Current Employment Opportunities
Position Description
Johns Hopkins University is going through a major new investment in data science and AI. The investment will add 150 new faculty positions, including 30 Bloomberg Distinguished Professorships. The University has established a new Data Science and AI Institute. A new half-million square foot building and an unparalleled computational infrastructure is being planned.
The Department of Applied Mathematics and Statistics, invites applications for tenured or tenure-track faculty positions in all areas of the Mathematical Sciences. Preference will be given to candidates whose research has made an impact on data science, machine learning, and artificial intelligence. Outstanding candidates at all academic ranks will be considered. We anticipate making multiple offers.
Candidates must hold a Ph.D. in Applied Mathematics, Statistics, or related fields, and will be expected to establish a strong, independent, multidisciplinary, and internationally recognized research program. Commitment to teaching excellence at the undergraduate and graduate levels, and a dedication to creating an inclusive and supportive educational environment for all students.
At Johns Hopkins, we value interdisciplinary collaboration. Faculty at the Whiting School of Engineering are united by a shared commitment to scientific discovery, teaching excellence, and transformative knowledge that contributes to the betterment of society. Successful candidates will find rich opportunities to engage with colleagues across the University, including the Data Science and AI Institute, the Mathematical Institute for Data Science, the SNF Agora Institute, the Carey Business School, Johns Hopkins School of Medicine, Krieger School of Arts and Sciences, Bloomberg School of Public Health, and Johns Hopkins Applied Physics Laboratory.
The expected salary range for this position is: Assistant Professors $150k-$200k, Associate Professors $180k-$245k, Full Professors $200k-$450k, for 12-month FTE. The referenced salary range is based on Johns Hopkins University’s good faith belief at the time of posting. The actual compensation offered to the selected candidate may vary and will be based on factors including, but not limited to, the experience and qualifications of the selected candidate – e.g., years in rank, training, field, discipline, other work experience, and other similar factors; geographic location; internal equity; external market conditions; and other factors as reasonably determined by the University.
Diversity, equity and inclusion are integral values of the Department and University. Accordingly, the Department seeks candidates who can contribute to racial equity, diversity, and inclusion through service, mentorship, teaching, and scholarship.
All applicants should submit their application online at
http://apply.interfolio.com/154032
Electronic applications should include a cover letter describing the principal expertise of the applicant, a statement of teaching interests, a statement of research interests, a complete resume, and a publication list. Diversity statement is optional. Applications at the Assistant Professor level should also include at least three reference letters. Applications at the Associate or Full Professor levels need not include reference letters or names at this stage.
Diversity, equity and inclusion are integral values of the Department and University. Accordingly, the Department seeks candidates who can contribute to racial equity, diversity, and inclusion through service, mentorship, teaching, and scholarship.
Applications submitted by December 1, 2024, will receive full consideration. The department will begin reviewing applications on October 15, 2024 and may take early action to schedule fall semester interviews.
The Johns Hopkins University is an equal opportunity/affirmative action employer that actively encourages interest from minorities and women and is committed to recruiting, supporting, and fostering a diverse community of outstanding faculty, staff, and students. All applicants who share this goal are encouraged to apply. The Johns Hopkins University is an EEO/AA Employer.
Equal Employment Opportunity Statement
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
Johns Hopkins offers a total rewards package that supports our employees’ health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.
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 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.
Pre-Employment Information
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit accessibility.jhu.edu.
Background Checks
The successful candidate(s) for this position will be subject to a pre-employment background check including education verification.
EEO is the Law:
https://www.eeoc.gov/sites/default/files/2023-06/22 088_EEOC_KnowYourRights6.12ScreenRdr.pdf
Vaccine Requirements
Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.
The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
Position Description
The Department of Applied Mathematics and Statistics at Johns Hopkins University seeks applications for a teacher’s assistant. The department brings in many students (undergraduates and graduate students) each semester to help faculty in a course with holding recitation sections, grading papers, holding office hours, and under very special circumstances a TA might lecture the class. We seek students who have good grades in the class or related classes.
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.
Applicants should apply using https://taassignment.ams.jhu.edu
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.
The Johns Hopkins University’s Department of Applied Mathematics and Statistics invites applicants for one or more positions as Postdoctoral Fellow. Candidates must have completed their Ph.D. prior to their appointment start date, and no later than 08/30/2026, and show definite promise in research and teaching. The teaching load will be at most one course each semester, and often as little as one course per year, depending on funding and the needs of the department, so that the appointee will have ample time for research. The appointment is for two years, with the possibility of renewal, depending on funding availability.
The successful candidate will work with Professor Nicolas Loizou on foundational and algorithmic aspects of min-max optimization, with applications to machine learning, artificial intelligence, and large-scale reinforcement learning. The project focuses on developing new mathematical foundations and efficient algorithms tailored specifically to min-max problems, moving beyond the traditional paradigm of adapting minimization methods to saddle-point settings. Research directions include stochastic min-max optimization, accelerated and anchor-type methods, alternating-update strategies, proximal–gradient-type algorithms, nonconvex min-max optimization, efficient sampling schemes, and applications to training deep neural networks. The ideal candidate will have a strong background in optimization, applied mathematics, probability, theoretical machine learning, or computational mathematics, with demonstrated interest in the analysis and design of modern large-scale learning algorithms.
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.
Applicants should apply using: https://apply.interfolio.com/184958
Additionally, the candidates should contact Professor Loizou via email (nloizou@jhu.edu), with a message containing “ Postdoc_JHU_OptML_Lab” in the subject line, discussing any potential overlap of research interests with Professor Loizou.
Applications received by 06/15/2026 will be guaranteed full consideration; early application is advisable.
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.
Living in Baltimore
We’re bringing the best minds in tech and innovation to Johns Hopkins University and the Baltimore metropolitan area. With its rich history and vibrant cultural scene, Baltimore and its suburbs have so much to offer. Top schools, acclaimed restaurants, and diverse housing options make this a wonderful place call home.