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Field
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, that can be realised using cloud compute infrastructure and other novel deployment architectures. Given our team's existing research skillset in novel machine learning approaches, we are recruiting a
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the following areas: Quantum algorithms Quantum stochastic processes and quantum combs Machine learning and statistical learning theory Reinforcement learning Differential privacy Model reduction and
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lab experiments Publish results in top-tier journals in related fields Assist in mentoring PhD students Job Requirements: PhD degree in mathematics, systems engineering, or machine learning Expertise in
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of Machine Learning-based predictive methods. Desirable requirements Familiarity with AI/machine learning techniques for optimisation and surrogate modelling. Experience of working in multi-partner or industry
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. 5. Familiarity with scientific machine learning and data-driven modelling.
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Intelligence & Machine Learning Develop machine learning and AI models to identify, predict and characterise genome instability patterns. Design generative and predictive computational models to infer mutational
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will focus on efficient probabilistic analysis of high-dimensional and dynamic systems, including advanced sampling, surrogate modelling, and AI or machine-learning methods where appropriate. Key
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shipping management efficiency. Propose solutions to Maritime industry practical challenges using mathematical modelling approaches, including traditional operations research modelling, learning-based models
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artificial intelligence and machine learning. The postdoctoral fellow will contribute to the development of a comprehensive, multi-modal framework for predicting and managing cardiovascular disease by
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, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced control theory (e.g., model-predictive control, etc