King's College London

Research Associate (Machine Learning)

Reference: THW/17/059639/000386
Salary Details: £32,958 to £36,001 per annum
Allowances: Plus £2,623 London Allowance
Contract Type: Temporary/Fixed term
Contract Term: Full time

The purpose of the role is to perform novel research into motion correction in PET-MR imaging.
The person appointed to the role will be expected to work under the supervision of the grant principal investigator, Dr A. King, and in collaboration with colleagues at King’s.

The work will involve developing novel techniques, publishing in high impact journals and presenting findings at international conferences.
Key responsibilities and objectives of the job:

• To perform novel research into the use of dimensionality reduction techniques to analyse motion-corrupted MR and/or PET data

• Algorithm development and implementation using e.g. MatLab or C++

To work effectively as part of a team comprising technical and clinical collaborators from King’s College London

• To research, collate and analyse information for publication and presentation at international conferences
The position is offered on a fixed term contract until 31 July 2018
Equality of opportunity is College policy.


The selection process will include competency based questions, a presentation, and a panel interview.
Interviews are scheduled to be held the week commencing: end of April 2017

For an informal discussion to find out more about the role please contact Dr Andy King Andrew.king@kcl.ac.uk

To apply for this role, please go to the King’s College London HireWire Job Board and register to download and submit the specified application form.

The deadline for applications is midnight on 9 April 2017

Closing date: 09 April 2017

Attachments:
Job pack | (Word Document 283k)

If you have questions about this role, please contact: Andy King, Dr, Email: andrew.king@kcl.ac.uk,

Application form:


Note: Only one document can be uploaded. If you wish to submit any additional information please include it within the application form.
Download Academic and Research Application Form