Location: Denmark Hill Campus
Contact details: Prof Nikolaos Koutsouleris , nikolaos.koutsouleris@kcl.ac.uk
Job description
We are looking for a researcher with a background in psychology, psychiatry, biomedical engineering, physics, or a related discipline to join the Department of Psychosis Studies at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King’s College London, as Postdoctoral Research Associate.
The successful applicant will be expected to develop and use machine learning strategies to train and validate predictive models of psychosis and affective disorders using neuroimaging (e.g., structural, functional MRI, spectroscopy, PET) and digital phenotyping (e.g., ecological momentary assessments, passive sensing) datasets.
This post will be offered on an a fixed-term contract for 3 years
This is a full-time post - 100% full time equivalent
Key responsibilities
Research (70%)
- To develop and use machine learning strategies to train and validate diagnostic and prognostic models of psychosis and affective disorders using different neuroimaging (e.g., structural, functional MRI, spectroscopy, PET) and digital phenotyping (e.g., ecological momentary assessments, passive sensing) datasets.
- To explore the neuroimaging and digital phenotyping correlates of psychopathological and neurocognitive disease dimensions in psychotic and affective disorders.
- To help develop, set up and implement stratified clinical trials that test the utility of diagnostic, prognostic and predictive neuroimaging and digital phenotyping models compared to treatment-as-usual approaches.
- To prepare scientific reports for publication in peer-reviewed journals
- To support effective collaboration between different research teams at the IoPPN, and between the Chair’s IoPPN team and team members at the Department of Psychiatry and Psychotherapy at Ludwig-Maximilian-University Munich & Max-Planck Institute of Psychiatry in Munich.
- Active participation in project-related meetings and contributions to planning and engagement on key projects.
- The successful candidate will also be encouraged to develop grant and fellowship applications to establish themselves in this area of research in the long-term
Teaching (25%)
- Occasional teaching and supervision of postgraduate students will be encouraged
- To provide training, guidance, and support to junior research staff as appropriate.
Administration (5%)
To contribute to administrative duties as directed.
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.