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Assistant Professor

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The Department of Mathematics at Tulane University invites applications for a tenure-track position at the rank of Assistant Professor. We seek outstanding candidates with active research programs in the fields of probability or mathematical statistics. While methodological contributions are essential, we particularly welcome candidates whose work has interdisciplinary applications in the biological, medical, social, chemical, or physical sciences.

The Tulane Mathematics Department currently offers an MS in Statistics in addition to an MS in Data Science that is a joint program with the Tulane Department of Computer Science, and our flexible graduate program enables students to complete dissertations in all areas of pure and applied mathematics including statistics. The successful candidate will be expected to establish an internationally visible, externally funded research program; teach and mentor students effectively at the undergraduate and graduate levels; contribute to the Department’s academic mission and service activities; and participate actively in the intellectual life of the University. The current teaching load is one course per semester, although this may be subject to change depending on departmental needs.

Applicants must have a Ph.D. in statistics, mathematics or a closely related field by the start date of the appointment. Candidates should demonstrate exceptional promise in research with experience in classroom instruction. Postdoctoral experience is preferred but not required.

Tulane University is a leading private research university located in New Orleans, Louisiana. The Mathematical Department is part of the Tulane School of Science and Engineering, which offers a collaborative environment with substantial opportunities for interdisciplinary research and education. Our faculty members also regularly collaborate with researchers at the Tulane School of Medicine and the Celia Scott Weatherhead School of Public Health and Tropical Medicine.

Appointment is expected to begin August 1, 2027.

Application Instructions

Applicants should submit the following materials through Tulane University's online application system:

  • Cover letter describing research interests, teaching experience, and qualifications for the position.
  • Curriculum vitae (CV).
  • Research statement.
  • Teaching statement.
  • Four letters of recommendation, including one addressing teaching.

Review of applications will begin on November 15th and continue until the position is filled. To receive full consideration, applications should be submitted by December 1st.

Questions regarding the position may be directed to Professor Michelle Lacey at mlacey1@tulane.edu.

About the School of Science and Engineering at Tulane University

The School of Science and Engineering provides exceptional opportunities for collaboration across disciplines and supports the development of cutting-edge research and educational initiatives. The School is distinctive as the only academic unit at a major research university to merge the behavioral sciences, physical sciences, life sciences, engineering, and mathematics, which provides an unusually rich environment for innovative programs and interdisciplinary research.

Tulane University is a member of the prestigious American Association of Universities (AAU), is classified by the Carnegie Foundation as an R1 (Very High Research Activity) and Community Engaged university, and is committed to research and education at the highest levels. Tulane University offers a collaborative environment for interdisciplinary interactions, a strong public service theme, and a commitment to science as a major thrust of research, scholarship, and education.

Equal Opportunity Statement

Tulane University is committed to fostering a diverse, equitable, and inclusive community and welcomes applications from candidates who will contribute to and support that commitment.

Tulane University is an Equal Opportunity/Affirmative Action employer. All eligible candidates are encouraged to apply. Tulane University does not discriminate in employment on the basis of race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, veteran status, or any other protected status as defined by applicable federal, state, or local law.

Tulane University is committed to providing reasonable accommodations for qualified individuals with disabilities throughout the recruitment and employment process. Applicants requiring accommodations should contact the Office of Human Resources and Institutional Equity.

Research

  • Establish and maintain an independent, nationally recognized research program in probability and/or statistics.
  • Conduct scholarly research and publish results in leading peer-reviewed journals.
  • Pursue external funding opportunities where appropriate.
  • Mentor and supervise undergraduate, master's, and doctoral student research.
  • Collaborate with colleagues within and beyond the department to advance research initiatives.

Teaching

  • Teach undergraduate and graduate courses in probability, statistics, and related mathematical disciplines.
  • Develop innovative courses and instructional materials.
  • Advise and mentor students in academic and professional development.
  • Contribute to curriculum development and assessment activities.

Service

  • Participate in departmental, school, and university committees and governance activities.
  • Support student recruitment, retention, and outreach initiatives.
  • Engage in professional service within the mathematical sciences community.
  • Contribute to enhancing the department's academic and research mission.

Required Qualifications

  • Ph.D. in Statistics, Mathematics or a closely related field by the start date of appointment.
  • Demonstrated potential for outstanding research and scholarly achievement.
  • Demonstrated potential for excellence in teaching and student mentoring.
  • Strong written and verbal communication skills.

Preferred Qualifications

  • Research expertise in probability theory or mathematical statistics.
  • Evidence of scholarly publications appropriate to career stage.
  • Experience or interest in interdisciplinary research collaborations.
  • Experience in classroom instruction.

Skills

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