Fully funded 4 year PhD - Clinical Psychology and Machine Learning - Birmingham

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Fully funded 4 year PhD - Clinical Psychology and Machine Learning - Birmingham

Post by miriam »

I'm the field supervisor for a new PhD at Birmingham University using BERRI data to look at a number of interesting research themes, using applied machine learning and neuroscience. The academic supervisors are Professor Peter Tino (computer science) and Dr Stephane de Brito (psychology). It is a four year, fully funded opportunity with a stipend starting at £19,237 (this is what you take home, it isn't taxed like a salary) plus all the fees are covered.

This PhD project aims to validate the efficacy of the BERRI tool in identifying early neurodevelopmental and mental health markers in children and adolescents, potentially predictive of adverse outcomes later in life. By leveraging machine learning techniques, the research seeks to elucidate the trajectory of symptom profiles over time and explore strategies for effectively mitigating identified risks across clinical, educational, and community settings.

You will spend at least one day per week within the clinical psychology team at BERRI, and can get involved in AP-like activities, including contributing to assessments, consultations, and improvements to the BERRI toolset, whilst the rest of your time will be university-based and focused on the four research strands that will lead to papers for publication and your PhD thesis.

While BERRI has demonstrated sensitivity and validity in assessing children known to social care services, its potential in clinical and community settings remains largely untapped. This PhD project aims to fill this gap through several linked studies:

1. Evaluations of CAMHS Referrals: Investigating the utility of BERRI in aiding triage choices for children referred to NHS CAMH services, with a focus on identifying those at risk and tracking their evolving needs over time.

2. Longitudinal Study of Maltreated Children: Examining longitudinal BERRI data for maltreated children to understand the impact of maltreatment on impulsivity and its relationship with behavioural and mental health challenges.

3. Neurodiversity and Mental Health Assessment: Analysing BERRI data for neurodiverse children and comparing it with diagnostic interviews to explore the relationship between neurodevelopmental, behavioural, and mental health needs, as well as associated risks.

4. Comparison of Maltreated and Community Samples: Investigating the relationship between maltreatment, neurodiversity, and mental health by comparing data from maltreated children with a non-maltreated community sample.

You can see the advert and how to apply here:

https://www.birmingham.ac.uk/research/c ... dolescents

https://www.findaphd.com/phds/project/u ... s/?p170717

I'm happy to answer questions on this thread or by PM, or you can email any of the supervisors through the links above.

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