PhD Studentship: Prediction of Treatment of Mentally-Disordered Offenders

Job title:

PhD Studentship: Prediction of Treatment of Mentally-Disordered Offenders

Company:

Brunel University London

Job description

College of Health, Medicine and Life SciencesFunding for the Executive Dean’s PhD Studentship. A Comprehensive Characterisation of Mentally-Disordered Offenders and Prediction of Treatment OutcomesCollege / DirectorateCollege of Health, Medicine & Life SciencesDepartmentDepartment of Life SciencesPosted Date25/03/2024Closing Date10/06/2024Ref No4359College of Health, Medicine and Life SciencesFunding for the Executive Dean’s PhD Studentship. A Comprehensive Characterisation of Mentally-Disordered Offenders and Prediction of Treatment OutcomesThe team of Prof Veena Kumari, Dr Ignazio Puzzo and Dr Rachael Bennetts at Brunel University London is offering a fully funded PhD studentship to comprehensively characterise clinical, cognitive and emotion processing profiles of mentally-disordered men and women with challenging behaviour residing in secure mental health facilities, and examine how these characteristics predict therapeutic engagement and clinical outcomes. This PhD project will help to identify therapy targets for certain patient groups who do not show good clinical outcomes with current treatment and management strategies.Based in and funded by the College of Health, Medicine and Life Sciences, this studentship offers a full-time annual London rate stipend estimated at £21,237 (including London weighting) and Home/EU tuition fees, for a maximum of 36 months.The Department of Life Sciences holds a Silver Athena SWAN Award and is committed to equality of opportunity and advancing women’s careers.The start date will be 1 October 2024.OverviewForensic mental health patients, the majority of whom have schizophrenia and/or antisocial personality disorder (ASPD), tend to have highly variable outcomes, with some experiencing lengthy stays and high rates of reoffending following discharge. Knowledge of the patient characteristics which are associated with good or poor clinical outcomes would serve to identify areas of unmet need and potential treatment targets. Throughout this doctoral programme, the student will develop proficiency in mental illness and personality disorder symptomatology assessment, neuropsychological testing, cognitive and experimental psychology methodologies, brain imaging techniques, and advanced statistical analyses.The selected candidate will receive comprehensive supervision from a team of expert researchers and clinicians with diverse backgrounds, ensuring thorough training for the research endeavour.For informal discussions, please contact Prof Veena Kumari on ( ))EligibilityCandidates should have an undergraduate degree (first or upper second class) or equivalent qualification in psychology or a related field. A Masters qualification in a relevant area is desirable but not essential. Previous Experience in mental health research, forensic psychology, neuropsychology, or cognitive neuroscience methods are desirable criteria. Applicants who have not been awarded a degree by a University in the UK will be expected to demonstrate English language skills to IELTS 7.0 (minimum 6.5 in any section).How to ApplyIf you wish to apply, please e-mail the following to by 10 June 2024.

• An up-to-date CV.
• A single-page A4 single-spaced personal statement describing why you are a suitable candidate (i.e. outlining your qualifications and skills).
• One example of your academic writing (e.g. an essay, a section from a dissertation).
• A summary of your teaching experience or your willingness to support teaching activities.
• Names and contact details for two academic referees.
• A copy of your highest degree certificate and transcript.
• A copy of your English language qualification, where applicable.

Short-listed applicants will be required to attend an interview week commencing 1 July 2024.For further information about how to apply, please contact the College of Health, Medicine and Life Sciences Postgraduate Programmes Office on .

Expected salary

Location

United Kingdom

Job date

Wed, 27 Mar 2024 00:59:12 GMT

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