Why Study at the SWC?
Our students receive a comprehensive introduction to theoretical and systems neuroscience, as well as intensive training in experimental techniques, including imaging, physiology, molecular, and behavioural methods in systems neuroscience.
The Programme is taught by SWC faculty together with colleagues at the Gatsby Computational Neuroscience Unit and other affiliated institutions, all experts in their respective fields. Gatsby and SWC students overlap extensively during the Programme, building the foundations for long-lasting collaborations and friendships.
SWC students are fully funded and receive an annual stipend of £24,278, as well as funds to attend international courses or meetings. We also cover the cost of tuition fees for both home and international students.
The SWC PhD is your opportunity to receive world-class training as a neuroscientist and launch an exciting career in academia or industry. Apply to join our pool of exceptional students from around the globe.
The SWC PhD is a four-year programme. Below is a short overview of each year.
The first year is centered around courses - Boot Camp, Systems Neuroscience and Theoretical Neuroscience, Experimental Neuroscience, Neural Data Modelling - and rotations.
All students begin by attending Boot Camp, a three-week course covering the fundamentals of neuroscience and technology – the things we believe everyone should know before they begin their quest to discover new things. The course, developed in partnership with the Cajal Advanced Neuroscience Training Programme, is a centred around a fundamental principle: no “black boxes”.
In short, Boot Camp covers everything from electrons to intelligence and empowers students to build an increasingly sophisticated robot, learning about neuroscience principles and technologies (hardware and software) along the way.
Once the first term begins, students in the SWC and Gatsby PhD programmes together attend Systems Neuroscience & Theoretical Neuroscience, an intensive lecture course in which SWC and Gatsby faculty take turns giving lectures from the angle of their area of expertise.
In parallel with this, SWC students learn advanced experimental neuroscience techniques in a hands-on practical course centering on three areas: electrophysiology, optics and microscopy, and learning and behaviour. Here, the first-year students will for example implement a 1,000 channel in vivo recording system, build their own two-photon microscope, and develop a closed-loop behaviour assay.
During the second year, students design a PhD project, select supervisors and begin their research. They also assist with teaching the new first-year students.
Third year students write a report and take a viva exam to upgrade from MPhil to PhD. Apart from this, the year is centered on research.
Year 4 and beyond
The last year, students complete their research and make a detailed plan for the time remaining until graduation. They write and submit their PhD thesis and sit a viva examination.
All Centre members are invited to participate in journal clubs and learning groups organised by students, post-docs and researchers.
We also encourage students to take advantage of the wide range of transferable skills courses available through the UCL Doctoral School.
We are looking for candidates with a keen interest in neuroscience, coupled with an undergraduate degree in a relevant field (for example Neuroscience, Life Sciences, Physics, Maths or Computer Science) at a minimum of upper second-class UK Bachelor’s level or overseas equivalent.
Applications for the September 2023 intake is now open and closes 11:59 PM Tuesday 21 November 2022. To find out more about the application process, please follow the “Applications” link at the top left of this page.
For queries about the SWC PhD Programme or the application process, please contact us at SWC-PhDprogramme@ucl.ac.uk.
Syllabi for the first year courses Systems Neuroscience and Theoretical Neuroscience, Experimental Neuroscience, and Neural Data Modelling are below.
