Bioinformatics (Research) MPhil/PhD at Kings College London

Overview

Current number of academic staff: 67, with eight in the Algorithms and Data Analysis group, and numerous collaborators elsewhere in the College.

Current number of research staff and students: 45 research associates/fellows, approximately 200 MPhil/PhD students across all of our research areas and numerous internationally recognised visiting academics.

Research income: Currently, the Department attracts approximately £7m in research funding.

Recent publications: All academics in the Department publish regularly, with well over 100 publications per year.

Partner organisations: We have strong links with industry, government and other academic institutions. 

Recent events: We host several workshops and conferences and other regular research meetings. Please check our website for forthcoming events.

Description

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 study environment

We are a department with many internationally recognised researchers and visiting academics, large groups of PhD students, research assistants, national and international projects, collaborations with other departments  as well as links with industry. We offer an exciting environment and excellent opportunities for research.