Jointly funded by industry/lab partners and the department, the fellowships begin July 1, 2023, and can be renewed for up to a total of two years. The postdocs will devote 50% effort to projects onsite at the collaboration partner entity and 50% effort on their own research and teaching under the mentorship of a Johns Hopkins University faculty. The teaching load associated with this position is three courses over two years. The position offers a competitive salary with funds for professional development.

Required Qualifications:

A Ph.D. in mathematics, applied mathematics, statistics, biostatistics, operations research or related areas by the start of the appointment.

• Strong programming skills -- proficiency in one or more programming languages, familiarity with others.

• Excellent interpersonal, presentation, and written skills.

The Department of Applied Mathematics and Statistics values diversity and inclusion as essential to achieving excellence. We especially encourage applications from those belonging to groups traditionally underrepresented in the mathematical sciences.

Consideration of applications will begin on January 5, 2023, until the positions is filled. Applicants should apply using http://apply.interfolio.com/114591

Submit the relevant materials (a cover letter that describes the candidate’s motivation for seeking the position and career goals, CV, a concise description of research interests and goals, a teaching statement that includes a discussion of the applicant's experience with or ideas for teaching in a diverse and inclusive classroom and three letters of recommendation, with at least one letter addressing the applicant's teaching abilities) online.

An important part of the application is the research statement which should not only outline your research interests and goals, but should also explain why the AMS Collaboration Postdoctoral Fellowship would be valuable for the candidate’s interests and goals.

Equal Employment Opportunity Statement

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 characteristic. 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 that are irrelevant to the program involved.