730 per annum, dependent on skills and experience For more information about this role, please refer to the Position Description About you Our ideal candidate: Has a PhD in Computer Science or in fields
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should have: A PhD degree in the following areas Business Analytics Artificial Intelligence Information Systems Marketing Other emerging or interdisciplinary fields relevant to Business Analytics; Proven
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, Embodied Intelligence, Human-Computer Interaction, Visual Analytics, Computer Vision, Data Mining, Computing Systems Hardware and Software, Networking and Distributed Computing, Theory and algorithms; Power