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Computer Science & Statistics - Research

School Description:

The School of Computer Science and Statistics has a very active Ph.D. programme, with about 200 students currently enrolled. The objective of the programme is that its Ph.D. students undertake world-class research that will have a demonstrable impact on society at large and, in so doing, to have trained the researchers and academics of the future.
For the purposes of research, the School is divided into 5 Disciplines, four of which – Computer Systems, Information Systems, Intelligent Systems and Software Systems – offer a Ph.D. in Computer Science. The Statistics Discipline offers a Ph.D. in Statistics. The typical duration of a Ph.D. is 3 to 4 years and consists of an initial 18 month phase of coursework and development of a research topic, followed by concentration on the research topic and writing of a thesis for presentation at an oral examination.

Entry requirements

Entry Requirements

Postgraduate work in Trinity College Dublin is very academically challenging and as a result the University has high academic entry requirements.

Applicants will need to hold:

•at least a 2.1 honors degree from an Irish university or equivalent result from a university in another country

•a fluent command of the English language

Some courses may require higher standards or require you to take further tests or attend an interview.

Postgraduate Research Degrees

All students undertaking a research degree are assigned to a single principal supervisor. The supervisor’s role is essentially that of an academic guide and mentor.

If you plan to carry out your degree by research, you are advised to contact the appropriate School with your research proposal and arrange a suitable supervisor before submitting your application. You should initially consult the School website for further information.

Research students are placed either directly on the Ph.D. register or on the Masters register. Research students on the Masters register may then transfer to the Ph.D. register if their progress has been satisfactory. Such transfers usually occur during the second year of full-time study.

Further enquiries

Head of School:Dr Jeremy Jones
Director of Teaching & Learning (Postgraduate):
Professor Lucy Hederman

Telephone:+353-1-896 1765
Fax:+353-1-677 2204
Email:postgraduate@scss.tcd.ie

Application date

Research Applications

No closing dates apply for application for higher degrees by research but there are only two registration periods (September and March). Applicants are advised to apply as early as possible prior to their chosen registration period as supervisory capacity may be limited.

In exceptional circumstances it may be possible to register retrospectively. Applicants wishing to be considered for retrospective admission should contact the Graduate Studies Office by emailing research.admissions@tcd.ie

Research areas

Current research areas in the School

Computer Science:

Current research in computer science covers a wide range of topics from the theoretical to the applied. Much of this research is funded by the EU, national funding agencies such as Science Foundation Ireland and the Higher Education Authority as well as both indigenous and multinational companies. Staff research interests include: distributed systems including middleware and ubiquitous computing, artificial intelligence, especially logic programming, neural networks and case-based reasoning, cognitive science, computational linguistics, natural language processing, computer vision and robotics, image processing, networks and telecommunications including network management, security, electronic commerce and mobile communications, computer architecture, grid computing, multimedia servers, computer graphics, image synthesis and animation, virtual reality, multimedia systems, information systems and management, management of ICT, health informatics, and formal methods.

Statistics:

The Statistics Discipline has one of the most active research groups in this field in Ireland. The research interests of its staff and graduate students include: modern computationally intensive tools in both Bayesian and classical statistics (techniques which are driven by new applications in science and engineering), theoretical work on modern regression methods, and specialist applications of statistics in business, industry and society. Projects currently supporting research students under funding from national and international agencies include: Bayesian statistical computation using functional approximations like Laplace and variational Bayes, palaeoclimate reconstruction, source separation for multi-spectral astronomical images, estimating species diversity in marine animals, failure and reliability of complex telecommunications networks and optimal road traffic management.

Enrolment and start dates

March 2017 Entry

Doctor in Philosophy, Computer Science (Part-Time)
Doctor in Philosophy, Computer Science (Full-Time)
Doctor in Philosophy, Statistics (Part-Time)
Doctor in Philosophy, Statistics (Full-Time)
Master in Science, Computer Science (Part-Time)
Master in Science, Computer Science (Full-Time)
Master in Science, Statistics (Part-Time)
Master in Science, Statistics (Full-Time)

September 2017 Entry

Doctor in Philosophy, Computer Science (Part-Time)
Doctor in Philosophy, Computer Science (Full-Time)
Doctor in Philosophy, Statistics (Part-Time)
Doctor in Philosophy, Statistics (Full-Time)
Master in Science, Computer Science (Part-Time)
Master in Science, Computer Science (Full-Time)
Master in Science, Statistics (Part-Time)
Master in Science, Statistics (Full-Time)

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