Overview

Bioinformatics is the application of computational methods in the representation and analysis of biological data. The availability of data from genome sequencing and high-throughput measurements in the human and other biological species has fuelled an explosive growth of bioinformatics during the past two decades. Research in bioinformatics has the potential to steer biological discovery in genomics, medical science and pharmaceutical applications. The research scope of the Algorithms and Data Analysis (ADA) group ranges from theoretical computational-complexity issues, through design and analysis of algorithms and data structures for generic computational problems, to developing machine learning algorithms that are able to apply but also acquire new knowledge, adapt to environment, and process new inputs. Particular emphasis is placed on developing algorithmic solutions and concrete implementations for various applications, focusing on applications engaging with verticals such as health, security, and finance. Research is supported by extensive collaborations across medical and biomedical departments within King's as well as other national and international research groups in computational and experimental sciences. If you are interested in joining us to undertake PhD research, you should identify topics and academic staff in your area of interest. If you cannot find your chosen topic or area on our individual research section or subgroup pages, contact a relevant member of academic staff for further information and then follow the application procedure.

Course detail

Our PhD students have access to good library facilities, designated PhD offices within the Department where PhD students can dock an assigned laptop for use throughout their studies, Regular group seminars are organised providing PhD students chance to showcase their research and receive feedback from academic staff and peers, and college-based training in transferable and research skills.