Systems Neuroscience and Theoretical Neuroscience
Module 1 - Systems Basics
- Module Introduction All module organisers
- Introduction to Theoretical Neuroscience: from Channels to Circuits Peter Latham
- Voltage-Gated Channels Tiago Branco
- Dendritic Integration Tiago Branco
- Plasticity Troy Margrie
Module 2 - Sensory Systems
- Introduction to Sensory Systems Tom Mrsic-Flogel
- Perception as Signal Processing Maneesh Sahani
- Perception as Inference Maneesh Sahani
- Organisation of Cortical Circuits Tom Mrsic-Flogel
- Abstract Representation in Sensory Systems Neil Burgess
- Influence of Behaviour and Context on Sensory Processing Sonja Hofer
Module 3 - Social and Affective Systems
- Module Introduction John O’Keefe
- Implementation of Innate Circuits Yoh Isogai, Christina Mazuski, Lennart Oettl
- Parental/Pup-Directed Behaviour Yoh Isogai
- The Amygdala John O’Keefe
- Defensive Behaviour Tiago Branco
- Human Emotion Quentin Huys
Module 4 - Action Systems
- Module Introduction Andrew Murray
- Pattern Generation Peter Latham
- Computational Control Maneesh Sahani
- Cerebellum Tom Otis
- Basal Ganglia Marcus Stephenson-Jones
- Neocortex: Circuitry and Models Andrew Murray, Maneesh Sahani
- Module 4 Q&A All module organisers
Module 5 - Cognitive Systems, Decision Making, and Learning
- Decision-Making I: From Sensation to Action Sonja Hofer
- Decision-Making II: Evidence Integration Peter Latham
- Reinforcement Learning Theory Quentin Huys
- Decision-making III: Learning How to Act Marcus Stephenson-Jones
- Synaptic Plasticity and BCM Theory Claudia Clopath
- Neuromodulation and State Changes Marcus Stephenson-Jones
- Neural Correlates of Engrams and Learning Sonja Hofer
- Working Memory and Cognitive Control Athena Akrami
- Intelligence and Adaptive Behaviour Adam Kampff
- Module 5 Q&A All module organisers
- Athena Akrami, Group Leader, SWC, UCL
- Tiago Branco, Group Leader, SWC, UCL
- Neil Burgess, Professor of Cognitive and Computational Neuroscience, Space and Memory Group Leader, Institute of Cognitive Neuroscience, UCL
- Claudia Clopath, Reader in Computational Neuroscience, Department of Bioengineering, Faculty of Engineering, Imperial College
- Sonja Hofer, Associate Professor in Neural Circuits and Behaviour, SWC, UCL
- Quentin Huys, Senior Clinical Lecturer, Max Planck Centre for Computational Psychiatry and Ageing Research, UCL
- Yoh Isogai, Group Leader, SWC, UCL
- Adam Kampff, Group Leader, SWC, UCL
- Peter Latham, Professor of Theoretical Neuroscience, Gatsby Computational Neuroscience Unit, UCL
- Troy Margrie, Professor of Systems Neuroscience, Associate Director, SWC, UCL
- Christina Mazuski, Research Fellow, SWC, UCL
- Tom Mrsic-Flogel, Professor in Neural Circuits and Behaviour, Director, SWC, UCL
- Andrew Murray, Group Leader, SWC, UCL
- Lennart Oettl, Research Fellow, SWC, UCL
- John O’Keefe, Professor of Cognitive Neuroscience, SWC, UCL
- Tom Otis, Professor of Neuroscience, Chief Scientific Officer, SWC, UCL
- Maneesh Sahani, Professor of Theoretical Neuroscience and Machine Learning, Director, Gatsby Computational Neuroscience Unit, UCL
- Marcus Stephenson-Jones, Group Leader, SWC, UCL
Module 1 - Electrophysiology Fundamentals
- Organisers: Tiago Branco, Troy Margrie
- Teaching assistants: Oriol Pavon Arocas, Charly Rousseau, Vanessa Stempel, Chryssanthi Tsitoura, Mateo Velez-Fort
Module 2 - Optics and Imaging
- Organisers: Sonja Hofer, Tom Mrsic-Flogel
- Teaching assistants: Rob Campbell, Alex Fratzl, Francesca Greenstreet, Petr Znamenskii
Module 3 - Molecular Biology and Behaviour
- Organisers: Yoh Isogai, John O’Keefe
- Teaching assistants: Marius Bauza, Mathew Edwards, Christina Mazuski, Daniel Regester, Spencer Wilson
Module 4 - Optogenetics and Photometry
- Organisers: Andrew Murray, Tom Otis
- Teaching assistants: Emily Reader-Harris, Victoria Tung, Egzona Morina
Module 5 - From Computer Vision to Closed Loop Reinforcement
- Organisers: Athena Akrami, Adam Kampff, Marcus Stephenson-Jones
The SWC hosts a large number of events, some open to the larger community and some specific to Centre members.
- SWC Special Lectures
- SWC Annual Symposium
- SWC Seminar Series
- SWC Emerging Neuroscientists Seminar Series
- Speed Science
- Data Club
- Journal Club
- Tea Hour
- Lunch with Seminar Speakers
- Data Analysis for the Rest of Us
SWC Special Lectures
The Centre annually invites a high profile speaker to hold a special lecture. Past invitees include Sir David Attenborough, Professor Frans de Waal, and Professor Daniel Dennett.
