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AI & Machine Learning (action research) PhD Projects, Programs & Scholarships

We have 6 AI & Machine Learning (action research) PhD Projects, Programs & Scholarships

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  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.
  Development and Implementation of Efficient Adaptive Designs in Early Phase Oncology Trials for Novel Agents
  Prof C Yap, Prof J Bliss
Application Deadline: 17 November 2019

Funding Type

PhD Type

The Institute of Cancer Research, London, is one of the world’s most influential cancer research institutes. We are committed to attracting and developing the best minds in the world to join us in our mission—to make the discoveries that defeat cancer.
  Smart cyber-physical systems for multimodal human-robot collaboration
  Dr U Martinez Hernandez
Application Deadline: 2 February 2020

Funding Type

PhD Type

Robotics interacting and collaborating seamlessly with humans is a notion that has captivated the society and industry for decades.
  Human Interaction Recognition from Video Streams
  Dr A Bors
Applications accepted all year round

Funding Type

PhD Type

Research areas. Computer Vision and Image Processing; Machine learning; Neural networks. Recognition of human actions from video has many applications including.
  Can understanding people’s mental models of cybersecurity improve security behaviour?
  Prof Adam Joinson, Dr Joanne Hinds
Application Deadline: 20 January 2020

Funding Type

PhD Type

The University of Bath is inviting applications for the following PhD project based in the School of Management under the supervision of Professor Adam Joinson (https://researchportal.bath.ac.uk/en/persons/adam-joinson) and Dr Joanne Hinds (https://researchportal.bath.ac.uk/en/persons/joanne-hinds).
  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.
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