University College London Featured PhD Programmes
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AI & Machine Learning (group) PhD Projects, Programs & Scholarships

We have 35 AI & Machine Learning (group) PhD Projects, Programs & Scholarships

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  PhD Studentship in Abstract Forward Models for Modern Games
  Dr D Perez-Liebana
Application Deadline: 31 January 2020

Funding Type

PhD Type

Applications are invited for a full PhD Scholarship starting in April 2020 (or as soon as possible thereafter) to undertake research in the areas defined in the EPSRC project “Abstract Forward Models for Modern Games”.
  PhD opportunity in Resilient and Sustainable Infrastructure Systems Design and Analysis
  Dr M-A Cardin
Applications accepted all year round

Funding Type

PhD Type

I am always looking for excellent candidates to pursue PhD studies in my research group, focusing on the theme of Resilient and Sustainable Infrastructure Systems Design and Analysis at the Dyson School of Design Engineering, Imperial College London.
  PhD Studentship in Machine Learning and IoT
  Dr M Jaber
Application Deadline: 14 February 2020

Funding Type

PhD Type

Applications are invited for a full PhD Scholarship starting April 2020 (or as soon as possible thereafter) to undertake research in the area of Machine learning and IoT in the context of Smart Cities.
  Artificial intelligence and machine learning for clinical prediction: Evaluating design, conduct, reporting and 'spin' #NDORMS-2020/3
  Prof G Collins, Dr M Schlussel, Dr P Dhiman, Dr J de Beyer
Application Deadline: 10 January 2020

Funding Type

PhD Type

1. Professor Gary Collins. 2. Dr Michael Schlussel. 3. Dr Paula Dhiman. 4. Dr Jennifer de Beyer. Artificial intelligence (AI) and machine learning (ML) are increasingly seen as solutions to many healthcare problems (e.g., for risk prediction, imaging), and the pace of development is showing no signs abating.
  MRC DiMeN Doctoral Training Partnership: DUB-ing chronic inflammation: a drug repurposing approach to target deubiquitinases in inflammatory disease
  Dr H Ismail, Prof S Renshaw, Dr L Guo
Application Deadline: 6 January 2020

Funding Type

PhD Type

Background. Inflammation is an essential defence mechanism adapted by our bodies to eliminate damaged cells, irritants and pathogens.
  PhD Position: Deep Reinforcement Learning for Computer Vision
  Research Group: Data Science
  Mr J Han, Prof G Montana
Applications accepted all year round

Funding Type

PhD Type

PROJECT OVERVIEW. Nowadays, machine learning, deep neural networks in particular, quickly become a viable means for solving real-life computer vision problems such as object detection, semantic segmentation, object recognition and tracking.
  Machine Learning regulation at the 3’ UTR
  Dr C Miller
Application Deadline: 3 January 2020

Funding Type

PhD Type

The 3’ Untranslated Region (UTR) of a transcript presents a complex set of binding sites that are used to regulate both transcript stability and downstream protein translation.
  Using ANN Technology to Determine Acceptable Microclimate Parameters for Heritage Preservation
  Research Group: Institute for Sustainable Building Design
  Dr F Wang
Application Deadline: 22 November 2019

Funding Type

PhD Type

Applications are invited for a 3.5-year ETP PhD studentship to conduct an experimental study using both Artificial Neural Network (ANN) modelling and mock-up testing.
  Multi-model-based Data Fusion for exoskeleton system with Brain-Computer Interface
  Research Group: Applied Computing
  Dr Q Zhang
Applications accepted all year round

Funding Type

PhD Type

Wearable health device such as exoskeleton becomes a popular research topic with huge marketing potentials. The wearable health device can be widely for monitoring the health condition or as a tool for rehabilitation engineering.
  Molecular Modeling for Design of Biochar Materials
  Dr V Erastova
Application Deadline: 9 January 2020

Funding Type

PhD Type

The project brings molecular modeling into biochar research, providing atomistic details to the key properties of biochar, and through this enabling the informed design and optimization of biochar for desirable functionality.
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