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PhD Neuroimaging (Part-Time)

 Course Level
PhD
 Type
Part Time

 Duration
6 Years
 Start month
October

 Tuition fee

International
20000 GBP
National
5460 GBP
EU
5460 GBP

Application fee

International 0 GBP
National 0 GBP
Department
Department of Neuroimaging
Scores accepted
IELTS (min)6.5
TOEFL-IBT (min)92
27

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About this course

Number of academic staff: 13.

Number of research students: 15.

Neuroimaging at the IoP is world-renowned. The Department of Neuroimaging is embedded in the Centre for Neuroimaging Sciences, a joint venture between the IoP and the South London and Maudsley NHS Foundation Trust (SLaM). The Centre provides, under one roof, an interdisciplinary research environment that combines the development of high resolution structural, functional and metabolic mapping techniques, with expertise in the definition, diagnosis and treatment of neurological and psychiatric disorders. The CNS houses dedicated GE Signa HD.x MRI scanners (one 1.5T and two 3T, with direct access to an additional 3T), capable of performing functional, spectroscopic, anatomical and pathological mapping techniques. A 7T pre-clinical MRI system is based at the James Black centre on the Denmark Hill Campus.

Current research projects span neurodegeneration, epilepsy, stroke, pain, psychosis, affective disorders, developmental disorders and normal brain function, using a battery of neuroimaging techniques which include perfusion, diffusion, functional and structural imaging. Complementary research in imaging physics and analysis supports these applications.

Basic scientific research is also performed in models of neuropsychiatric disease, again using a diverse array of neuroimaging techniques, including pharmacological MRI and spectroscopy techniques. In conjunction with non-MR methods such as microscopy and autoradiography, this multifaceted approach enhances our understanding of the patho-physiological mechanisms underlying disease and informs the development of novel therapeutic interventions. In addition, improved understanding of the biological processes that underlie MR signal changes advances the crucial role of MR in non-invasive assessment of neuropsychiatric disease.

Our long-term objective is to translate our on-going pre-clinical developments in neuroimaging to the clinic, improving diagnosis and treatment of psychiatric and neurological diseases.

Check further details on University website

Eligibility Criteria

Bachelors degree with 2:1 honours (or overseas equivalent). A 2:2 degree may be considered only where applicants also offer a Masters with Merit.

Qualifications which have been gained outside the UK will be checked by the Admissions Office to establish equivalency with these standards before an offer is sent and applicants will need to demonstrate at interview that their background and experience, general education and scholarship are appropriate.

All applicants need to possess an adequate level of English proficiency.

Applicants not applying for an advertised studentship must attached confirmation of support from your proposed supervisor to your application. For further information please contact the Admissions Office Postgraduate (Health) team at [email protected]

English language requirement:

  • IELTS: 6.5
  • TOEFL-IBT: 92

Check further details on University website

Course Modules

Description

In 1994 the Institute of Psychiatry (IoP) and Maudsley Hospital (now both part of King’s Health Partners) joined forces to bring into service their first high performance MRI scanner for both cutting edge research and advanced clinical applications. Nearly twenty years later, Neuroimaging has grown into one of the most successful groupings at the IoP, with more than a thousand peer-reviewed publications, world-class teams of academic physicists and methodologists at the forefront of new developments, and with a dedicated Wellcome Trust funded state-of-the-art building, the Centre for Neuroimaging Sciences (CNS) shared with the clinical neuroimaging department of South London and Maudsley NHS Trust.

Today the CNS houses a thriving community of academics, clinicians, students and technicians, and is at the heart of the Department of Neuroimaging. We collaborate extensively within King’s College London (KCL), the South London & Maudsley NHS Foundation Trust (SLaM) and King’s Health Partners, with clinical, scientific and industrial collaborators from all over the world. The Department of Neuroimaging also houses the Preclinical Imaging Unit (PIU), comprising state-of-the-art purpose built MR research facilities for preclinical experimental research and fully equipped to study a variety of disease models. The current grant income for the Department of Neuroimaging is in excess of £15 million.

The CNS houses dedicated GE Signa HD.x MRI scanners (one 1.5T and two 3T, with direct access to an additional 3T), capable of performing functional, spectroscopic, anatomical and pathological mapping techniques. A 7T pre-clinical MRI system is based at the James Black centre on the Denmark Hill Campus.

Current research projects span neurodegeneration, psychosis, affective disorders, developmental disorders, epilepsy, stroke and normal brain function using a battery of neuroimaging techniques including perfusion, diffusion, functional and structural imaging. The CNS is also at the forefront of physics and methodological development, including research on new scanning techniques and on new data analysis methods, such as machine learning.

Our overall long-term objective is to translate ongoing clinical research pre-clinical developments in neuroimaging to the clinic, improving diagnosis and treatment.

More information about the CNS, the James Black centre and the Department of Neuroimaging can be found online at http://www.kcl.ac.uk/iop/depts/neuroimaging/index.aspx

Course study environment

Graduate research students work closely with their supervisors and enjoy regular meetings to discuss their progress. They also liaise with other members of staff with relevant research interests and are encouraged to attend and participate in departmental research presentations and other Institute seminars. There is a full induction for new graduate students on commencing their studies. Each full-time graduate research student is allocated their own workspace and computer; facilities for part-time students can be arranged according to their needs.

Postgraduate training

Training courses run by the department, the Institute or through the Graduate School can be utilised as required to provide training in a wide variety of topics, from transferable skills to academic areas directly relevant to the student's thesis. Of particular interest is the MSc Neuroimaging, also run by the Department of Neuroimaging and our graduate research students are welcome to attend the MSc lectures. King's runs an outstanding Researcher Development Programme, which is designed to meet the individual training needs of research students. The programme has been developed to ensure we produce the most qualified, experienced and employable researchers.

Head of group/division

Professor Steve Williams

Contact for information

[email protected] +44 (0) 20 7848 3228 3052

Contact email

[email protected]

Course website

http://www.kcl.ac.uk/iop/depts/neuroimaging/index.aspx

Check further details on University website

How to Apply

Application procedure

Please see http://www.kcl.ac.uk/iop/research/pgr/apply.aspx for details.

Personal statement and supporting information

No information required.

Course intake

No set number.

Application closing date

The deadline for applications is detailed below for 2016 entry. Prior to these dates all applications will be given equal consideration and considered on their individual merits. After these dates applications will be considered subject to the availability of places, thus we encourage you to submit your application as soon as possible. Please note that funding deadlines may be earlier.

June 2016 entry - Application Deadline 01 March 2016

October 2016 entry - Application Deadline 23 May 2016

February 2017 entry - Application Deadline 01 November 2016

Check further details on University website

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