Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 12 - 18 Months
Artificial Intelligence (AI) encompasses the techniques and methods used to tackle problems that traditional approaches to computing struggle to solve. The four areas of fuzzy logic, evolutionary computing, neural networks and natural language processing encompass much of what is considered to be artificial intelligence. There are also opportunities to apply what you learn in areas such as robot control and games development, depending on your interests.
You will study neural systems, natural language processing and research methods and applications while developing your skills in our dedicated robotics laboratory, equipped with a variety of mobile robots. The applied computational intelligence module considers knowledge-based systems, as well as the historical, philosophical and future implications of AI, and focuses on current research and applications in the area.
Modules include work based on research by the Institute of Artificial Intelligence (IAI). With an established international reputation, its work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Previous students have published papers with their IAI project supervisors and progressed on to PhD study.
You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject.
We are happy to consider equivalent qualifications from anywhere in the world.
If you have no formal academic qualifications but do have extensive industry experience we will consider your application on an individual basis.
Working at the cutting-edge of artificial intelligence (AI) is enriching Nontawat Pattanajak’s research and studies at De Montfort University Leicester (DMU).
“AI is becoming increasingly important across many industries and careers, so the opportunity to gain professional experience has been very valuable.
“It’s giving me the chance to apply what I’ve learned at university to real-life projects and getting to use state-of-the-art tools and methods is developing my technical skills.
“I’m grateful to be working with a team of experts who are supporting my progress and that my role is stimulating and varied.”
Neural Systems and Natural Language Processing
Artificial Intelligence for Mobile Robots
Fuzzy Logic and Evolutionary Computing
Research Methods & Applied AI
Thesis Project
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