SWC Annual Student-Sponsored Symposium
SWC Seminar Series
Each week sees an interesting seminar given by an internationally renowned speaker. Students have the opportunity to have lunch together with invited speakers in conjunction with the seminar.
Emerging Neuroscientists Seminar Series
This seminar series is an open competition for postdocs around the world to apply to present their work at the SWC. The aim of the series is to give exceptional early career neuroscientists an opportunity to visit London, present as part of the regular SWC seminar series and discuss their science with SWC faculty, postdocs and students.
In this summer networking event, students or postdocs from each group in the building give a brief presentation on the work of their lab. Each presentation is followed by a Q&A and then further discussion over a barbeque on our rooftop terrace.
Data Club takes place bi-weekly at lunch time and involves a member of one of our labs presenting experimental results and questions from an ongoing project.
Students at the Centre meet regularly to discuss important scientific papers.
Taking place each Friday afternoon, the content of Tea Hour is varied and ranges from broad research talks to game nights and quizzes. Students determine the topic for at least every second Tea Hour.
PyClub and PyStarters
Initiated by post-docs and students, these learning forums are aimed at learning and sharing best practices in Python Programming between Centre members. PyClub caters to more experienced programmers and PyStarters to beginners.
Data Analysis for the Rest of Us
Like PyClub and PyStarters, the initiative for this learning group came from post-docs and students who wanted to deepen their proficiency in data analysis methods relevant to modern neuroscience. And like the former, it is also open to anyone in the building with a commitment to learn.
Check out our Alumni page to see SWC students that have been awarded their PhDs and their graduate destinations.
Meet Shanice, a PhD student in the Isogai lab at SWC. Thanks to her previous lab experience at University of Oxford, University of Cambridge and University of Reading, she had few surprises when embarking on her PhD at SWC. Now in her second year, Shanice shares her experience so far and one thing that did surprise her:
“One thing that did surprise me about my PhD at SWC though was just how interdisciplinary it is! I didn’t realise this would stretch to things like electronics and 3D printing. In our optics course, we built a two-photon microscope and for our PhD Boot Camp we even built a robot! I never thought I would get to do these things in a biological PhD.”
Read Shanice’s full story here: Embarking on a PhD in systems neuroscience
Meet Steve, the first ever SWC student to be awarded their PhD. He shares some of the highlights during his time as a PhD student in the Margrie Lab, some of the hardest parts and also his top tips.
“One of the nice things about finishing my PhD is that I can now devote some time to thinking about what I want to do next. I didn’t spend much of my time during my PhD thinking about next steps. The SWC is a great environment – I don’t have a strong incentive to leave just yet!”
Read Steve’s story here: What is a neuroscience PhD really like?
Meet Nicole, a PhD student in the Hofer lab at SWC. She shares her journey in science so far and her advice to those interested in pursuing a PhD in neuroscience, including what being a PhD Student involves day-to-day and some top tips for applying.
“I am a first-generation student as no one in my family ever went to university. I remember when I first started my undergraduate degree, I had no idea what it would be like and I didn’t want to ask questions. I didn’t even know what a PhD was! A PhD involves working on one specific project (for around 3-7 years) and conducting the research yourself. You start out with a research question you are interested in and diverge or focus on a specific topic based on your findings. On top of that, you plan your experiments yourself, with help from your PI and postdocs in your lab.”
Read Nicole’s journey here: Pursuing a PhD in neuroscience
Doing a PhD is both exciting and challenging. To help students navigate through it all, the structure of the programme is designed to provide several sources of support, both informal and formal.
Fellow students form an inner circle for support and advice. The structure of the first year encourages students to make close connections with in-year peers from both the GCNU and the SWC programme. Together with GCNU students, SWC students have formed a PhD Student Association, which organises regular social events and meetings.
The first year, through courses and events, also brings students into contact with a large majority of the Centre community. In addition to introducing students to the research going on in all the groups, this makes students feel at home and helps them start to build a network.
More formal sources of support include the PhD Programme Committee, the PhD Programme Coordinator, and our Human Resources staff. In the first year, students are encouraged to consult any of these support networks for questions related to career, academics, or pastoral care.
At the beginning of the second year, students assemble a thesis committee, which in addition to the main supervisor will have at least two more members. The thesis committee becomes an additional avenue for guidance and help.
For students wishing to discuss with someone outside of the institute, the UCL Doctoral School has a range of resources that can provide advice in many areas, from academic progress to mental health and wellbeing. To explore these services, this page is a good starting point.