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of research in applied statistics or actuarial data science - which may also include machine learning, financial risk and climate change risk - as demonstrated through publications, citations, external
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, challenging project. Learning on the job isn't just a benefit – it's a must. Education, Qualifications and Experience Essential Criteria Applicants should hold a PhD in a relevant area of Engineering
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: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing Good communication skills and an appropriate publication record are essential. Solid knowledge of Python and C++ is
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PhD Scholarships in Digital Twinning Research Edinburgh Business School is readvertising two PhD scholarships as Graduate Teaching Assistant (GTA) positions for doctoral candidates interested in
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PhD Scholarships in Digital Twinning Research Edinburgh Business School is readvertising two PhD scholarships as Graduate Teaching Assistant (GTA) positions for doctoral candidates interested 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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to: Lead, carry out and publish internationally recognised research in areas at the interface of Group Theory, Geometry, and Topology; Supervise PhD students and actively pursue research funding through
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working at the intersection of AI, NLP, machine learning, and robotics, frequently tackling real-world challenges such as assistive technology, healthcare, and safe conversational interaction. You will join
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supervision and gain teaching experience in higher education. Essential & Desirable Criteria Essential PhD in electronic engineering, machine learning, applied mathematical sciences, or a closely related field
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about 20 people, consisting of postdoctoral and PhD researchers and faculty with expertise in NLP, NLG, Ethics in AI, Reasoning, Generative AI, Multimodal and Embodied AI, machine learning, and