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University of Southampton Computer Science & IT PhD Projects, Programs & Scholarships
We have 13 University of Southampton Computer Science & IT PhD Projects, Programs & Scholarships
We have 13 University of Southampton Computer Science & IT PhD Projects, Programs & Scholarships
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Building-resolved large-eddy simulations of wind and dispersion over a city scale urban area
Supervisory Team. Zhengtong Xie, Lois Huggett @metoffice. Project description. Read more
Reducing Carbon Emissions in Shipping: An Agent-Based Approach
Supervisory Team. Enrico Gerding, Sarvapali Ramchurn, Dominic Hudson. Project description. This truly interdisciplinary project on carbon emission reduction combines techniques from artificial intelligence, game theory, transportation, shipping and optimisation. Read more
Data driven modelling of supply chain constraints in maritime transport
Supervisory Team. Adam Sobey (CMEE), Markus Brede (ECS) and Amy Parkes (Industry). Project description. Recent incidents, such as the blocking of the Suez Canal or lack of workers at Chinese ports due to COVID, demonstrate the importance of maritime trade. Read more
UKRI Centre for Doctoral Training in Machine Intelligence for Nano-electronic Devices and Systems (MINDS)
Are you fascinated by AI? Do you want to influence the future direction of computing systems to benefit people across the globe? A prestigious *MINDS PhD from the world-renowned School of Electronics and Computer Science (ECS) and Zepler Institute at the University of Southampton could be the route to the opportunities you are looking for. Read more
Last chance to apply
Experimental studies on perturbed and distorted turbulent boundary layers
Supervisory Team. Bharathram Ganapathisubramani. Project description. Perturbation and distortion from different sources influence the development of turbulent boundary layers significantly and alter their characteristics. Read more
Predicting unknown flow physics by integrating experimental measurements into low-fidelity simulations
Supervisory Team. Sean Symon and Bharath Ganapathisubramani. Project description. Numerical simulations of fluid flows play an important role in aerodynamic design since experimental measurements are typically limited and difficult to measure in all regions of the flow. Read more
Improving Subsea Navigation Using Environment Observations For Long Term Autonomy
Supervisory Team. Blair Thornton (Engineering). Christine Evers (Electronics and Computer Science). Adam Prügel-Bennett (Electronics and Computer Science). Read more
Optimal Design of Experiments for Discrete Choice Models
Discrete choice modelling is an important tool used by practitioners and researchers in many fields such as marketing, public policy, transportation research, and revenue management. Read more
Dynamic Pricing and Learning
Main research aims. This project is on dynamic pricing and learning. statistical learning combined with price optimization. The precise content will depend on a survey of key literature and the strengths and interest of the research team. Read more
Dynamical system approaches for solving variational inequalities
Variational inequalities (VIs) are a powerful mathematical model which unifies important concepts in applied mathematics like systems of nonlinear equations, necessary optimality conditions for optimisation problems, complementarity problems, obstacle problems, or network equilibrium problems. Read more
Efficient methods for solving clustering-with-hyperplane problems
Clustering is one of the central problems in machine learning. In its classical paradigm, the clustering problem asks for partitioning a given dataset into k clusters in such a way that the distance between each point and the centroid of the corresponding cluster is minimized. Read more
Matrix Optimization in Machine Learning
Optimization has become an essential part of modern machine learning and data analytics. Linear algebra and matrix analysis play an important role in developing fast, reliable and applicable machine learning algorithms in a wide range of disciplines. Read more
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