We strive to understand the central nervous system at multiple levels of function, from cells to cognition to social interactions. Our approaches range from molecular, cellular and experimental systems to the brain imaging of human behaviour and cognition as well as social level investigations.
Self-funded PhD opportunities
Age-related changes in the content and temporal dynamics of visual information processing
Supervisor: Dr. Guillaume Rousselet
Project outline: Understanding how visual perception changes with age is vital, as changes in perception affect cognitive tasks reliant on visual inputs. Whereas most cognitive aging research focuses on where and when age-related changes occur, little is known about how aging affects what the brain is processing (i.e. differences in the information content of brain activity). This project will address this gap by examining age related changes in human visual information processing across the adult lifespan. Concretely, we will isolate trial-by-trial the face information (e.g. specific facial features) and the information processing function (e.g. integration of facial features) associated with brain activity. By using EEG recordings, we will be able to assign specific information processing content to brain signals evolving from stimulus onset to the subject’s response.
The project will examine when, where and what information is processed as a function of task. By using a range of tasks we can reveal how visual information processing changes over the lifespan, and identify aging effects common across tasks, and those that are task specific. For the first time we will address what changes occur in the information content of brain activity with age. We anticipate that with age, information processing will be delayed and less task specific.
Summary aim: To quantify age-related changes in human visual information processing across the adult lifespan.
Techniques to be used
- Visual psychophysics
- reverse correlation
- information theory
- Matlab programming
- Schyns et al. (2011). Cracking the code of oscillatory activity. PLoS Biology
- Rousselet et al. (2010). Healthy aging delays scalp EEG sensitivity to noise in a face discrimination task. Frontiers in Psychology
- Rousselet et al. (2014). Eye coding mechanisms in early human face ERPs. Journal of Vision
Synaptic circuitry of the spinal dorsal horn: unmasking the anatomical basis of chronic pain
Supervisor: Dr. David I Hughes
Project outline: Chronic (persistent) pain affects 7.8 million people in the UK, however, only 66% of these patients respond to treatments that are currently available. Our failure to offer effective pain relief for a significant proportion of the population not only presents serious welfare problems, but also serves to highlight how little is known about the anatomical, physiological and pharmacological basis of sensory systems in health and disease. One of the defining characteristics of chronic pain is the development of tactile allodynia, in which previously innocuous mechanical stimuli are perceived as being painful.
This project aims to further our understanding of neuronal circuitry in the spinal dorsal horn by identifying populations of interneurons that receive direct inputs from tactile afferents and have the capacity to activate pain pathways following the development of neuropathic pain.
Summary aim: To identify dorsal horn interneurons implicated in the development of tactile allodynia after peripheral nerve injury.
Techniques to be used: A variety of molecular, cellular and systems level techniques will be used, including
- Recovery surgical techniques
- behavioural testing
- general histological techniques and immunocytochemistry
- confocal microscopy
- transmission electron microscopy
- image analysis using dedicated software (e.g. Neurolucida for confocal, Neurolucida Explorer, Meta Morph and Image J)
- Todd AJ (2010). Neuronal circuitry for pain processing in the dorsal horn. Nature Reviews Neuroscience 11:823-836 (doi:10.1038/nrn2947)
- Yasaka T, Tiong SY, Hughes DI, Riddell JS, Todd AJ (2010). Populations of inhibitory and excitatory interneurons in lamina II of the adult rat spinal dorsal horn revealed by a combined electrophysiological and anatomical approach. Pain 151: 475-488 (doi:10.1016/j.pain.2010.08.008)
- Hughes DI, Scott DG, Riddell JS, Todd AJ (2007). Upregulation of substance P in low-threshold myelinated afferents is not required for tactile allodynia in the chronic constriction injury and spinal nerve ligation models. Journal of Neuroscience 27: 2025-2034 (doi:10.1523/JNEUROSCI.5401-06.2007)
