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PhD Computer Science in Imperial College London - United Kingdom

Imperial College London - United Kingdom

About Imperial College London

   Imperial College London is a publically-owned research institution in London and was founded in 1907. Imperial College London is legally described as the Imperial College of Science, Technology, and Medicine.
  Imperial College London concentrates entirely on science, technology, medicine, and business. The Imperial College London is the main center for medical teaching and research. Imperial College London forms an academic health science center combined with Imperial College Healthcare NHS Trust.
  Imperial College London is ranked 7th worldwide by the QS World University Rankings. Imperial College London provides research-led education and opportunities to study over multi-cultural, multi-national teams.
  Imperial College London has a community of world-class researchers to conduct leading-edge and globally influential research. Imperial College London-s research focus applied on addressing practical global challenges, which is conducive make effective research efforts with its high level of transdisciplinary collaboration.
  Being one of the most international universities worldwide, Imperial College delivers outstanding scholarship, education, and research in science, engineering, and medicine.

Address & Website of Imperial College London

Address:  Exhibition Rd, South Kensington, London SW7 2BX, United Kingdom

Phone:  +44 20 7589 5111

Email:  ns.admissions@imperial.ac.uk

Website:  https://www.imperial.ac.uk/

University Type:  Public university

Computer Science Courses Offered by Imperial College London

  

  • MEng - Computing
  • BEng - Computing
  • MEng - Computing (Artificial Intelligence and Machine Learning)
  • MEng - Computing (International Programme of Study)
  • MEng - Computing (Management and Finance)
  • MEng - Computing (Security and Reliability)
  • MEng - Computing (Software Engineering)
  • MEng - Computing (Visual Computing and Robotics)
  • BSc - Economics; Finance and Data Science
  • BEng - Electronic and Information Engineering
  • MEng - Electronic and Information Engineering
  • BEng - Mathematics and Computer Science
  • MSc - Advanced Computing
  • MSc - Applied Computational Science and Engineering
  • MSc - Applied Machine Learning
  • MSc - Artificial Intelligence
  • MRes - Artificial Intelligence and Machine Learning
  • MRes - Bioinformatics and Theoretical Systems Biology
  • MSc - Biomedical Engineering (Computational Bioengineering)
  • MSc - Computational Methods in Ecology and Evolution
  • MRes - Computational Methods in Ecology and Evolution
  • MSc - Computing
  • MSc - Computing (Artificial Intelligence and Machine Learning)
  • MSc - Computing (Management and Finance)
  • MSc - Computing (Security and Reliability)
  • MSc - Computing (Software Engineering)
  • MSc - Computing (Visual Computing and Robotics)
  • MSc - Environmental Data Science and Machine Learning
  • Ph.D. - Computing

  • Computer Science Research Areas - Imperial College London

      

     The Computer Science research scope at Imperial College London is dominant and its research themes for outstanding research innovations.

      •  Artificial Intelligence
      •  Data Science
      •  Programming Languages
      •  Security
      •  Software Engineering
      •  Systems
      •  Theory and Algorithms
      •  Analysis and Verification
      •  Visual Computing

    Research Topics in Computer Science Research - Imperial College London

     Research topics at Imperial College London in computer science research concerning research areas are listed below:

    Artificial Intelligence:

      •  Knowledge Representation & Reasoning
      •  Autonomous Agents
      •  Multi-Agent Systems
      •  Human-Machine Interactions & Collectives
      •  Cognition & Human Modeling
      •  Data Science
      •  Robotics
      •  Augmented Reality
      •  Graphics
      •  Computer Vision & Imaging
      •  Audio-Visual Signal Processing
      •  Natural Language Processing
      •  Affective Computing

    Programming Languages and Systems:

      •  Programming Language Semantics
      •  Type Systems
      •  Type Systems For Concurrent
      •  Distributed & Parallel Computing
      •  Semantics For Web Programming Languages
      •  Domain-Specific Code Generation & Optimization
      •  Runtime Systems & Operating System Support For Concurrency

    Software Engineering:

      •  Software Architectures
      •  Self-Managed Adaptive Software Systems
      •  Concurrency
      •  Logic-Based Symbolic Learning
      •  Probabilistic Analysis
      •  Pervasive Computing

    Systems:

      •  Big Data Analysis
      •  Biomedical Computation
      •  Climate Modelling
      •  Financial Simulation
      •  Cloud Computing
      •  Cyber-Physical Systems
      •  Cybersecurity
      •  Data Centres
      •  Embedded Systems
      •  High-Performance Computing
      •  Pervasive Systems
      •  Reconfigurable Computing

    Theory and Algorithms:

      •  Algorithm Design & Analysis
      •  Computation On Continuous Data Types
      •  Concurrency
      •  Optimization Algorithms
      •  Information Theory
      •  Blockchain & Cryptocurrencies
      •  Quantum Computing
      •  Stochastic Modelling
      •  Computational Psychiatry

