Post Doctoral Research Associate

City St George’s, University of London is the University of business, practice and the professions and brings together the expertise and excellence of City, University of London and St George’s, University of London into one institution.

The combined university is one of the largest suppliers of the health workforce in the capital, as well as one of the largest higher education destinations for London students.

Combining a breadth of disciplines across health, business, law, creativity, communications, science and technology, we are creating a ‘health powerhouse’ for students, researchers, the NHS and partners in uniting a world-leading specialist health university. We are now one of the UK’s largest health educators, where staff and students have access to an expanded team of brilliant academic and professional services colleagues, combined resources and facilities and more interdisciplinary opportunities.

The merger creates opportunities to generate significant change in the world of healthcare including changes to treatment, population health monitoring, workforce development and leadership, policy, and advocacy.

Background

The Computational Neuroscience and Psychiatry Lab (www.pinotsislab.com) at City St George's, University of London is looking for a Post Doctoral Research Fellow with a background in Computational Cognitive Neuroscience.

The Lab focuses on developing new algorithms for the analysis of behavioral data and human and animal brain imaging data. Particular emphasis is put on applications in Computational Neuroscience and Psychiatry. The Lab develops brain theories that can explain brain function, using theoretical tools from deep neural networks and Bayesian brain theories. The lab also performs EEG recordings.

Responsibilities

The successful candidate will need to use computational biophysical modelling of EEG data – recorded from rodent models of excitation and inhibitory circuit dysfunction. You will also need to examine commonalities and differences in EEG responses in each circuit dysfunction across three separate EEG paradigms. You will also need to test whether dynamic causal modelling can correctly infer the basic circuit dysfunction, and if necessary update the model so that it can.

Person Specification

The successful candidate i required to have a PhD(or close to completing one) in computer science, maths, engineering, psychology, computational neuroscience, engineering or a related field. Experience with Dynamic Causal Modeling, cluster computing and MSc supervision is also needed.

Additional Information

Closing date: 12th November 2024 at 11:59pm.

To apply and for more information about the post please use the links below.

City St George’s offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development.

City St George’s, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors.

We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background.

City St George’s operates a guaranteed interview scheme for disabled applicants.

Regardless of where colleagues are working, City St George’s, University of London’s premises will be their primary and contractual place of work.

The University of business, practice and the professions.

Advert information