17 computer-"https:"-"https:"-"https:"-"https:"-"https:" positions at Queen's University Belfast
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Edge Intelligence Job description About the job: You will be a highly productive, ambitious and collaborative member of National Edge AI Hub (https://edgeaihub.co.uk/) research project/team assisting in
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team, ensuring the delivery of high-quality technical support services to customers. She/he will lead a team of Computer Assistants, providing guidance, mentoring, and technical expertise to ensure
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equivalent) in high-power laser plasma interaction and related areas. Demonstrate significant experience in experimental research using high-power lasers, Experience in using computer codes for data
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demonstrate that you meet the following essential criteria: Have, or be about to obtain, a relevant PhD in Electrical and Electronic Engineering/Computer Science (or related discipline) Good hardware
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that you meet the following essential criteria: Have a relevant MSc in Electrical and Electronic Engineering/Computer Science (or related discipline). Good hardware / software design skills. Good
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application should clearly demonstrate that you meet the following essential criteria: Have, or be about to obtain, a relevant MSc in Electrical and Electronic Engineering/Computer Science (or
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your application should clearly demonstrate that you meet the following essential criteria: 1. Hold a 2:1 Honours degree in Electrical and Electronic Engineering, Computer Science, Mathematics or other
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clearly demonstrate that you meet the following essential criteria: Hold a 2:1 Degree or above BSc in Computer Science, Cyber-security, AI or related. MSc is desirable for this position. Have significant
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more broadly across the University and with key external stakeholders. About the person: Essential Criteria: Hold at least a 2:1 degree (or equivalent) in Data Science, Computer Science or a related
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discipline. A minimum of three years’ relevant research experience in: Concrete compression structure Use of sensors for SHM and post processing techniques e.g. computer vision Experience in NLFEA of