- Hughes DI, Sikander S, Kinnon CM, Boyle KA, Watanabe M, Callister RJ, Graham BA (2012). Morphological, neurochemical and electrophysiological features of parvalbumin-expressing cells: a likely source of axo-axonic inputs in the mouse spinal dorsal horn. Journal of Physiology 590: 3927-3951 (doi:10.1113/jphysiol.2012.235655)
- Smith KM, Boyle KA, Madden JF, Dickinson SA, Jobling P, Callister RJ, Hughes DI, Graham BA (2015) Functional heterogeneity of calretinin-expressing neurons in the mouse superficial dorsal horn: implications for spinal pain processing. J Physiol 593: 4319-4339 (doi:10.1113/JP270855)
- Abraira VE, Kuehn ED, Chirila AM, Springel MW, Toliver AA, Zimmerman AL, Orefice LL, Boyle KA, Bai L, Song BJ, Bashista KA, O?Neill TG, Zhuo J, Tsan C, Hoynoski J, Rutlin M, Kus L, Niederkofler V, Watanabe M, Dymecki SM, Nelson SB, Heintz N, Hughes DI, Ginty DD (2017) The cellular and synaptic architecture of the mechanosensory dorsal horn Cell 168: 295-310 (doi:10.1016/j.cell.2016.12.010)
Dr David I Hughes (David.I.Hughes@glasgow.ac.uk), Senior Lecturer, Institute of Neuroscience and Psychology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ
Synaptic plasticity deficits in schizophrenia
Supervisor: Prof. Brian Morris
Project outline: Schizophrenia is a common disease with a strong genetic influence. A number of functionally-related genes are believed to interact with environmental factors, such as stress or infection during early development, to cause the disease. We have recently found a gene involved in glutamatergic signalling that shows strong genetic association with schizophrenia. This gene is also linked to immune signalling and stress responses. This project aims to test the hypothesis that dysfunction in this gene mediates stress and immune influences on disease risk, and contributes to the neurochemical and cognitive impairments of the disease.
Summary aim: To determine whether gene deficiency produces cortical GABAergic deficits, impairs glutamatergic signalling or produces behavioural changes characteristic of schizophrenia (deficits in working memory and attentional processing).
Techniques to be used: A variety of molecular, cellular and systems level techniques will be used, including
- neural cell cultures
- gene transfection
- western blotting
- mouse behavioural analysis.
- Morris, B. J. and J. A. Pratt (2014). "Novel treatment strategies for schizophrenia from improved understanding of genetic risk." Clinical Genetics. (DOI 10.1111/cge.12485)
- Winchester, C. L., H. Ohzeki, et al. (2012). "Converging evidence that sequence variations in the novel candidate gene MAP2K7 (MKK7) are functionally associated with schizophrenia." Human Molecular Genetics 21: 4910-21.
- Coffey, E. T. (2014). "Nuclear and cytosolic JNK signalling in neurons." Nature Reviews Neuroscience 15: 285-99
- Prof Brian Morris (Brian.Morris@glasgow.ac.uk), Professor of Molecular Neurobiology, Institute of Neuroscience and Psychology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ
Hormonal regulation of social perception and physical appearance
Supervisor: Prof. Benedict Jones
Project outline: Recent work suggests that mate preferences and aspects of physical appearance are influenced by changes in hormone levels in many primate species, including humans. The proposed research will explore these issues further, focusing on how aspects of social appearance, such as judgments of adults’ attractiveness and infants’ cuteness, and aspects of appearance, such as facial colouration and shape, change as a function of men’s and women’s hormone levels.
Summary aim: To investigate links among aspects of social perception, physical appearance and men’s and women’s hormone level
Techniques to be used: Computer graphic techniques, such as Psychomorph, will be used to experimentally manipulate cues in digital face images. Other techniques from computer and vision science will also be used to objectively measure aspects of appearance. Hormone levels will be assessed from saliva samples.
- Higham JP et al. (2011) Familiarity affects the assessment of female facial signals of fertility by free-ranging male rhesus macaques. Proceedings of the Royal Society of London B, 278, 3452–3458.
- Setchell JM et al. (2006) Signal content of red facial colouration in female mandrills (Mandrillus sphinx). Proceedings of the Royal Society of London B 273, 2395–2400.
