About the Project
To celebrate the University’s research successes, the University of Hull is offering a full-time UK/EU PhD Scholarship or International Fees Bursary for candidates applying for the following project.
Closing date: - 13th March 2017
Studentships will start on 25th September 2017
The University of Hull invites applications for four fully-funded PhD scholarships in the area of Natural Computation and Big Data. Particular areas of interest are evolutionary algorithms, deep learning, natural language processing and the Internet of Things.
Recent years have seen significant breakthroughs in many artificial intelligence tasks including image classification, natural language processing, autonomous driving, and many more. The key technologies behind these advances are in most cases based on nature-inspired algorithms, such as deep learning or evolutionary methods, in combination with high performance computing. As computational models become more advanced, we are in a position to address more challenging tasks and investigate problems at a larger scale.
We are looking to recruit a team of four PhD students that look at complementary areas of research in natural computation and Big Data. The successful candidates will commence their studies within the School of Engineering and Computer Science and the newly founded Digital Centre at the University of Hull. Students will be based in a shared lab space to create an inspiring and collaborative work environment. Our research will make use of the University’s new High-Performance Computing facility Viper, which is equipped with state of the art equipment for parallel processing, high-memory computation and GPUs, and is ranked amongst the top 7 in the North of England.
Candidates should have excellent programming skills and a degree in Computer Science or a related discipline. Experience in machine learning is essential. Further knowledge and expertise of one or more of the following areas is highly desirable: evolutionary algorithms, deep learning, natural language processing, embedded systems and the Internet of Things (IoT).
Project Description
This PhD project will research and develop innovative natural computation techniques for scalable analysis of big complex network data. This involves tasks such as identification of bottlenecks and decompositions of large networks into sub-networks. A typical example is the identification of “bridges” that partition very large social networks. Such splits allow a social network to be decomposed into smaller networks, which can be analysed using more demanding computational methods that can use high performance computing techniques. Such results will pave the way to a reduction of computational time and resources to solve problems in big complex network data. Applications areas include community identification, creation of large network maps, and robustness assessment and improvement. Research outcomes apply to biological and engineering problems, such as analysis of protein-protein interactions and optimisation of energy and utility distribution networks.
To apply for these Scholarships please click on the Apply button below.
Full-time UK/EU PhD Scholarships will include fees at the ‘home/EU’ student rate and maintenance (£14,121 in 2016/17) for three years, depending on satisfactory progress.
Full-time International Fee PhD Studentships will include full fees at the International student rate for three years, dependent on satisfactory progress.
PhD students at the University of Hull follow modules for research and transferable skills development and gain a Masters level Certificate, or Diploma, in Research Training, in addition to their research degree.
Successful applicants will be informed of the award as soon as possible and by 8th May 2017 at the latest.
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