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from the Institute of Sensors and Signals (ISS) at Heriot-Watt University and Prof. Mike Davies at the University of Edinburgh, Leonardo staff, PhD students and the other PDRAs at the collaborating
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papers; presentation of research at conferences. Assist the development of student research skills, and be expected to contribute to the assessment of student knowledge (particularly PhD students) in
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have a PhD in computer science or an associated field, and a strong research track record at international level, demonstrated through publications, citations, external invitations and research funding
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The successful candidate will be expected to conduct and lead their own experiments whilst also supervising the activities of junior group members and PhD students Responsibilities will also include assistance in
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. Qualifications: PhD or Masters in a relevant field Ability to teach either Undergraduate and/or Postgraduate programmes. Minimum of 5 years industry experience (if no previous University teaching experience
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Criteria Qualifications PhD in Economics or related fields (or close to successful completion) Knowledge, Skills & Experience Strong background in economic modelling, cost-benefit analysis, and policy
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, chemical metallurgy or materials science/engineering relating to the mining and recycling sector with relevant PhD degree in this domain. Proven expertise, research supervision and research track record
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of Professional bodies. Experience of working in Higher Education, with researchers at all levels (PhD students and academic staff) and in partnership with other internal and external colleagues. Ability to manage
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, campus. Essential & Desirable Criteria To be considered for the role the candidate must have a PhD in mathematical sciences, evidence of collaboration with external partners (industry, public sector) and a
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already has some industry experience Recently completed (or completing) an MRes, MSc, MPhil, or PhD in: Innovation & Entrepreneurship; Business Analytics or Decision Science; Public Policy, Economic