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complexity PhD Projects, Programmes & Scholarships
We have 152 complexity PhD Projects, Programmes & Scholarships
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Self-Organising Mobile Networks using Machine Learning
BT are at the forefront of the current 5G roll out in the UK. Through this, they have given us a glimpse of the many exciting applications that high speed and low latency communications will enable. Read more
Efficient low-complexity localization system for tracking objects
Research Group:
Communication and Networks
This project should present an efficient low-complexity localization system for tracking objects. A geometrically small omnidirectional dual-band array within a very small height that can be fit at the top of the car surface. Read more
EN & MN Lindsay Scholarship: Developing in silico approaches for compound optimisation in Drug Discovery: targeting polypharmacology using Artifical Intelligence
We invite applications for a fully funded four-year EN & MN Lindsay Endowed PhD studentship in developing in silico approaches for compound optimisation in drug discovery at the University of Dundee, United Kingdom. Read more
Computational efficiency and simplicity in predictive control for linear and non-linear systems
Predictive control (MPC) is by now a well-established methodology whereby one bases the design of the control law on the optimisation of system predictions. Read more
Logical approach to verification of hyperproperties
Linear-time temporal logic (LTL) is one of the most prominent logics for the specification and verification of reactive and concurrent systems. Read more
Professional learning and practice related dilemmas in vocational education
Across the world educators are addressing complex changes in society, the challenges of the climate emergency and the impact of the COVID-19 pandemic. Read more
Asymmetric Diene Transmissive Pericyclic Reactions of Dendralenes
Polycyclic structures are ubiquitous in the natural product arena and are the core structural units of many natural product-based pharmaceuticals. Read more
Future of global sustainability: A new perspective for post-COVID multicultural business
Covid-19 has changed the global landscape of businesses swiftly and many transport companies have started focussing mainly on moving basic commodities such as food, medicine, and clothing around the globe. Read more
Full waveform seismic processing for mineral exploration
The search for very deep deposits is becoming more and more important in mineral exploration. Due to the absence of surface indicators and the prohibitive cost of deep drilling, indirect methods, such as geophysical surveys, are essential in such context. Read more
Automated Configuration of Simulation Parameters
State of the art automotive propulsion system development uses a blend of physical experiments and high-fidelity simulation to provide a highly realistic environment to study system behavior. Read more
Automated Configuration of Simulation Parameters
State of the art automotive propulsion system development uses a blend of physical experiments and high-fidelity simulation to provide a highly realistic environment to study system behavior. Read more
Analysis and control of multi-agent systems using partial differential equations
A multi-agent system (MAS) refers to a group of interacting robots or, more generally, dynamical systems. Typical examples are robot swarms, traffic flows, smart grids, communication networks, and transportation systems. Read more
Machine Learning for Forecasting Dynamics of Geological Reservoir during CO2 or H2 Storage
According to International Energy Agency’s 2021 world energy outlook report, a substantial amount of energy will be needed from fossil fuels in all scenarios. Read more
A Framework for Machine Learning-aided Visualisation to support Collaborative Decision Making
In group decision making, a number of individuals collaboratively assess a competing set of alternatives to select the optimal solution for a problem. Read more
Accelerating molecular phylogenetic inference using high performance computing.
Molecular phylogenetic inference, constructing evolutionary histories from molecular data, is an activity universal to all biological disciplines. Read more