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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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to provide PhD students with an in depth understanding of the fundamental theories and learning methods, as well as advanced issues of neural networks and deep learning. Students will gain an in depth
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Engineering, or Quantum Technology, with a focus on experimental quantum optics or quantum communication systems. Strong foundation in QKD theory and protocols, particularly Discrete Variable (DV-QKD
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, theories, and disciplines, including literary and cultural trends in Asia and global and transnational studies. The Research Assistant will assist with literary research, the building of a digital humanities
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efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, etc. These positions would be especially relevant for those with a
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, Physics, or any related field Strong background in machine learning, PINNs and control theory Excellent verbal and written communication skills Proficiency in programming languages in Python and/or C/C++. A
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field Strong background in control theory, optimisation-based algorithms and/or machine learning Excellent verbal and written communication skills Proficiency in programming languages in Python and/or C/C
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British Art History. The Part-time Lecturer is expected to teach undergraduate courses with an emphasis on British Art, Theory and Criticism, commencing in January 2026. The instructor will be responsible
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for analysis. Support data analysis, including descriptive statistics, generation of graphs, tables, maps and other innovative figures to visualize health data. Contribute to key publications, including
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apply approximation methods for interpolating electronic/phononic/thermodynamic properties of disordered crystal materials. Design and implement high-throughput density functional theory (DFT) workflows