Informatics: ANC: Machine Learning, Computational Neuroscience, Computational Biology PhD 36 months PHD Programme By The University of Edinburgh |TopUniversities
Subject Ranking

# 23QS Subject Rankings

Programme Duration

36 monthsProgramme duration

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The Institute for Adaptive and Neural Computation (ANC) is a world-leading institute dedicated to the theoretical and empirical study of adaptive processes in both artificial and biological systems. We are one of the UK’s largest and most prestigious academic teams in these fields.


We foster world-class interdisciplinary and collaborative research bringing together a range of disciplines.


Our research falls into three areas:


  • machine learning
  • computational neuroscience
  • computational biology


In machine learning, we develop probabilistic methods that find patterns and structure in data, and apply them to scientific and technological problems. Applications include areas as diverse as astronomy, health sciences and computing.


In computational neuroscience and neuroinformatics, we study how the brain processes information, and analyse and interpret data from neuroscientific experiments.


The focus in the computational biology area is to develop computational strategies to store, analyse and model a variety of biological data (from protein measurements to insect behavioural data).

Programme overview

Main Subject

Computer Science and Information Systems

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The Institute for Adaptive and Neural Computation (ANC) is a world-leading institute dedicated to the theoretical and empirical study of adaptive processes in both artificial and biological systems. We are one of the UK’s largest and most prestigious academic teams in these fields.


We foster world-class interdisciplinary and collaborative research bringing together a range of disciplines.


Our research falls into three areas:


  • machine learning
  • computational neuroscience
  • computational biology


In machine learning, we develop probabilistic methods that find patterns and structure in data, and apply them to scientific and technological problems. Applications include areas as diverse as astronomy, health sciences and computing.


In computational neuroscience and neuroinformatics, we study how the brain processes information, and analyse and interpret data from neuroscientific experiments.


The focus in the computational biology area is to develop computational strategies to store, analyse and model a variety of biological data (from protein measurements to insect behavioural data).

Admission Requirements

Entry requirements for individual programmes vary, so please check the details for the specific programme you wish to apply for on the University of Edinburgh website. You will also need to meet the University’s language requirements.

3 Years
Jan
May

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