Postdoctoral Fellow - Applied Mathematics & Statistics

Economics Network; Baltimore, Northern (MD, KY); Hybrid; USD 64,000 - 100,000; Full time

Job summary

The Johns Hopkins University’s Whiting School of Engineering invites applications for a Postdoctoral Fellow in Applied Mathematics & Statistics in the lab of Professor Shiqian Ma. Candidates must have completed their Ph.D.

before their appointment start date and show promise in research and teaching. This one-year fellowship may include teaching up to one course per year, depending on funding, with potential renewal contingent on funding.

Qualifications

• 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.
• A strong background and demonstrated research experience in machine learning and optimization are required.
• Applicants are asked to submit (a) an AMS standard coversheet; (b) a curriculum vitae; (c) a description of research interests and have at least three letters of recommendation submitted.

Job description

Postdoctoral Fellow - Applied Mathematics & Statistics

Requisition #: A-192520-3
School: Whiting School of Engineering
Location: Baltimore, MD
Position Type: Postdoctoral Fellowship
Shift Type: Full Time
Salary Range: $63,840 - $100,000+
Closing Date: Open until filled

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. A strong background and demonstrated research experience in machine learning and optimization are required.

Applicants are asked to submit (a) an AMS standard coversheet; (b) a curriculum vitae; (c) a description of research interests and have at least three letters of recommendation submitted.

Salary Range

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

Total Rewards

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Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved.

Pre-Employment Information

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After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate's conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought.

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The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information.

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