Trinity College is Ireland-s oldest university in Dublin, Ireland, founded in 1592. Trinity College is a large state-funded university, and its academics are organized into three faculties composed of 23 schools, delivering degree and diploma courses at both undergraduate and postgraduate levels.
Trinity College conducts comprehensive research in nanotechnology, information technology, immunology, mathematics, engineering, psychology, politics, and English. Trinity College Dublin provides several undergraduate, postgraduate, short courses and online education via its faculties, including the Faculty of Arts, Humanities and Social Science, Faculty of Engineering, Mathematics and Science, and Faculty of Health Science.
Trinity College Dublin inspires the next generation of citizens and leaders globally. Trinity College Dublin enhances a diversified, transdisciplinary, inclusive environment that supports revolutionary research, innovation, and creativity by appealing to problems of global significance.
Address:  College Green, Dublin 2, Ireland
Phone:  +353 1 896 1000
Email:  international@tcd.ie
Website:  https://www.tcd.ie/
University Type:   Public University
Undergraduate Courses:
• Computer Science
• Computer Science with a Language
• Computer Science with Business
• Computer Science with Data Science
• Computer Science with Web Technologies
Postgraduate Courses:
• Professional Master of Science in Computer Science
• MSc in Computer Science
• MSc in High Performance Computing
• MSc in Cybersecurity
• MSc in Computer Science and Business
• MSc in Machine Learning
• MSc in Software Engineering
• MSc in Human-Computer Interaction
Ph.D. Courses:
• Ph.D. in Computer Science
• Ph.D. in Human-Computer Interaction
• Ph.D. in Machine Learning
• Ph.D. in Software Engineering
• Ph.D. in Networking and Security
• Ph.D. in Artificial Intelligence
Trinity College Dublin is at the fore line of computer science research pushing the boundaries of knowledge and innovation in the field its research areas such as
• Artificial Intelligence
• Digital Content Technology
• Graphics; Vision; Augmented and Virtual Reality
• Future Networks and IoT
• Future Cities
• Security; Privacy; and Data Protection
• Statistics and Data Science
• Software Performance and Correctness
Artificial Intelligence;
• Machine Learning
• Deep Neural Nets
• Deep Learning
• Natural Language Processing
• Semantics, Ontologies, and Reasoning
• Knowledge and Data Engineering
• Multi-Agent Systems
• Recommender Systems
Digital Content Technology;
Personalization
• Adaptive composition/authoring
• Information retrieval, just-in-time visualization
• Multimodal analysis and interaction, HCI
• Intelligent content discovery
Knowledge-based modeling and data governance
• Semantic web and linked data
• Data management
• Data ethics
• Data governance
• Interoperability and federation
Content analytics
• Stylistics, politeness, events, and meaning
Technology-Enhanced Learning
• ICT education and 21st-century teaching and learning
• Mobile learning technologies
• Online and blended learning environments
Graphics, Vision, Augmented and Virtual Reality;
Character Animation
• Motion capture & synthesis
• Appealing characters
Real-Time Rendering & Animation
• Crowd & urban simulation
• Real-time 3D scientific visualization
Image Processing
• Augmented and Virtual Reality (AR/VR)
• Free View-point Video (FVV)
• 360-Video
• Light-Field Technologies
• Visual Effects and Animation
• 3D rendering from 2D images
• Color transfer/mapping in videos
Computer Vision
• Gesture recognition
• Computer Graphics/Vision Hardware
• Illumination & Display Systems
Future Networks and IoT;
Future Wireless
• Small cell/C-Ran/WiFi/Supercell
• Dynamic resource management/sharing
• Multipath, low latency transport
• 5G, Internet of Things
Optical Networks
• Software-defined networking
• Optical/wireless convergence
Internet of Things
