PhD Studentship: Space Trajectory Classification using Machine Learning

PhD Supervisor: Dr Alexander WittigSupervisory Team: Dr Alexander Wittig, Dr Davide Amato (external, from Imperial)Project description:Interest in more complex dynamics of space trajectories beyond perturbed Keplerian dynamics is rapidly growing. In cislunar space Moon, Earth, and spacecraft form a three-body problem already exhibiting a rich set of...

Project title: PhD Studentship in Nanophotonics and Metamaterials: Development of Switchable and Programmable Metasurfaces using Novel Materials Supervisory Team: Prof. Otto Muskens; Dr Ioannis ZeimpekisProject description:Metaoptics, the application of metasurface concepts in optical systems, is a rapidly growing field that has the potential to...

Project title: PhD Studentship in Nanophotonics and Metamaterials: Development of Switchable and Programmable Metasurfaces using Novel Materials   Supervisory Team: Prof. Otto Muskens; Dr Ioannis Zeimpekis Project description: Metaoptics, the application of metasurface concepts in optical systems, is a rapidly growing field that has the potential to...

PhD Supervisor: Dr Srinandan Dasmahapatra Supervisory Team: Dr Srinandan Dasmahapatra Project description: The University of Southampton is expanding its PhD research in the area of Quantum Technology Engineering. In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills. Recent...

PhD Supervisor: Dr Srinandan DasmahapatraSupervisory Team: Dr Srinandan DasmahapatraProject description: The University of Southampton is expanding its PhD research in the area of Quantum Technology Engineering. In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills.Recent...

Supervisory Team: Benjamin CameronProject descriptionThis PhD is focussed on a new theoretical/computational method to measure material properties in places where they are really difficult to measure: e.g. in a shock wave, in a shear band, or at a crack tip. These are all of critical importance in many engineering problems such as car crashes, manufacturing...

Supervisory Team: Dr N.C. Townsend, Prof D.A. Hudson and Dr J.A. Bowker (industrial)Project descriptionShip model testing is expensive and time consuming. Can we derive hydrodynamic seakeeping and manoeuvring characteristics with focused datasets, eliminating time consuming single variable investigations?In this PhD program you will develop and test novel...

Supervisory Team: Dr N.C. Townsend, Prof D.A. Hudson and Dr J.A. Bowker (industrial)Project descriptionWave energy can be used to improve the performance of ships and boats. By exploiting hydrodynamically the available wave energy, the motions, emissions, and powering requirements of ships operating in adverse weather conditions can be significantly...

Supervisory Team: Neil SandhamPhD Supervisor: Neil SandhamProject description:You will join a group of PhD students and post-doctoral researchers using high performance computing to advance understanding of high-speed aerodynamics, relevant to next generation supersonic and hypersonic flight vehicles.Intakes for high-speed vehicles are required to slow down...

Supervisory team: Neil SandhamProject descriptionYou will join a group of PhD students and post-doctoral researchers using high performance computing to advance understanding of high speed aerodynamics. Over the past decade we have developed efficient open-source software that enables us to run large numerical simulations with billions grid points on mixed...

Project title: Next Generation Machine Learning for Data Analysis Supervisory Team: Dr. Andersen AngProject description:We are seeking highly qualified candidates for doctoral positions on the research of Machine Learning (ML). We are looking for a MSc in applied mathematics, computer science, operations research, statistics, engineering, mathematics, or a...

Project title: Next Generation Machine Learning for Data Analysis   Supervisory Team: Dr. Andersen Ang Project description: We are seeking highly qualified candidates for doctoral positions on the research of Machine Learning (ML). We are looking for a MSc in applied mathematics, computer science, operations research, statistics, engineering, mathematics,...

Supervisory Team: Chris-Kriton Skylaris (90%) Andrea Russell (10%)Project description:Proton-exchange Membrane (PEM) hydrogen fuel cells are an emerging technology for environmentally sustainable transport and other carbon-neutral energy applications. A crucial component of these devices are the metallic catalyst nanoparticles which allow the chemical...

Supervisory Team: Dr Christine Evers Project Description: Are you keen on conducting research at the intersection of artificial intelligence, deep learning and robot perception? We are recruiting a fully-funded (UK fees) PhD student who will work amongst a team of researchers on an exciting, EPSRC-funded research programme on "Active Audition for Robots...

Supervisory Team: Dr Christine Evers  Project Description:  Are you keen on conducting research at the intersection of artificial intelligence, deep learning and robot perception? We are recruiting a fully-funded (UK fees) PhD student who will work amongst a team of researchers on an exciting, EPSRC-funded research programme on “Active Audition for...

PhD Supervisor: Dr Seung Lee Supervisory Team: Dr Seung Lee (School of Chemistry), Prof. Jeremy Webb (School of Biological Sciences and national Biofilms Innovation Centre), Prof. Paul Stoodley (University of Southampton and Ohio State University)Project description:A fully-funded 4 year PhD studentship (Institute for Life Sciences studentship) for research...

Supervisory Team: Chris-Kriton Skylaris (90%) Andrea Russell (10%) Project description: Proton-exchange Membrane (PEM) hydrogen fuel cells are an emerging technology for environmentally sustainable transport and other carbon-neutral energy applications. A crucial component of these devices are the metallic catalyst nanoparticles which allow the chemical...

PhD Supervisor: Antonia Marcu Supervisory Team: Antonia Marcu, Jonathon Hare Project description: Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left to solve in DL. One such challenge is “simplicity bias’’, which is a model’s bias towards learning simplistic rules even at the cost of performance. As a...

PhD Supervisor: Antonia MarcuSupervisory Team: Antonia Marcu, Jonathon HareProject description:Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left to solve in DL. One such challenge is "simplicity bias'', which is a model's bias towards learning simplistic rules even at the cost of performance. As a result,...

Supervisory Team: Ioannis ZeimpekisProject description:Revolutionising the semiconductor industry with next generation 2D materials and devices.Moore's Law is currently being challenged with Nvidia CEO recently claiming it is over. The scaling of transistors cannot continue due to physical limitations of silicon posing a threat to the sustainable evolution...