- Welling LLM et al. (2008). Men report stronger attraction to femininity in women’s faces when their testosterone levels are high. Hormones and Behavior, 54, 703-708.
- Welling LLM et al. (2007). Raised salivary testosterone in women is associated with increased attraction to masculine faces. Hormones and Behavior, 52, 156-161
- Prof Benedict Jones (firstname.lastname@example.org), Institute of Neuroscience & Psychology, College of Medical, Veterinary and Life Sciences, University of Glasgow.
The role of family and visual experience in mate choice
Supervisor: Dr. Lisa DeBruine
Project outline: Humans exhibit homogamy in mate choice and preferences across a range of characteristics, including facial appearance, hair colour and eye colour [1,2]. Explanations for this phenomenon fall into three main categories: those that emphasize matching to own characteristics , those that emphasize learning from parental models [4-6], and those that emphasize the transmission of preferences from parents [7,8].
This project will test predictions from these three hypotheses using both actual partner characteristics and data from visual preference studies. We will aim to test these hypotheses in various populations, such as same-sex versus different-sex couples, adoptees versus non-adoptees, in large population-level datasets, and in twin populations.
Summary aim: This project will aim to test hypotheses for the relationship between own, parental, and partner phenotypic characteristics.
Techniques to be used:
- Face morphing and transformation software (PsychoMorph)
- multilevel regression analyses (using R)
- database management (MySQL)
While statistical and coding experience are helpful, training will be provided in all techniques.
- Little, A. C., Penton-Voak, I. S., Burt, D. M., Perrett, D. I. (2003). Investigating an imprinting-like phenomenon in humans: partners and opposite-sex parents have similar hair and eye color. Evolution and Human Behavior, 24:43–51.
- Bereczkei, T., Gyuris, P., Weisfeld, G.E. (2004). Sexual imprinting in human mate choice. Proceedings of the Royal Society B, 271:1129–1134. doi:10.1098/rspb.2003.2672.
- Keller, M. C., Thiessen, D., Young, R. K. (1996). Mate assortment in dating and married couples. Personality and Individual Differences, 21: 217–221.
- Bateson, P. P. G. (1966). The characteristics and context of imprinting. Biological Review, 41:177–220.
- Ten Cate, C., Verzijden, M. N., Etman, E. (2006). Sexual imprinting can induce sexual preferences for exaggerated parental traits. Current Biology, 16:1128–1132. doi:10.1016/j.cub.2006.03.068.
- Little, A. C., DeBruine, L. M., & Jones, B. C. (2005). Sex-contingent face aftereffects suggest distinct neural populations code male and female faces. Proceedings of the Royal Society of London B, 272, 2283–2287.
- Rantala, M. J., & Marcinkowska, U. M. (2011). The role of sexual imprinting and the Westermarck effect in mate choice in humans. Behavioral Ecology and Sociobiology, 65(5): 859–873. doi:10.1007/s00265-011-1145-y
- Verweij, K. J. H., Burri, A. V, Zietsch, B. P. (2012). Evidence for genetic variation in human mate preferences for sexually dimorphic physical traits. PloS One, 7(11): e49294. doi:10.1371/journal.pone.0049294
- Lisa DeBruine (email@example.com), Reader, Instiute of Neuroscience and Psychology, College of Medical, Veterinary and Life Sciences, University of Glasgow, 58 Hillhead Street, Glasgow. G12 8QB
Spinal cord neuronal pathways for pain and itch
Supervisor: Prof. Andrew Todd
Project outline: The dorsal horn of the spinal cord plays an important role in processing sensory information that is perceived as pain and itch, but despite its importance we know little about the organisation of neural circuits in this region. Sensory information is conveyed to the brain via projection neurons, which are concentrated in lamina I and scattered through the deeper dorsal horn laminae. However, the vast majority of neurons in laminae I-III are interneurons, with axons that arborise locally. Around two-thirds of these are glutamatergic (excitatory), while the remainder are inhibitory and use GABA and/or glycine.