• Nationwide radio infra-structure
Future Cities;
Urban-scale Sensing
• Wireless sensor networks
• Participatory sensing
Middleware Architectures
• Autonomic management
• Model-free learning algorithms
Smart Services
• Intelligent transport
• Community microgrid management
Security, Privacy, and Data Protection;
• Security and privacy mechanisms
• Measurement
• Localized Internet measurement
• Mobile handset monitoring
• Standardization
Statistics and Data Science;
Bayesian Inference
• Time-series analysis, streaming data
• Robust statistics, inverse regression
• Scalable algorithms
Decision Theory & Optimization
• Adaptive utility, sequential decision-making
• Lightweight and private optimization
Machine Learning
• Linear & Logistic Regression
• Support Vector Machines & Kernel Methods
• k-Means Clustering and Mixture Models for Unsupervised Learning
• Neural Networks
• Deep Learning
Data Visualization
• Visual Information
• Graph, Spatial and Interactive data visualization
Software Performance and Correctness;
Software Performance
• Low-energy computing
• Compilers and parallelization for multi-core
• Algorithm design for parallelism & locality
Foundations of Computation
• Programming abstractions for parallel computing
• Proof techniques for software correctness
• Verification & static analysis for critical systems
• Trinity Centre for High Performance Computing (TCHPC)
• Trinity Centre for Bioengineering (TCBE)
• Trinity Centre for Bio-Inspired Computing (TCBIC)
• Trinity Centre for Digital Humanities (TCDH)
• Trinity Centre for Networked Systems (TCNS)
• Trinity Centre for Information Systems (TCIS)
• Trinity Centre for High Performance Networking (TCHPN)
• Trinity Centre for Environmental Systems Modelling (TCESM)
• Trinity Centre for Grid Computing (TCGC)
• Trinity Centre for Mobile Applications and Services (TCMAS)
• Trinity Centre for Creative Communications (TCCC)
• Trinity Centre for Web Science (TCWS)
• Adaptive Media Research Group (AMRG)
• Computer Security and Reliability Group (CSRG)
• Algorithms, Graphs, and Optimisation Group (AGOG)
• Robotics and Autonomous Systems Group (RASG)
• Human-Computer Interaction Group (HCI)
• Machine Learning Group (MLG)
• E-Commerce Research Group (ECRG)
• ADAPT
• CONNECT
• Enable
• Learnovate
• V-SENSE
• Trinity College Dublin Postgraduate Research Scholarship (TCD-PGRS)
• College of Science Postgraduate Research Scholarship (CS-PGRS)
• Trinity Graduate Scholarship (TGS)
• Irish Research Council Postgraduate Scholarship (IRC-PGS)
• Science Foundation Ireland Postgraduate Scholarship (SFI-PGS)
• Irish Research Council Postdoctoral Fellowship (IRC-PDF)
• Science Foundation Ireland Postdoctoral Fellowship (SFI-PDF)
• Trinity Postgraduate Research Fellowship (TPRF)
• Irish Research Council Postgraduate Fellowship (IRC-PGF)
• Globalink Research Award (GRA)
• Fulbright-Trinity College Dublin Postgraduate Award (FT-PGA)
Funded projects in computer science at Trinity College Dublin - Ireland, are
• Data-Driven Innovation for Sustainable Urban Development
• Human-Centered Machine Learning
• Secure and Private Data Analytics
• Automated Machine Learning for Big Data Applications
• Blockchain for Collaborative Knowledge Management
• Automated Software Verification and Validation
• The Internet of Things for Smart Cities
• Intelligent Agents for Autonomous Systems
Admission requirements for Ph.D. in Trinity College Dublin - Ireland, are;
• Applicants must hold a minimum of a 2:1 Honors degree from an authorized university in a related discipline
• Ph.D. applicants must hold an MSc degree in a related discipline
• Applicants must submit an online application form through the Trinity College Dublin Graduate Studies Office along with
• Two references from academics
• Copies of your transcripts and/or degree certificates
• The research proposal that outlines the research project
• An application fee