    Analysis and Verification:

      •  Symbolic Testing
      •  Program Logics
      •  Type Theories
      •  Model Checking

    Visual Computing:

      •  Robust Face Alignment
      •  Tracking & Expression Recognition
      •  Biomedical Imaging Computing
      •  Robotics & Sensing
      •  Appearance Modelling For Realistic Computer Graphics

    Computer Science Research Labs with Specialization - Imperial College London

     Imperial College London conducts world-class research over the range of computer science areas and its computer science-related research labs and centers are listed below;

      •  Adaptive and Intelligent Robotics Lab
      •  Aerial Robotics Lab
      •  Barrer Centre
      •  Biomechanics Lab
      •  Biomechatronics Lab
      •  Brain and Behaviour Lab
      •  Carbon Capture and Storage Research Network
      •  Centre for Environmental Policy
      •  Centre for Neurotechnology
      •  Centre for Process Systems Engineering
      •  Centre for Processable Electronics
      •  Circuits and Systems
      •  Clean Fossil and Bioenergy Research Group
      •  Cognitive Robotics
      •  Computer vision and learning Lab
      •  Control and Power
      •  Department of Aeronautics
      •  Design Psychology
      •  DigiFAB - The Institute for Digital Molecular Design and Fabrication
      •  Digital Rocks Lab
      •  Dyson Robotics Lab
      •  Dyson School of Design Engineering
      •  Energy Futures Lab
      •  Engineering Medicines Lab
      •  Geometric Modelling and Manufacturing
      •  Grantham Institute – Climate Change and the Environment
      •  HARMS Lab
      •  Human Insights Group
      •  Human Robotics Group
      •  Insect Sensorimotor Control Lab
      •  Institute for Molecular Science and Engineering
      •  Intelligent Behaviour Understanding Group
      •  Intelligent Digital Systems (iDSL)
      •  International Centre for Advanced Materials
      •  KKH Research Group
      •  Kornyshev-s Theoretical Chemical Physics Group
      •  Manipulation and Touch Lab
      •  Mechatronics in Medicine
      •  Memphis Multiphase
      •  Morphological Computation and Learning Laboratory
      •  Movement Neuroscience and Neuroprosthetics Lab
      •  Neuromechanics Lab
      •  Personal Robotics Lab
      •  Pharmacat
      •  Photonics Group
      •  Qatar Carbonate and Carbon Storage Research Centre
      •  REDS Lab - Robotic Manipulation
      •  Robot Intelligence Lab
      •  Robot Learning Lab
      •  Robot Vision Group
      •  Sensory Neuroengineering
      •  SiMMS - Simulation and Modelling in Medicine and Surgery
      •  Smart Robotics Lab
      •  Software Performance Optimisation Group
      •  Speech and Audio Processing Group
      •  Sustainable Gas Institute
      •  SynFabFun
      •  The Hamlyn Centre
      •  The Sargent Centre for Process Systems Engineering
      •  Transient and Complex Multiphase Flows and Flow Assurance (TMF) consortium
      •  Transport Systems & Logistics Laboratory
      •  Two Dimensional Materials and Wearable Bioelectronics
      •  Verification of Autonomous Systems Group

    Scholarship Programs and Funded Projects for Computer Science - Imperial College London

      Various scholarship schemes have been developed at Imperial College London to assist students and researchers with their academic and research requirements. Such scholarship schemes are listed below.

  • EPSRC doctoral training studentships
  • Doctoral teaching scholarships
  • President-s and CSC scholarships
  • EPSRC CDT scholarships in smart medical imaging
  • UKRI CDT scholarships in safe and trusted artificial intelligence
  • PhD Studentships in User-Centred Systems Security/Privacy
  • PhD Studentships in Operating Systems Research DeepMind PhD scholarship
  • Foundations of Persistent Programming
  • Funded PhD Position in Latency-Critical Systems and In-Network Compute
  • Funded PhD position in Program Analysis, Verification or Systems
  • Hardware and OS Support for Future Smart Data Center Disaggregation
  • Hardware and Software Co-Design for Security and Virtualization Performance
  • I-X PhD Studentships in Artificial Intelligence/Machine Learning/Data Science/Digital technologies
  • InstaDeep Scholarship for Data-Efficient Multi-Objective Quality-Diversity optimisation
  • PhD iCASE Studentship in Machine Learning and Control for Cyber-Physical Systems working with IBM
  • Future Mobility Systems: design and societal impact
  • UKRI CDT studentships in AI for Healthcare
  • PhD Admission Procedure for Computer Science -Imperial College London

     PhD entry requirements at Imperial College London:

     •  Applicants must hold a Master-s degree in a relevant scientific or technical area of computer science or mathematics.
     •  Applicant must submit the English qualification test results at Standard level as English language requirements
     •  Applicants must attach the following documents:
      •  Research Statement
      •  CV
      •  Two reference letters