About us
King's College London is one of the world's leading universities, renowned for its excellence in research, education, and clinical innovation. The Sleep and Brain Plasticity Centre, based within the Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), is at the forefront of cutting-edge sleep research, integrating neuroscience, computational modelling, and clinical applications to advance our understanding of sleep-related brain processes. Our work spans multiple disciplines, including memory research, neurology, psychiatry, headaches, and pain, providing a comprehensive framework for investigating the role of sleep in brain function and dysfunction.
About the role
King's College London invites applications for a highly skilled specialist to join our research team at the Sleep and Brain Plasticity Centre. The successful candidate will play a critical role in executing and finalising the bespoke SleepCity EEG project pipeline, contributing significantly to ongoing research in sleep neurophysiology and ensuring the continued success and advancement of our research initiatives.
You will contribute to the SleepCity EEG project, ensuring the successful execution and optimisation of our bespoke EEG research pipeline. The appointed candidate will play a central role in advancing our research initiatives, enhancing our capabilities in data processing, analysis, and interpretation of sleep EEG, and contributing to novel discoveries in sleep neuroscience.
This position requires expertise in sleep EEG processing and analysis, with a strong background in non-linear EEG methods, spectral analysis, and network-based approaches to sleep dynamics. The ideal candidate will have extensive experience in Python programming and be proficient in handling large EEG datasets using publicly available polysomnography (PSG) analysis software. A deep understanding of sleep phenotypes, graphoelements, and their functional role in sleep cycling is essential, as is prior experience working with EEG signal processing and computational modelling of sleep dynamics.
The role involves developing and optimising the EEG analysis pipeline, overseeing the successful analysis and management of large-scale sleep EEG datasets, and ensuring seamless coordination with key collaborators. The candidate will be expected to train and support team members in using EEG analysis protocols, deliver weekly progress updates to the line manager, and contribute to manuscript preparation, including methodology sections and data visualisation.
Given the complexity of our current bespoke EEG pipeline—from data acquisition and preprocessing to advanced analyses of sleep architecture and spectral parameters—the candidate's demonstrated experience in computational physics and dynamical systems modelling will be invaluable. Their strong programming background, including Python, C++, and Java, as well as their ability to work efficiently with shell scripting and remote server-based computational workflows, would be ideal in order to ensure they can fully integrate into the research team with minimal training. Their prior work in state-transition networks, scale-free spectral properties, and sleep EEG fractal dynamics would make them particularly well-suited to our ongoing projects.
This is a unique opportunity to contribute to pioneering research in sleep neurophysiology and EEG signal analysis within a leading academic institution. The position is ideal for a researcher with a strong computational background who is eager to apply their expertise in EEG processing, sleep science, and network-based analysis methods to a highly specialised research setting.
This post will be offered on a full-time, fixed term contract for 12 months.
About you
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential Criteria
1. Expertise in sleep EEG analysis, including spectral analysis, non-linear EEG methods, and network-based approaches to sleep dynamics.
2. Proficiency in Python programming, with experience in EEG signal processing and computational modelling of sleep architecture.
3. Demonstrated experience working with large-scale EEG datasets, including pre-processing, artefact correction, and statistical analysis.
4. Familiarity with polysomnography (PSG) data analysis, including publicly available EEG analysis software.
5. Background in computational physics, neuroscience, or biomedical engineering, with a strong understanding of dynamical systems and neural oscillations.
6. Ability to work with remote server-based computational workflows, including shell scripting, high-performance computing environments, and cloud-based EEG data processing.
7. Proven ability to manage research projects independently, ensuring timely completion of analyses and deliverables.
8. Strong collaborative skills, with experience coordinating with interdisciplinary teams, including neuroscientists, clinicians, and computational modellers.
9. Track record of contributing to scientific publications, particularly in sleep research, neuroimaging, or computational neuroscience.
Desirable Criteria
1. Experience with advanced EEG connectivity analyses, including graph theory and state-transition network modelling.
2. Knowledge of programming languages beyond Python, such as C++, Java, or MATLAB, for EEG and neuroimaging applications.
3. Familiarity with machine learning approaches for EEG data analysis.
Further information
We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.
We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
To find out how our managers will review your application, please take a look at our 'How we Recruit' pages.
We are not able to offer sponsorship for candidates who do not currently possess the right to work in the UK.
This post is subject to Disclosure and Barring Service and Occupational Health clearances. #J-18808-Ljbffr