Assistant Professor

Tulane University•New Orleans, LA

28d•Onsite

About The Position

The Department of Mathematics at Tulane University is seeking a tenure-track Assistant Professor, starting Fall 2027, pending final approval. The position focuses on candidates whose research develops, applies, or advances the mathematical foundations of artificial intelligence, machine learning, and data science. This includes areas such as high-dimensional probability and statistics, optimization, scientific machine learning, numerical analysis, mathematical foundations of AI, and topological data analysis. The university particularly welcomes candidates who can foster interdisciplinary collaborations across mathematics and other scientific, engineering, computing, and health fields at Tulane. The successful candidate is expected to build an internationally recognized, externally funded research program, teach effectively at undergraduate and graduate levels, contribute to departmental service, and actively participate in the university's intellectual life. The current teaching load is one course per semester, which may change based on departmental needs. Applicants must hold a Ph.D. in mathematics, statistics, or a related field by the appointment start date and demonstrate strong potential in research and teaching. Postdoctoral experience is preferred but not required. Tulane University, a private research university in New Orleans, Louisiana, offers a collaborative environment within its School of Science and Engineering, fostering interdisciplinary research and education. New Orleans provides a vibrant cultural life and high quality of life.

Requirements

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

Nice To Haves

Postdoctoral experience.
Research expertise in an area that develops, applies, or advances the mathematical foundations of artificial intelligence, machine learning, and data science.
Evidence of a strong publication record appropriate to career stage.
Experience or demonstrated interest in interdisciplinary collaborations.
Experience in classroom teaching.

Responsibilities

Develop and maintain an independent, nationally recognized research program.
Publish high-quality scholarly research in peer-reviewed journals.
Pursue external funding opportunities to support research activities.
Collaborate with faculty across disciplines to advance interdisciplinary research initiatives.
Supervise undergraduate, master's, and doctoral student research.
Teach undergraduate and graduate courses in mathematics and related disciplines.
Develop new courses and curricular offerings that support departmental and university priorities.
Advise and mentor students in academic and research activities.
Contribute to curriculum assessment and continuous improvement efforts.
Participate in departmental, school, and university service activities.
Serve on committees and contribute to faculty governance.
Support student recruitment, retention, and outreach efforts.
Engage in professional service activities within the mathematical sciences community.