Postdoctoral Research Associate - Machine learning and Big Data analysis

Updated: 26 days ago
Location: Strand, ENGLAND
Job Type: FullTime
Deadline: 21 Sep 2017

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Postdoctoral Research Associate - Machine learning and Big Data analysis

Reference: THW/17/059639/001071
Salary Details: £32,958 per annum
Allowances: Plus £2,623 London Allowance
Contract Type: Temporary/Fixed term
Contract Term: Full time

Applications are invited for a Postdoctoral Research Associate to join the Centre for Population Neuroscience and Precision Medicine (PONS) at the Institute of Psychiatry, Psychology and Neuroscience at King’s College London.
The post holder will analyse longitudinal datasets combining neuroimaging, genomics, psychological and behavioural measures and develop techniques for prediction of neurobehavioural / clinical outcomes using machine learning applied to Big Data. A specific aspect of the work will focus on the identification of predictors of eating disorders.
The post is a unique opportunity to work with a worldwide network of collaborators and develop cutting-edge approaches in a rapidly growing field of research, in one of the leading research environments in Europe and the world.
We are seeking a talented, energetic and highly motivated individual with a PhD in computer science, neuroimaging, imaging neuroscience, machine learning or a related discipline, and a strong methodological background and experience in neuroimaging methods, machine learning or multivariate statistics. He/she is expected to have a strong knowledge of programming and a deep familiarity with the application of statistical techniques to biological data.
The salary will be paid at Grade 6, £32,958 per annum, plus £2,623 per annum London Allowance.
Appointments made on the basis `thesis submitted` and without doctorate awarded, will be placed on grade 5 until the award date. Grade 5, £32,004 per annum, plus £2,623 London Weighting Allowance per annum.
This post will be Fixed Term Contract for 24 months. Further opportunities for research in the future will also potentially be available.
This is a Full-time position.
Interviews will be held shortly after the closing date.
The closing date for receipt of applications is 21 September 2017.
For detailed information for the post, please refer to the Job Pack.

Closing date: 21 September 2017

Job Pack | (Word Document 280k)

If you have questions about this role, please contact: Dr Sylvane Desrivières, Email: ,

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