Machine Learning PhD Programme (MLPP)
Singapore/Beijing
0 Year
Bachelor
Make a meaningful impact
Make a positive contribution to hospitals and patients through AI.
Learn and master
The opportunity to work with, learn from and share knowledge with uber- smart colleagues in a culture of collaboration and technical excellence. We groom our employees and make sure that they stay at the cutting edge of the technology stack.
Performance Incentives
Competitive pay with share award for top performers.
Progression Path
Well-defined tech career progression path.
Who Will Impress Us
A strong technical individual with a geeky background like Computer science, Physics, Mathematics who loves programming, solves tough problems, fascinated by Maths and Physics and has a burning desire to build machine learning models.
Machine learning background is not a requirement.
The Candidate
Our aim is to align you with the activities which truly interests you, stretches you technically and helps you grow and impact on billions of patients.
Some of the things you will learn:
- Innovate novel models that solve real world problems in the healthcare domains.
- The models can be forecasting, generative, discriminative, autoregressive, regressive and/or a
combination of the above. - Work on huge medical datasets from CT, MRI, PET-CT, SPECT-CT, Ultra-sound, X-Ray, Biopsy and many others that encompass over 50 medical disciplines.
- Collaborate with the best data scientists in the region, top medical practitioners from prestigious hospitals and top deep learning researchers and advisors from around the world including Harvard and MIT.
- Ample research and publication opportunities in the widely coveted arena where AI intersects healthcare.
Desired Education
Bachelors or Masters in Engineering, Computer Science, Mathematics or Physics.
Note: You shall upon your successful completion of the MLPP PROGRAMME (that is, from the date of the release of the results of the final year examinations of your Programme), continue to serve the Company for a period of three (3) years.
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