Important Info
For inquiries and submitting the required material please contact: ivanam@stanford.edu with the subject: Application for a Postdoctoral Fellowship.
We are looking for a scholar with research interests in applications of machine learning to health, interested to pursue a Postdoctoral Fellowship at Stanford University, School of Medicine in Palo Alto, California. The Scholar would work on a project with a team of Stanford faculty with expertise in maternal and infant health, and global health. The project provides a unique opportunity to apply advanced machine learning and artificial intelligence approaches to analyze data from multi-site cohorts of mothers and infants, with an aim to develop relevant prediction models to improve maternal and infant health globally, including in low-resource settings.
The fellowship is a one-year appointment, with an option to extend. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.
1. Ph.D. in an analytical field with research experience in developing/applying machine learning models.
2. Excellent publication record.
3. Interest in medicine and biology. No previous expertise in life sciences or global health is necessary.
1. Curriculum vitae
2. Cover letter describing research background and interests.
References will be requested later during the recruitment process.