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SalaryFounded in 1894, City, University of London is a global university committed to academic excellence with a focus on business and the professions and an enviable central London location.
City attracts around 20,000 students (over 40% postgraduate level) from more than 150 countries and staff from over 75 countries.
In the last decade, City has almost tripled the proportion of its total academic staff producing world-leading or internationally excellent research. During this period, City has made significant investments in its academic staff, its estate and its infrastructure and continues to work towards realizing its vision of being a leading global university.
The culture at City is built on our shared core values, which means that all employees are expected to behave according to our values: “We care, We learn, We act.”
Background
The Computational Neuroscience and Psychiatry Lab (www.pinotsislab.com) at City—University of London is looking for a Research Assistant (RA) 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 Research Assistant will analyze human data in collaboration with other researchers and partners locally and internationally. S/he will also collect data recorded during cognitive neuroscience studies and contribute to manuscripts presenting findings that will be submitted in peer-reviewed journals/scientific conferences.
Person Specification
The RA shall conduct research at the intersection of brain imaging and machine learning. She or he will build computational tools using state of the art machine learning algorithms. The position has an initial duration of five and a half months .
The successful candidate should have a BSc in computer science, maths, engineering, psychology, computational neuroscience, engineering or a related field. Experience with Dynamic Causal Modeling is an advantage.
Additional Information
City offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development.
The role is available from 1st April 2024 or earlier by negotiation.
Closing date for applications: 11th February 2024 at 11:59pm.
Interviews are scheduled for end of February 2024.
City, 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 operates a guaranteed interview scheme for disabled applicants.
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