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-conversion, and quasi-phase matching. 4. Technical proficiency in numerical modeling and analysis of optical waveguides, photonic structures, and nonlinear optical processes; design and optimization of van der
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for existing commercial products. The work will involve numerical investigation of two-phase flows over louvre panels and experimental verification as well as optimal design by using neural network techniques
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scheme grants bonuses of numerous values for excellent work We are committed to staff development through the provision of training, continued support, and career progression opportunities You will have
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programming, distributionally robust optimization, optimal transport, or reinforcement learning is highly desirable; • Programming skills in Python are desirable, especially experience with numerical
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in nano-Darcy shale rocks and propped fractures, with analytical and numerical modeling to interpret multiphase transport and evaluate optimal drawdown strategies for improved production. In
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student mentoring Job Requirements: A PhD degree in Mathematics or related areas, with focus on numerical analysis or machine learning. Experience in computational math. Proficient in coding languages
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will work on cutting-edge projects related to coastal and ocean wave modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can
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with demonstrated ability to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph
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information, first-principles calculations (DFT), or many-body numerical methods are particularly encouraged to apply.
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control-system development. • Experience in multi-agent systems, autonomous systems, marine robotics, or coordinated control is advantageous. • Familiarity with numerical simulation and integration