Recent studies have demonstrated that the inhibitory interneurons can be divided into a number of distinct neurochemical populations that differ in their synaptic inputs and outputs, and this has begun to shed light on how the inhibitory circuits are organised. We offer a variety of projects that will explore the neuronal organisation and synaptic circuitry of the dorsal horn, and how these circuits contribute to the transmission and modulation of sensory information at the spinal level.
Summary aim: To identify distinct functional populations among dorsal horn neurons and to define their roles in synaptic circuits that are responsible for the perception of pain and itch.
Techniques to be used:
- confocal and electron microscopy
- neuronal reconstruction
- retrograde neuronal tracing
- PCR (for genotyping).
- Todd AJ (2010) Neuronal circuitry for pain processing in the dorsal horn. Nature Reviews of Neuroscience 11:823-836.
- Polgár E, Sardella TCP, Tiong SYX, Locke S, Watanabe M, Todd AJ (2013) Functional differences between neurochemically-defined populations of inhibitory interneurons in the rat spinal cord. Pain 154:2606-2615.
- Kardon AP, Polgár E, Hachisuka J, Snyder LM, Cameron D, Savage S , Cai X, Karnup S, Fan CR,. Hemenway GM, Bernard CS, Schwartz ES, Nagase H, Schwarzer C, Watanabe M, Furuta T, Kaneko T, Koerber HR, Todd AJ, Ross SE (2014) Dynorphin acts as a neuromodulator to inhibit itch in the dorsal horn of the spinal cord. Neuron 82:573-586.
- Prof Andrew J Todd (firstname.lastname@example.org) MBBS, PhD, FSB, Professor of Neuroscience, Institute of Neuroscience and Psychology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ;
- Dr John S Riddell (email@example.com) PhD, Institute of Neuroscience and Psychology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ
Neurobiology of reward learning and decision making in humans
Supervisor: Dr. Marios Philiastides
Project outline: Imagine picking wild berries in a forest when suddenly a swarm of bees flies out from behind a bush. In a split second, your motor system has already reacted to flee the swarm. This automatic response constitutes a powerful survival mechanism that allows efficient behaviour switching to escape from a potential hazard in the environment. In turn, a separate and more deliberate process of learning to avoid similar situations will also occur, rendering future berry picking attempts less appealing.
Our lab is interested in understanding the neural pathways and mechanistic principles guiding these processes. To this end we use a multimodal neuroimaging approach in combination with computational modelling and advanced statistical data analysis techniques to closely scrutinise the data collected from human participants.
Our ultimate goal in characterising these neural processes is to further improve our understanding of how everyday responses to rewarding or stressful events can affect our capacity to make optimal decisions, as well as facilitate the study of how mental disorders—such as chronic stress, obsessive-compulsive-disorder, post-traumatic disorder and depression—affect learning and strategic planning.
Summary aim: Projects are available to investigate the neurobiological basis of reward learning and decision making in humans using multimodal neuroimaging (e.g. MEG/EEG, fMRI, simultaneous EEG/fMRI) and computational modelling. These projects are designed to characterize the patterns of brain activity underlying reward and value-based decisions, the computational principles underlying such decisions, and how these can be used to identify biomarkers for disorders known to compromise ones decision making faculties to be used in future neurobiological or clinical research.
Techniques to be used:
- ultra-high field (7T) fMRI
- simultaneous EEG/fMRI
- multivariate pattern analysis
- computational modelling
- Elsa Fouragnan, Chris Retzler, Karen Mullinger and Marios G. Philiastides (2015), Two spatiotemporally distinct value systems shape reward-based learning in the human brain, Nature Communications, 6: 8107.
- Marios G. Philiastides, Guido Biele, and Hauke R. Heekeren (2010), A mechanistic account of value computation in the human brain, PNAS, 107 (20): 9430-9435.
- Marios G. Philiastides, Guido Biele, Niki Vavatzanidis, Philipp Kazzer and Hauke R. Heekeren (2010), Temporal dynamics of prediction error processing during reward-based decision making, NeuroImage, 53 (1): 221-232.
