Postdoctoral Fellow - Applied Mathematics & Statistics

Johns Hopkins University • Baltimore, MD

1d • Onsite

About The Position

The Johns Hopkins University’s Department of Applied Mathematics and Statistics invites applicants for the position of Postdoctoral Fellow in the lab of Professor Shiqian Ma. Candidates must have completed their Ph.D. prior to their appointment start date, and no later than 01/01/2027 and show definite promise in research and teaching. This position may include a teaching load of one course per year, depending on funding and needs of the department, so that the appointee will have ample time for research. The appointment is for one year, with possibility of renewal, depending on funding availability. The successful candidate will be expected to collaborate with Professor Shiqian Ma on mathematical foundations and optimization of modern machine learning and AI. Particular interests include the theory and design of adaptive algorithms, methods, exploiting geometric structures in optimization, and optimization algorithms motivated by the training of large-scale machine learning models.

Requirements

• Completed Ph.D. prior to appointment start date, and no later than 01/01/2027.
• Definite promise in research and teaching.
• Strong background and demonstrated research experience in machine learning and optimization.
• Submission of an AMS standard coversheet.
• Submission of a curriculum vitae.
• Submission of a description of research interests.
• At least three letters of recommendation submitted.

Responsibilities

• Collaborate with Professor Shiqian Ma on mathematical foundations and optimization of modern machine learning and AI.
• Conduct research in areas such as adaptive algorithms, methods exploiting geometric structures in optimization, and optimization algorithms motivated by the training of large-scale machine learning models.
• Potentially teach one course per year, depending on funding and departmental needs.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree