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from different fields: AI (machine learning, big database, etc) Semiconductors
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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teaching across undergraduate and postgraduate programmes, support student learning, and play an active role in the wider academic life of the School. This role is ideal for someone passionate about teaching
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, engaging students and supporting their academic development. What will you be doing? In this role, you will: Teach undergraduate students through lectures, seminars, tutorials and computer lab sessions. Act
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Science, Computer Engineering, Electronic Engineering (or related disciplines). A strong record of research quality, commensurate with career stage in AI, including but not limited to: machine learning, deep learning
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support at undergraduate level, helping to deliver an excellent learning experience and actively participating in the wider life of the School. This role is ideal for someone who is passionate about
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, convolutional and recurrent architectures, and transformer-based models, as applicable to biological, imaging, and multimodal data Hands-on experience with machine learning and deep learning frameworks (e.g
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, networks and communication systems, theory of computation, computing paradigms, AI and machine learning, numerical computing, and applied computing. In particular, beyond surveying individual fields and
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We are looking for suitably qualified, experienced and enthusiastic Business Studies lecturers to join the academic team at The Education Group London (TEG) to teach on a range of undergraduate