- Marios Philiastides, Institute of Neuroscience and Psychology, Centre for Cognitive Neuroimaging (CCNi), University of Glasgow, 58 Hillhead Street, Glasgow G12 8QB, UK. Marios.Philiastides@glasgow.ac.uk Ph: +44 (0) 141 330 4774
Physiology of Cognitive Deficits in Schizophrenia
Supervisor: Dr. Peter Uhlhaas
Project outline: Converging evidence from electrophysiological, physiological and anatomical studies suggests that abnormalities in the synchronized oscillatory activity of neurons may have a central role in the pathophysiology of schizophrenia. In patients with schizophrenia, the synchronisation of beta- and gamma-band activity is abnormal, suggesting a crucial role for dysfunctional oscillations in the generation of the cognitive deficits and symptoms of the disorder. Dysfunctional oscillations may arise due to anomalies in the brain’s rhythm generating networks of GABA (γ-aminobutyric acid) interneurons and deficits in NMDA-receptor functioning.
In our current work, we employ magnetoencephalography (MEG) and Magentic Resonance Spectroscopy (MRS) in schizophrenia patients as well as in participant at ultra-high risk for psychosis to identify biomarkers for early detection and diagnosis that shall aid development of novel treatments.
Summary aim: To identify the role of rhythmic activity in cognitive and clinical symptoms of schizophrenia
Techniques to be used:
- Brain Stimulation
- Grent-'t-Jong, T., Rivolta, D., Sauer, A., Grube, M., Singer, W., Wibral, M., Uhlhaas, P.J. MEG-measured visually induced gamma-band oscillations in chronic schizophrenia: Evidence for impaired generation of rhythmic activity in ventral stream regions. Schizophr Res. doi: 10.1016/j.schres.2016.06.003
- Uhlhaas, P.J., Singer, W. Oscillations and neuronal dynamics in schizophrenia: The search for basic symptoms and translational opportunities. Biological Psychiatry 15;77(12):1001-1009. doi: 10.1016/j.biopsych.2014.11.019. (IF: 9.5)
- email: Peter.Uhlhaas@glasgow.ac.uk, telephone: 01413308730
Discovering how the central nervous system functions normally and how it is affected by disease and injury present major challenges for biological and medical research in the 21st century. Over the last two decades there has been an explosion of interest in understanding the normal function of the brain illustrated by launching of the Human Brain Project and the Brain Initiative. In parallel the huge burden of neurological and psychiatric disorders on society and the current lack of effective treatments means there is an urgent need to develop new approaches.
The Institute of Neuroscience & Psychology (INP) has an interactive network that comprises four centres of excellence: Neuroscience, Stroke and Brain Imaging, Cognitive Neuroimaging and Social Interaction. Via their interactions, our centres aim to understand brain networks at multiple levels of function, from cells to cognition with a strong emphasis on imaging and computational analyses of each level. Our translational efforts are directed at a range of disorders including pain, stroke, spinal cord injury, neurodevelopmental disorder and schizophrenia.
Our staff and students have access to world-class imaging infrastructure and supporting high-performance computing facilities. This provides strong unifying technological and methodological links across the different centres of the INP, including a state-of-the-art platform of cognitive imaging in humans, a high field small bore animal scanner, dedicated confocal and electron microscopy facilities, as well as cutting edge equipment to measure dynamic social signals.
- Duration: 3/4 years full-time; 5 years part-time
A PhD programme in Neuroscience and Psychology is based on individual research projects covering an exciting range of topics including:
- non-invasive multimodal brain imaging using fMRI
- dynamics of auditory and visual processing
- functions of brain oscillations
- neuroendocrine effects on social interactions
- neuromodulation via TMS
- spinal cord and brainstem circuits in pain
- molecular mechanisms of synaptic transmission and plasticity
- neural control of respiration
- spinal cord injury
- rett syndrome
- imaging in acute stroke
- stroke clinical trial and design
- stem cells as treatment for stroke
- experimental stroke
- cortical circuits mediating perception and memory
- circadian rhythms
Integrated PhD programmes (4 years)
- Year 1: completion of taught Masters level modules
- Years 2 to 4: research degree
Completion of taught Masters level modules before entering a research PhD will provide you with a valuable introduction to academic topics and research methods, whilst providing key training in laboratory skills and the critical evaluation of research data.
