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AI & Machine Learning (systems engineering) PhD Projects, Programs & Scholarships

We have 34 AI & Machine Learning (systems engineering) PhD Projects, Programs & Scholarships

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  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.
  Rail Innovators PhD Scholarship
  Prof D Creighton, Prof CP Lim
Applications accepted all year round

Funding Type

PhD Type

The Institute of Intelligent Systems Research and Innovation (IISRI) currently offers an industry-funded PhD scholarship to a student who is ready to enrol on a full-time basis for conducting cutting-edge research in the transport/rail sector at Deakin University, together with our industry partner, Downer EDI Rail.
  Funded PhD position in variable autonomy Human-Robot systems in extreme environments
  Dr M Chiou, Prof R Stolkin
Applications accepted all year round

Funding Type

PhD Type

Robotics systems used in time- and safety-critical domains (e.g. disaster response, nuclear decommissioning) are often remotely teleoperated, with little or no autonomy used to assist the human operator.
  Computer aided design methods for mammalian genome engineering
  Research Group: Institute of Quantitative Biology, Biochemistry and Biotechnology
  Dr G Stracquadanio, Dr F Menolascina
Application Deadline: 5 January 2020

Funding Type

PhD Type

Computer Aided Design (CAD) software assists engineers in designing systems in-silico, thus reducing the time-to-market of a product and increasing the overall productivity.
  Artificial Intelligence driven verification of aerospace Advanced Manufacturing parts - in partnership with BAE Systems Air
  Dr D Evans
Application Deadline: 30 December 2019

Funding Type

PhD Type

Additive manufacturing (AM) has been receiving significant interest from industry as it offers the attraction of lighter structures, greater part flexibility and increased complexity without the need for multiple manufacturing processes.
  Statistical machine learning for efficient and reliable estimation in computationally intensive systems
  Dr X Chen
Application Deadline: 8 December 2019

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.
  Artificial Intelligence Methods - Automated Defect Recognition of Ultrasonic Data in NDT
  Prof P Wilcox, Prof B Drinkwater
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for a research studentship in the field of Machine Learning / Artificial Intelligence (AI) in non-destructive evaluation (NDE) techniques leading to the award of an Engineering Doctorate (EngD) degree.
  A Neural Fuzzy Fusion Engine for Human-Machine Autonomous Systems
  Dr YK Wang
Applications accepted all year round

Funding Type

PhD Type

Abstract. This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS).
  Efficient Evolution for Intelligent Autonomous Systems
  Dr J Ringert, Dr I Tyukin
Application Deadline: 21 November 2019

Funding Type

PhD Type

Project reference. CSE Informatics Ringert 2020. Intelligent software is pervading the world around us. It is the driving enabler for innovations and products from autonomous vehicles, to enhanced health care, to efficient crisis response, to simple things like recommending the right movie for inspiration.
  Monitoring blood glucose levels with imaging photoplethysmography
  Dr J Alastruey, Dr P Lamata, Dr J Dennis, Dr M Nilchian
Applications accepted all year round

Funding Type

PhD Type

This project is part of the joint King's College London - Imperial College London EPSRC Centre for Doctoral Training (CDT) in Smart Medical Imaging.
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