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Loughborough University Computer Science & IT PhD Projects, Programs & Scholarships

We have 14 Loughborough University Computer Science & IT PhD Projects, Programs & Scholarships

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Showing 1 to 14 of 14
  Continual/Lifelong Deep Learning (CO/CG-Un7/2020)
  Dr G Cosma
Application Deadline: 1 November 2020

Funding Type

PhD Type

Training deep neural networks to learn a very accurate mapping from inputs (such as image data, sensor data, text) to outputs (e.g.
  Deep Feature Selection of Multi-Modal Data (CO/CG/-Un5/2020)
  Dr G Cosma
Application Deadline: 2 August 2020

Funding Type

PhD Type

Feature selection aims to eliminate redundant and irrelevant features via different criteria. The most commonly used criteria measure the relevance of each feature to the desired output, and use this information to select the most important features.
  Deep learning methods for noisy and unbalanced data (CO/CG/-Un6/2020)
  Dr G Cosma
Application Deadline: 1 November 2020

Funding Type

PhD Type

It is a challenging task to train deep learning models on unbalanced data which is commonly generated in real-time scenarios. It is also a big challenge training Deep Learning algorithms on limited data.
  Development of deep learning algorithms for accurate gaze estimation
  Dr H Cai
Application Deadline: 31 May 2020

Funding Type

PhD Type

Gaze estimation aims to obtain the direction where you are looking at. It has been actively studied in the past three decades due to its importance in various fields, e.g.
  Energy prediction in buildings using Artificial Intelligence
  Dr G Cosma
Application Deadline: 17 April 2020

Funding Type

PhD Type

Application details. Reference number. CO/GC-CDT-2/2020. Start date of studentship. 1 July 2020. Closing date of advert. 17 April 2020.
  Explainable Machine Learning for Software Performance
  Dr T Chen
Application Deadline: 4 May 2020

Funding Type

PhD Type

Performance is one of the most important properties in software engineering, yet, it is also difficult to predict as it can be nonlinearly affected by various aspects of the software, including the code, configuration and architecture.
  Closing the Energy Gap: Fully-funded, four-year studentship
  Dr D Allinson
Application Deadline: 19 April 2020

Funding Type

PhD Type

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field.
  PREDICTOR: Improving the energy performance of closed-loop heating and cooling systems
  Dr M Eftekhari, Dr T Dijkstra
Application Deadline: 26 April 2020

Funding Type

PhD Type

Application details. Reference number. ABCE19/ME. Start date of studentship. by 1 October 2020. Closing date of advert. 26 April 2020.
  Deep Learning algorithms, reasoning and interpretation
  Dr G Cosma
Application Deadline: 1 September 2020

Funding Type

PhD Type

Deep learning is a subset of machine learning in artificial intelligence (AI) that is capable of learning from data.
  Designing Efficient Distributed Graph Algorithms
  Dr A Trehan
Application Deadline: 1 October 2020

Funding Type

PhD Type

This project seeks to design and mathematically analyse distributed graph algorithms. Distributed graph algorithms allow us to model, explore and design solutions for all kinds of networks (computers/human/social).
  Mitigating cyber threats from the edge
  Dr P Tso
Applications accepted all year round

Funding Type

PhD Type

Reference. CO/PT-Un1/2019. School. School of Science. Location. Loughborough. UK/EU Fee band. Research Band 2 Laboratory Based (£TBC).
  Multi-modal Data fusion using Deep Learning
  Dr G Cosma
Applications accepted all year round

Funding Type

PhD Type

Deep learning is a subset of machine learning in artificial intelligence (AI) that is capable of learning from data.
  Source-code similarity detection using deep learning
  Dr G Cosma
Application Deadline: 1 September 2020

Funding Type

PhD Type

Deep learning is a subset of machine learning in artificial intelligence (AI) that is capable of learning from data.
  Prediction of microscale geometry and performance of 3D-printed medical implants (AGUF2019)
  Dr A Gleadall
Application Deadline: 31 August 2020

Funding Type

PhD Type

Cutting-edge medical implants for bone fracture repair are manufactured from biodegradable polymers because, unlike permanent devices, they are fully absorbed by the body over several months and do not need surgical removal after healing.
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