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Postdoctoral Research Associate in Transdiagnostic Artificial Intelligence

King's College London - Psychosis Studies

Location: London
Salary: £4,031 to £52,514 per annum, including London Weighting Allowance
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 23rd October 2025
Closes: 16th November 2025
Job Ref: 128565
 

About us

King’s College London is a world-renowned university that delivers exceptional education and world-leading research. We're committed to creating positive and sustainable change in our local and global communities through outstanding education, impactful research, and genuine service to society.

The Institute of Psychiatry, Psychology & Neuroscience (IoPPN) is a leading centre for mental health and neuroscience research in Europe and the largest in the UK. From its earliest years, the IoPPN has been fundamentally changing and shaping how we understand, prevent and treat mental illness and other conditions that affect the brain. The legacy, ethos and drive of the IoPPN has ensured its position at the forefront of mental health care, redefining mental illness, its treatment and its place in society.

The Department of Psychosis Studies is one of the world’s leading centres for research into psychotic disorders. It is part of the School of Academic Psychiatry. Our mission: we aim to advance the understanding and treatment of psychotic disorders across all stages to improve the lives of patients and their families. Our ethos: we take an inclusive approach that respects diverse opinions and backgrounds and includes patient and carer views to support staff and students in our mission. Our staff include clinical and non-clinical scientists with a wide range of expertise. Their research has been recognised by over 100 research awards, and multiple members of staff have been named by Web of Science as amongst the leading researchers in the world in psychiatry/ neuroscience. We have many research programmes involving national and international partnerships, often with our department acting as the lead site in multi-centre collaborations. 

We have been identified as the leading schizophrenia research institution in the world based on impact. Our findings have influenced national and international guidelines and policies to improve the care of people with psychosis. 

About the role

We are seeking a highly motivated postdoctoral researcher to join the Department of Psychosis Studies at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King’s College London. This is an exciting opportunity to join the Artificial Intelligence in Mental Health Lab with Dr Paris Alexandros Lalousis and Professor Nikolaos Koutsouleris and work at the intersection of AI, neuroscience, and mental health, contributing to cutting-edge efforts to predict and understand psychosis and affective disorders.

We welcome applicants with a background in psychology, psychiatry, biomedical engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging (structural and functional MRI, spectroscopy, PET), omics (genomic, proteomic, cytokine markers), and digital phenotyping (ecological momentary assessments, passive sensing).

In addition, the postholder will play a key role in building a predictive modelling platform within the Department, designed to host, test, and deploy machine learning models for transdiagnostic comparisons, external validation, and eventual integration into stratified clinical trials.

Fixed term contract until 30/06/2028.

Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information.

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