{"id":139425,"date":"2023-09-14T03:00:48","date_gmt":"2023-09-14T01:00:48","guid":{"rendered":"https:\/\/www.cde.ual.es\/?p=139425"},"modified":"2023-09-13T13:44:03","modified_gmt":"2023-09-13T11:44:03","slug":"phd-candidate-in-the-area-of-edge-intelligence-design-and-optimization-in-norway","status":"publish","type":"post","link":"https:\/\/www.cde.ual.es\/en\/phd-candidate-in-the-area-of-edge-intelligence-design-and-optimization-in-norway\/","title":{"rendered":"PhD Candidate in the Area of Edge Intelligence Design and Optimization in Norway"},"content":{"rendered":"

This PhD project will aim at proposing and implementing new techniques and frameworks to design and optimize deep learning models for edge systems. To efficiently execute deep learning applications at the edge, energy-efficient edge accelerators have been proposed in recent years such as EdgeTPU, Eyeriss, etc. Hence, designing and optimizing deep learning models for accelerators requires the knowledge of both accelerators and deep learning techniques.<\/p>\n

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The research outcome is expected to produce high-quality publications in top edge computing\/AI venues.
\nFor a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.<\/p>\n

The position\u2019s working place is at NTNU campus in Trondheim.<\/p>\n

Your immediate leader will be the group leader of Computing.<\/p>\n<\/div>\n<\/div>\n

Duties of the position<\/strong><\/p>\n