|Salary:||£38,304 to £40,414 per annum, including London Weighting Allowance|
|Placed On:||8th April 2021|
|Closes:||5th May 2021|
Contact details: Professor Paramala Santosh, email@example.com
Denmark Hill Campus
The ideal candidate will play an integral role in supporting Professor Santosh who heads the Centre for Interventional Paediatric Psychopharmacology and Rare Diseases (CIPPRD) at the Maudsley Hospital, London and the Centre for Personalised Medicine in Rett Syndrome (CPMRS) at King's College London. The role is looking for an expert in machine learning to assist Professor Santosh in extracting value from anonymised clinical data. The candidate will be expected to lead on all the processes from data collection, data management and training models. This would also include being able to develop algorithms using web and sensor-based data that can assist medication decision making in patients with complex multi-morbidity.
The role also offers a unique opportunity for the suitable candidate to be directly involved in the development and modification of biometric sensors and would appeal to someone who has a strong background in algorithm development and expertise in developing and extensive testing of hardware.
This role would be suited to a highly motivated individual with excellent technical skills that has the willingness to work within a multi-disciplinary clinical and research team that is using healthcare analytics to make a translational impact on the patient care pathway. The candidate would be passionate about artificial intelligence and deep learning, and stay up-to-date with the latest developments in the field. Candidates should have a PhD (or will shortly be assessed for a PhD) in Machine Learning, Computer Science, Mathematics, Statistics or other relevant discipline.
This post will be offered on an a fixed-term contract for 12 months.
This is a full-time post.
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.
Skills, knowledge, and experience
Type / Role: