The Institute for Adaptive and Neural Computation (IANC) 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:
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).
You carry out your research within a research group under the guidance of a supervisor. You will be expected to attend seminars and meetings of relevant research groups and may also attend lectures that are relevant to your research topic. Periodic reviews of your progress will be conducted to assist with research planning.
A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies.
The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.
The award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.
It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.
Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.
Among our entrepreneurial initiatives is Informatics Ventures, set up in 2008 to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.
The research you will undertake at IANC is perfectly suited to a career in academia, where you’ll be able to use your knowledge to advance this important field. Some graduates take their skills into commercial research posts, and find success in creating systems that can be used in everyday applications.
The Centre for Neuroregeneration (CNR) conducts research at the cellular and molecular levels.
If you apply for one of the programmes listed on the right, you should have already been in contact with your potential future supervisor and have agreed on a research proposal. Otherwise please go to the MSc by Research in Integrative Neuroscience website. This is a programme that will match you up with supervisors and there is no need for a research proposal at this point.
We actively collaborate with clinical neuroscientists as well as computational neuroscientists working in neuroinformatics.
The Edinburgh neuroscience community maintains the highest standards of research training and a long tradition of research publication in international journals.
The division has several interdisciplinary research groups studying the degeneration and repair of neurons and the mechanisms that underlie human neurological diseases.
The CNR has state-of-the-art laboratories in the Chancellor’s Building.
Understanding the relationship between brain, cognition and behaviour is one of the main challenges the scientific community is currently facing. Which neural processes underlie “free” decisions, the formation of new memories, the emergence of conscious experience? Computational cognitive neuroscience is a young and exciting discipline that tackles these long-standing research questions by integrating computer modelling with experimental research.
This Masters programme will foster a new generation of scientists who will be trained in both neurocomputational modelling as well as cognitive neuroscience. Its core topics include theory and practice of biologically constrained models of neurons, cortical circuits, and higher cognitive functions (memory, decision making, language), and fundamentals of cognitive neuroscience (brain mechanisms and structures underlying cognition and behaviour, as well as modern neuroimaging and data analysis techniques). The programme is suitable for students from a variety of disciplines (including psychology, computing, neuroscience, engineering, biology, maths, physics, or related subjects), and students with no prior programming experience are welcome. Thanks to the highly multidisciplinary and cutting-edge nature of the programme, graduates of this Masters will acquire a unique set of complementary skills that will make them extremely competitive in securing research or analyst positions in both academia and industry.
You will study the following modules:
1. Research Project which will be carried out by combining the computational, experimental and data analysis skills that students will acquire over Term 1 and 2.
In Term 1, students will have to choose one amongst the following 4 options (each 15 CATS, level 7):
- Neural Networks (IS57002A)
- Machine Learning (IS71071A)
- Natural Computing (IS71072A)
- Data and Machine Learning for Artistic Practice (IS71074A)
Please note that the new modules may change subject to approval
Please note that due to staff research commitments not all of these modules may be available every year.
The MSc by Research in Integrative Neuroscience is a one-year, full-time research programme covering all levels of modern neuroscience, which makes it an ideal programme to prepare you for a PhD.
We include molecular, cellular, systems, regenerative, cognitive, clinical and computational neuroscience. We also allow you to choose your specialty right from the start, allowing you to shape your learning around your interests and career goals.
You start with a taught component in the first 12 weeks, and attend ‘themed weeks’ which run in parallel with elective courses.
Elective courses include:
The elective courses run during the first 12 weeks on two half days per week. These will give you a deeper insight into the concepts and methodology of a specific field of interest.
For your research you can choose available projects or contact principal investigators from more than 120 groups in the Edinburgh Neuroscience community to develop your own project, which can range from psychology to nanoscience.
You can decide to do two consecutive projects to gain a strong overview of research areas, or do a longer project to get a more in-depth laboratory experience in one field.
This programme is designed to help you in your research career. Over 90% of students on the MSc by Research in Integrative Neuroscience have positive next destinations, including PhD, research or clinical career paths.