34 Mathematics PhD scholarships in South-Korea

University of Adelaide Research Scholarship - Geometry and topology of smooth 4-manifolds

The University of Adelaide Research Scholarship is established by the University of Adelaide to support full-time PhD students who are commencing research in pure mathematics in the area of 4

PhD Studentship: A novel dynamical systems view of wall-bounded turbulence

of Mechanical Engineering’s Thermofluids Group at the University of Sheffield for a fully-funded PhD on mathematical modelling and control of turbulent flows. Working under the supervision of Dr Elena Marensi

PhD Studentship - Saving Energy by an Optimised Design of Entrance Pipe Flow

The project combines state-of-the-art advanced mathematical tools and numerical simulations to better understand, predict and control pipeline flows for greener transportation and energy. Working

PhD Studentship - Agent-Based Modelling of Future Clean Energy Systems

analysis to support quantitative decision making. The candidate will require a 1st or 2:1 degree in Engineering, Physics, Mathematics or similar discipline with strong mathematical skills. You will join the

PhD Studentship - Deep Learning based Controllable Animation

; solid mathematical background and programming skills; preferably, prior experience with publications in computer vision, machine learning and deep learning. The English language requirements must also be

PhD Studentship - AI-driven Geographic Data Integration

undergraduate honours degree or Master’s degree with Merit in a relevant discipline (such as Computer Science, Mathematics or others related to the PhD topic). If English is not your first language, you must have

PhD Studentship in: Understanding risks from emerging contaminants (PFAS) to surface water resources

Science, Mathematics, Computer Science or a related subject. • Enthusiasm for research and collaboration with industry • Good level of written and oral communication skills, as appropriate for disseminating

PhD Studentship in: Defining the Outfall Mixing Zone

criteria for the position are: • A good honours degree (or equivalent experience) in Engineering, Physical Science, Mathematics, Computer Science or a related subject. • Enthusiasm for research, and in

PhD Studentship: Enhancing Adaptive Control System Performance Using Advanced Machine Learning Techniques

control methods. Rigorous theoretical and statistical analysis will be carried out to prove the effectiveness of these proposed techniques. Hence, a strong foundation in mathematical and control theory is

PhD Studentship - Causal Representation Learning in Computer Vision

postgraduate masters’ qualification (MSc) in a science and technology field: Computer Science, Engineering, Mathematics, with specialisation in Computer Vision, Machine Learning and AI If English is not your