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AI & Machine Learning PhD Projects, Programs & Scholarships

We have 184 AI & Machine Learning PhD Projects, Programs & Scholarships

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  Optimisation Under Uncertainty Using Machine Learning & Data-Driven Methods
  Dr V Charitopoulos
Application Deadline: 31 March 2020

Funding Type

PhD Type

VACANCY INFORMATION. The UCL department of Chemical Engineering is one of the top research and teaching departments in the UK and has world-class standing.
  PhD Scholarships at the UKRI Centre for Doctoral Training in Foundational Artificial Intelligence

Funding Type

PhD Type

Our Foundational AI CDT addresses the national need for AI workers by training researchers capable of advancing core AI algorithms.
  PhD Studentships in Quantum Computation, Complexity and Simulation at UCL

Funding Type

PhD Type

The UCL department of computer science, department of physics, and London Centre for Nanotechnology offers 3 PhD studentships in quantum computation, complexity and simulation.
  Designing nanomachines using computer simulations and artificial intelligence
  Dr A Saric
Applications accepted all year round

Funding Type

PhD Type

We are looking for highly motivated students to join our interdisciplinary team for an exciting project at the interface of physics, computer science, and biology.
  A 3-year PhD studentship in deep-learning assisted design of active hyperuniform materials
  Dr G Volpe
Application Deadline: 20 July 2020

Funding Type

PhD Type

This position is fully funded by the UCL-A*STAR Collaborative Programme via the Centre for Doctoral Training in Molecular Modelling and Materials Science (M3S CDT) at UCL.
  BIM Model enrichment for Energy Performance Simulation
  Dr D Rovas
Applications accepted all year round

Funding Type

PhD Type

To devise, implement and test a method for enriching as-is building geometric data with energy performance data. The ESR will.
  Characterising network changes during epileptic seizures in paediatric epilepsy surgery patients
  Dr R Rosch, Prof KJ Friston, Dr M Tisdall, Dr R Thornton
Applications accepted all year round

Funding Type

PhD Type

The Project. Epilepsy is one of the most common primary neurological conditions, with a particularly high incidence in early childhood.
  Reliable Machine Learning: Adversarial Learning and Applications in Computational Sustainability
  Dr J Wicker
Applications accepted all year round

Funding Type

PhD Type

The School of Computer Science at the University of Auckland is looking for applications for PhD students under the supervision of Dr Joerg Wicker.
  Using mixed-omics to understand multimorbidities in polygenic disorders
  Dr T Vatanen, Dr J O'Sullivan
Application Deadline: 1 June 2020

Funding Type

PhD Type

Two PhD positions are available to use mixed omics, genetic variation, and electronic records to study multimorbidity in polygenic non-communicable diseases with Dr Justin O’Sullivan.
  Artificial Intelligence Tactical Decision Aid for Management of Naval Sensors and Autonomous Vehicles
  Dr A Hunter, Mr M Donnelly
Application Deadline: 6 April 2020

Funding Type

PhD Type

In naval tactical operations, it is necessary to optimally deploy and position a finite number of vehicles (manned and autonomous) in order to maximise the combined detection coverage of their sonar sensing systems over a geographical area of interest.
  Ecological rationality of choices between gambles
  Dr O Şimşek
Application Deadline: 6 April 2020

Funding Type

PhD Type

What is optimal choice under uncertainty? This is a fundamental question in artificial intelligence, as well as in economics and in psychology.
  Unsupervised outlier detection for high-dimensional data
  Dr O Isupova
Application Deadline: 6 April 2020

Funding Type

PhD Type

Recent advances in machine learning have already achieved superhuman performance in a wide range of applications. This success of machine learning relies on availability of large training labelled datasets.
  Exploring the mechanobiology of cell-nanoparticle interactions using systems approaches
  Dr J Sero
Application Deadline: 8 March 2020

Funding Type

PhD Type

The University of Bath is inviting applications for the following PhD project based in the Department of Biology & Biochemistry under the supervision of Dr Julia Sero.
  Computational Discovery of Conduction Mechanisms in Lithium-Ion Solid Electrolytes
  Dr B Morgan
Application Deadline: 26 February 2020

Funding Type

PhD Type

A fully-funded 4-year PhD studentship in theoretical / computational chemistry is available in the Department of Chemistry at the University of Bath.
  Deep View Synthesis for VR Video
  Dr C Richardt
Application Deadline: 8 March 2020

Funding Type

PhD Type

To feel truly immersed in virtual reality, one needs to be able to freely look around within a virtual environment and see it from the viewpoints of one’s own eyes.
  Statistical machine learning for efficient and reliable estimation in computationally intensive systems
  Dr X Chen
Application Deadline: 8 March 2020

Funding Type

PhD Type

A computationally intensive Industrial process is sometimes considered and modelled as a black-box system, for which one can only observe/analyse system’ inputs and outputs but with very limited knowledge of its internal mechanism.
  Adaptive undersampling for spectro-microscopy: exploring new mathematical properties and enhancing performance
  Dr S Gazzola, Dr S Dolgov
Application Deadline: 15 March 2020

