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AI & Machine Learning (computational physics) PhD Projects, Programs & Scholarships

We have 18 AI & Machine Learning (computational physics) PhD Projects, Programs & Scholarships

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  PhD position in Computational Sciences
  Prof C Alexandrou
Applications accepted all year round

Funding Type

PhD Type

PhD, with possibility of financial aiding at The Cyprus Institute (CyI). Supervisors. Prof. C. Alexandrou (CyI) [email protected]
  PhD Candidate in Computational (Electro)Catalysis
  Prof M García-Melchor
Applications accepted all year round

Funding Type

PhD Type

Applications from outstanding and highly motivated students are invited for a fully funded 4-year PhD position (€18,000 per annum + academic fees) in the Computational Catalysis and Energy Materials (CCEM) Group led by Dr.
  Computational investigation of cell-shape signalling feedback during normal and pathological angiogenesis
  Dr K Bentley
Application Deadline: 17 March 2020

Funding Type

PhD Type

This 4-year PhD studentship is offered in Dr Katie Bentley Group based at the Francis Crick Institute (the Crick). Our lab integrates computational and wetlab biology approaches to better understand the complex and often counter intuitive dynamics as endothelial cells coordinate and compete to grow new blood vessels.
  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.
  Computational materials engineering of interfaces in alloys
  Dr C Brandl
Applications accepted all year round

Funding Type

PhD Type

Research field. We are working in Computational Materials Science which is an interdisciplinary area. It’s a challenging mix of physics, materials science, engineering, mathematics, and computational science.
  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.
  Fully funded PhD Studentship: Computational / data science techniques to improve and integrate weather forecasting in business decision-making
  Prof M D Piggott
Application Deadline: 28 February 2020

Funding Type

PhD Type

Applications are invited for a four year full-time PhD studentship to work on a research project jointly with Imperial College London (the departments of Earth Science & Engineering, Physics and Mathematics and Shell (the Data Science Centre for Excellence).
  Predicting drug solubility in different solvents using molecular simulation and machine learning
  Dr M Jorge, Dr C Price
Applications accepted all year round

Funding Type

PhD Type

Predicting the solubility of complex drug-like molecules is crucial at several stages of the drug discovery and manufacture. In particular, solvent selection has been highlighted as a crucial step in process design and optimisation [1].
  Doctor of Engineering (Eng D): Process optimisation strategies for multiple COSI techniques
  Research Group: CDT in Applied Photonics
  Prof D Reid, Dr C Clemente, Prof S Marshall
Application Deadline: 28 February 2020

Funding Type

PhD Type

MBDA is expanding its research into Computational Optical Sensing and Imaging (COSI). One area of interest is Structured Imaging using, for example, Ladar (Laser Detecting and Ranging) to map a scene in real-time.
  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.
  Smart Local Energy Systems (SLES) (EPS2020/43)
  Dr D Flynn
Application Deadline: 28 February 2020

Funding Type

PhD Type

The future potential of critical energy infrastructure is the integration of smart local energy systems (SLES). SLES will be tailored to the needs of the community in order to optimise the cost, resilience and low carbon attributes the climate emergency demands.
  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

This is a collaborative project between the University of Bath and Diamond Light Source, the national synchrotron science facility located at the Harwell Science and Innovation Campus near Oxford https://www.diamond.ac.uk/Home.html.
  Design of Experiments for Network Science
  Dr B Parker
Applications accepted all year round

Funding Type

PhD Type

Design of Experiments (DOE) is a research area within statistics that allows scientists to maximise the amount of information derived from an experiment.
  Image segmentation
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

Image segmentation has many applications in biomedical and many other fields. It is essential for target detection and identification.
  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.
  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.
  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.
  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).
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