Our ethos of research-led teaching will allow you to hone your research ideas and discuss these with potential PhD supervisors during year 1. Upon successful completion of the taught component, alongside students on our Masters programmes, you will progress to your research degree in year 2 and complete an examinable piece of independent research by the end of the programme.
Awarded or expected First-class or high Upper Second-class BSc degree.
Integrated PhD programmes
Upper Second-class honours degree or international equivalent in a relevant subject area.
English Language requirements for applicants whose first language is not English.
Fees and funding
- £4,327 UK/EU
- £21,020 outside EU
Prices are based on the annual fee for full-time study. Fees for part-time study are half the full-time fee.
Additional fees for all students:
- Re-submission by a research student £500
- Submission for a higher degree by published work £1,250
- Submission of thesis after deadline lapsed £320
- Submission by staff in receipt of staff scholarship £730
- Research students registered as non-supervised Thesis Pending students (50% refund will be granted if the student completes thesis within the first six months of the period) £300
Depending on the nature of the research project, some students will be expected to pay a bench fee (also known as research support costs) to cover additional costs. The exact amount will be provided in the offer letter.
A 10% discount is available to University of Glasgow alumni. This includes graduates and those who have completed a Junior Year Abroad, Exchange programme or International Summer School at the University of Glasgow. The discount is applied at registration for students who are not in receipt of another discount or scholarship funded by the University. No additional application is required.
- £4,260 UK/EU
- £20,150 outside EU
Prices are based on the annual fee for full-time study. Fees for part-time study are half the full-time fee.
Additional fees for all students:
- Submission by a research student £480
- Submission for a higher degree by published work £1,200
- Submission of thesis after deadline lapsed £300
- Submission by staff in receipt of staff scholarship £680
- Research students registered as non-supervised Thesis Pending students (50% refund will be granted if the student completes thesis within the first six months of the period) £270
Depending on the nature of the research project, some students will be expected to pay a bench fee to cover additional costs. The exact amount will be provided in the offer letter.
The College of Medical, Veterinary and Life Sciences Graduate School provides a vibrant, supportive and stimulating environment for all our postgraduate students. We aim to provide excellent support for our postgraduates through dedicated postgraduate convenors, highly trained supervisors and pastoral support for each student.
Our overarching aim is to provide a research training environment that includes:
- provision of excellent facilities and cutting edge techniques
- training in essential research and generic skills
- excellence in supervision and mentoring
- interactive discussion groups and seminars
- an atmosphere that fosters critical cultural policy and research analysis
- synergy between research groups and areas
- extensive multidisciplinary and collaborative research
- extensive external collaborations both within and beyond the UK
- a robust generic skills programme including opportunities in social and commercial training
Many of our project supervisors have strong academic connections with international collaborators in universities and research institutes across the world. Funds are available through the college of Medical, Veterinary and Life Sciences to allow visits to international laboratories where part of your project can be carried out, if you and your supervisor decide this would enhance your research and training. This provides an excellent opportunity for networking and increasing your scientific knowledge and skill set. Some supervisors also have strong links with industry. The university organises an open day to highlight career opportunities in industry related to our research.
We offer a wide range of cutting-edge research facilities. Our imaging centre is equipped with state of the art technology for multimodal human brain imaging (fMRI, MEG, TMS and EEG) with sophisticated analysis methods to study the functioning of the human brain. In the near future we will extend these facilities to include the unique Imaging Centre of Excellence at the new South Glasgow University Hospital which will include a world-leading £7m ultra high-field MRI scanner, a facility which will be unique in the UK.
Our laboratories have a wide range of resources and technical expertise for studies in experimental systems using cell culture, confocal microscopy, gene therapy, electrophysiology, 7 Tesla small bore experimental MRI, behavioural assessment.
How to apply
Identify potential supervisors
All Postgraduate Research Students are allocated a supervisor who will act as the main source of academic support and research mentoring. You may want to identify a potential supervisor and contact them to discuss your research proposal before you apply. Please note, even if you have spoken to an academic staff member about your proposal you still need to submit an online application form.
