Artificial Intelligence Machine Learning and Advanced Computing

Program Overview

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Three fully-funded 4-year PhD scholarships are available to start in October 2023 in the area of Artificial Intelligence Machine Learning and Advanced Computing. The PhDs are suitable for graduates with a keen interest in AI algorithms for data analytics, visualisation and image analysis.

The three, 4-year PhD, scholarships will sit within the UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning & Advanced Computing (CDT-AIMLAC). The students will be based at Bangor University, located within the School of Computer Science and Electronic Engineering (CSEE). Funding will cover the full cost of tuition fees and an annual stipend of approximately £15,900. Additional funding is available for research expenses.

Candidates must indicate and prioritise their first, second and third choice of the offered projects (indicating clearly the primary supervisor and title) from the following. Applicants also require a research proposal in their own words based on their first choice. Candidates will be shortlisted, and then invited for interview.

Additional information of the projects can be found

here.

Project 1. Visualisation of law using Artificial Intelligence

Supervisor: Dr Pete Butcher, School of Computer Science and Electronic Engineering, Bangor University

2nd supervisor: Prof Jonathan C. Roberts (School of Computer Science and Electronic) and Dr Sarah Nason. School of Law

Project 2. Artificial Intelligence in IoT Full stack (Internet of Things) for Environmental Science

1st supervisor: Dr Noel Bristow, School of Computer Science and Electronic Engineering

2nd supervisor: Dr Panagiotis Ritsos, School of Computer Science and Electronic Engineering

Project 3: AI driven data-visualisation design and storytelling

Supervisor: Prof. Jonathan Roberts School of Computer Science and Electronic Engineering, Bangor University

2nd and 3rd supervisor: Dr Pete Butcher, and Dr Panagiotis Ritsos, School of Computer Science and Electronic Engineering, Bangor University

The successful candidates will be required to attend taught components in year 1 (such as foundations of AI, research methods, information visualisation), residential meetings at Aberystwyth, Bristol, Cardiff or Swansea Universities, deliver responsible innovation, and engage with placements with external partners throughout the four-year programme. Placements may be six-month, or shorter three-month or two-week blocks. Successful applicants will be registered at Bangor University, hosted by the School of Computer Science and Electronic Engineering throughout their period of study, with the delivery of the related training in the PhD programme being shared between the Universities of Aberystwyth, Bangor, Bristol, Cardiff and Swansea.

Program Outline

Course details

You will study six taught modules. A standard module is equivalent to 200 hours of learning and on successful completion of each module, you will achieve 20 credits towards your chosen award.

You will also undertake personal research and complete a dissertation to gain 60 credits towards your masters degree.

How you’ll be taught

The core material is delivered through lectures and tutorials taught by professionally qualified academic staff and industrial specialists. Independent study is required for each of the modules. Lectures present concepts, theory, techniques and background information.

Students will undertake three taught modules in each of Trimesters 1 and 2 of the academic year and complete their dissertation in the final trimester.

You can choose to start in either January or September.

Duration:

September starts: 12 months

January starts: 18 months with a three-month break over the summer (after the first taught trimester)

You will generally attend the university two days a week.

Term dates

are available through the website. This course can also be studied part-time and by online learning.

Assessments

Assessments

Assessments are by a mixture of coursework, case study assignments, projects and exams. This can consist of a variety of tasks including report writing, essays, research briefs and posters. You will be provided with formative feedback throughout the modules. This will enable you to assess your progress and level of understanding. Full details of the assessment strategy for each module can be found in the module catalogue by clicking on further information for modules listed and then click on the down arrow beside the delivery date of the module.

Work placement

There is no credit bearing work placement element, however students are encouraged to seek work placements and there is a school unit available to assist the student.

Facilities All teaching will take place at the Merchiston Campus of Edinburgh Napier University. This is situated at the heart of the beautiful city of Edinburgh allowing the student easy access to one of the most desirable cities in the world.

The campus is a modern and vibrant facility with state of the art teaching and student support facilities.