Funding Type

PhD Type

Spectro-microscopy is a powerful technique that can be used to obtain information about the spatial distribution of chemical states in a sample by combining imaging and X-ray absorption spectroscopy.
  Big data approach to systematically investigate adverse drug reactions in older people
  Dr P Nishtala
Application Deadline: 8 March 2020

Funding Type

PhD Type

The University of Bath is inviting applications for a PhD position under the supervision of Dr Prasad Nishtala https://researchportal.bath.ac.uk/en/persons/prasad-nishtala and Professor Neil McHugh https://researchportal.bath.ac.uk/en/persons/neil-mchugh.
  The role of mergers in fuelling Active Galactic Nuclei
  Dr C Villforth
Application Deadline: 1 March 2020

Funding Type

PhD Type

As part of the European Commission Innovative Training Network (ITN) BiD4BEST, the University of Bath is inviting applications for an early-stage researcher position working on the role of mergers and instabilities in the fuelling of supermassive black holes under the supervision of Dr Carolin Villforth https://researchportal.bath.ac.uk/en/persons/carolin-villforth.
  Big data and machine learning for sustainable synthesis
  Dr M Grayson
Application Deadline: 23 February 2020

Funding Type

PhD Type

The Centre for Sustainable Chemical Technologies (CSCT) at the University of Bath has launched a joint PhD programme with Monash University, Australia.
  Adaptivity and machine learning techniques for PDE problems with uncertain inputs
  Dr A Bespalov
Applications accepted all year round

Funding Type

PhD Type

PhD Studentship in Numerical Analysis and Scientific Computing. The project concerns numerical solution of partial differential equations (PDEs) with parametric uncertainty in input data.
  Machine Learning for Advanced Automotive Analytics
  Research Group: Advanced Automotive Analytics Research Institute
  Prof D Neagu, Prof F Campean
Applications accepted all year round

Funding Type

PhD Type

The University of Bradford’s Advanced Automotive Analytics (AAA) research laboratory is an interdisciplinary research unit building on research expertise and track record of the Automotive Research Centre and the Artificial Intelligence Research Group, particularly in automotive reliability and systems engineering modelling, big data and machine learning.
  Reliability Modelling of Complex Autonomous Systems
  Research Group: Advanced Automotive Analytics Research Institute
  Prof F Campean, Prof D Neagu, Dr S Kabir
Applications accepted all year round

Funding Type

PhD Type

Smart engineered systems that make decisions and take actions autonomously are becoming commonplace in many applications, such as self-driving cars and drones.
  Data-driven and Model-based Design and Computational Analysis of Systems and Synthetic Biology
  Research Group: Applied Computing
  Dr S Konur, Prof M Gheorghe, Dr R Hamed
Applications accepted all year round

Funding Type

PhD Type

Understanding how biological cells and organisms function is a very challenging task, as biological systems are getting more complex.
  Machine learning for Autonomous and Interconnected Vehicles
  Research Group: Applied Computing
  Dr ARA Abdullatif, Dr S Kabir, Dr I Ghafir
Applications accepted all year round

Funding Type

PhD Type

Cyber-Physical Mechatronic Systems such as autonomous vehicles, and intelligent transportation rely heavily on machine learning techniques for ever-increasing levels of autonomy.
  Multi-agent systems for plug-and-produce manufacturing control
  Research Group: Applied Computing
  Dr D Scrimieri
Applications accepted all year round

Funding Type

PhD Type

This project aims to develop novel methods and software tools for the implementation of highly adaptive multi-agent systems for manufacturing control, using plug-and-produce technology.
  Probabilistic stability analysis and optimisation for smart power systems using stochastic distribution shaping
  Research Group: Applied Computing
  Dr Q Zhang
Applications accepted all year round

Funding Type

PhD Type

Future power systems will be significantly different from their present states. The main factor we have to consider is the uncertainties.
  Reliability analysis, fault diagnosis and optimization in dynamic small data environment using explainable AI
  Research Group: Applied Computing
  Dr Q Zhang
Applications accepted all year round

Funding Type

PhD Type

The smart system consists of the man-made machine and the intelligent decision making. Mostly, the machine will be designed with automation purpose and the decision making can be achieved based on big data training and AI technology.
  Security-Aware Safety Monitoring of IoT-enabled Smart Environment
  Research Group: Applied Computing
  Dr S Kabir
Applications accepted all year round

Funding Type

PhD Type

Internet of Things (IoT) is a promising networking paradigm that integrates physical processes with the cyber world to provide useful services.
  Supply chain Robotic Process Automation through Machine Learning
  Research Group: Applied Computing
  Dr ARA Abdullatif, Dr S Kabir, Dr I Ghafir
Applications accepted all year round

Funding Type

PhD Type

In Supply Chain optimization, understanding which item is worth keeping in stock, considering several factors ranging from continuous features, like demand pattern clustered in different time buckets, to categorical features like supplier name, and internal tagging like obsolete or special certification needed, is a key task for the planner.
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