You can find relevant academic staff members with our staff research interests search.
Gather your documents
Before applying please make sure you gather the following supporting documentation:
- Final or current degree transcripts including grades (and an official translation, if needed) – scanned copy in colour of the original document
- Degree certificates (and an official translation, if needed): scanned copy in colour of the original document
- Two references on headed paper (academic and/or professional).
- Research proposal, CV, samples of written work as per requirements for each subject area.
To complete your application we will need two references (one must be academic the other can be academic or professional).
There are two options for you to submit references as part of your application. You can upload a document as part of your application or you can enter in your referee’s contact details and we will contact them to request a reference.
Option 1 – Uploading as part of the application form
Your references should be on official headed paper. These should also be signed by the referee. You can then upload these via theOnline Application form with the rest your documents to complete the application process.
Please be aware that documents must not exceed 5MB in size and therefore you may have to upload your documents separately. The online system allow you to upload supporting documents only in PDF format. For a free PDF writer go to www.pdfforge.org.
Option 2 - Entering contact details as part of the application form
If you enter your referees contact details including email on the application form we will email them requesting they submit a reference once you have submitted the application form. When the referee responds and sends a reference you will be sent an email to confirm the university has received this.
After submitting your application form
Use our Applicant Self Service uploading documents function to submit a new reference. We can also accept confidential references direct to firstname.lastname@example.org, from the referee’s university or business email account.
Once you have all your supporting documentation you can apply through our Online Application System
I've applied. What next?
If you have any other trouble accessing Applicant Self-Service, please see Application Troubleshooting/FAQs.
If you are requested to upload further documents
Log into the Applicant Self Service and scroll down to the Admissions Section. The screenshot below indicates the section on the page, and the specific area you should go to, highlighted in red:
Documents must be uploaded in .jpg, .jpeg or .pdf format and must not exceed 5MB in size. There is a maximum 10MB upload size for all documents with the application.
Once a decision has been made regarding your application the Research Admissions Office will contact you by email.
If you are made an unconditional offer
You can accept your offer through the Applicant-Self-Service by clicking on the ‘Accept/Decline link’ for your chosen programme under the ‘Admissions Section’ at the bottom of the Applicant Self Service screen. You can access the Applicant Self Service by using the link, username and password you used to apply and selecting the “Self Service” button below your application.
Please make sure you accept your unconditional offer within 4 weeks of receiving your offer. If you are an international student your CAS will not be issued until you have accepted an unconditional offer.
If you are made a conditional offer
If you accept a conditional offer then the offer status on Applicant-Self-Service will change to ‘incomplete’ to indicate that the application is incomplete until such time as all the conditions are met.
Your offer letter will list all the conditions that apply to your offer and you can upload the required document(s) through Applicant Self Service. If you have met the conditions satisfactorily, you will automatically be sent an unconditional offer.
If your application is unsuccessful
If your application is unsuccessful then we will send you an email to inform you of this which will outline the reason why we have been unable to offer you a place on this particular programme. Please note that your application status will be updated to 'Cancelled' on Applicant Self Service if the offer is rejected.
Deferring your offer
If you want to defer your start date, please contact us directly at email@example.com. We need authorisation from your supervisor before we confirm your request to defer. Once we have this we will contact you by email to confirm.
How to register
After you have accepted an unconditional offer you will receive an email nearer to the start of your studies to tell you how to register online using the University's MyCampus website, the University’s student information system. That email will provide you with your personal login details and the website address. Please ensure that your email address is kept up to date as all correspondence is sent via email. You can update your email address through the Applicant Self Service Portal under the Personal Information section.
- If you have any questions about your application before you apply: contact our College of Medical, Veterinary and Life Sciences Graduate School
- If you have any questions after you have submitted your application: contact our Admissions team
- Any references may be submitted by email to: firstname.lastname@example.org
- Advice on visa, immigrations and the Academic Technology Approval Scheme (ATAS) can be found on our International student pages