About Us
A post-doctoral research associate position in data science is available at King's College London, funded by the National Institute for Health Research (NIHR). King's College London is a world-leading institution with cross-cutting interdisciplinary working. The King's Centre for Lung Health is located at the Guy's Campus of King's College London.
About the role
This is an exciting new role, funded by the National Institute of Health Research, suited to an enthusiastic person to join the group of Professor Mona Bafadhel in the King's Centre for Lung Health to focus on digital technologies to predict lung health. The post holder will be responsible for protocol development, supported recruitment and analysis of a study examining how digital technology can diagnose COPD, including grant writing.
We are looking for someone with a background in computer/data/mathematical science to be dedicated to a project to deliver digital technology, to predict lung health using individual level data integrating with electronic medical records. The post holder will support the principal investigator and collaborators to conduct research as set out by the objectives of the award and to develop further techniques across modelling lung health. Involved in the project will include continually updating knowledge and understanding in the field, translating advances into research activity and writing research reports and materials ready for dissemination, including but not limited to group meetings, national and international conferences and publications. The post-holder will also work closely within the group and support and supervise undergraduate and postgraduate students.
This is a full-time post (100% full time equivalent), and you will be offered a fixed term contract until 06 March 2027.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential criteria
1. PhD awarded in Computer Science, Machine Learning, Biomedical Engineering, Mathematics, or a related subject area *
2. First or Second-Class Honors in mathematics, physics, biomedical engineering or a related subject
3. Advanced programming skills in Python/Matlab/C++
4. Excellent communication and team working skills, both written and verbal
5. A solid research background in a relevant field, supported by published peer-reviewed work
6. Ability to work independently and as part of a team
7. Ability to contribute ideas for new research projects and/or evidence of research income generation
* Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.
Desirable criteria
1. Experience in facial recognition and image analysis, particularly with low-resolution images
2. Experience in deep learning frameworks such as PyTorch.
3. Experience with software development
4. Experience of student supervision
Application Process
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.
We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK. #J-18808-Ljbffr