Employment Opportunities
Assistant Professor of Mathematics
The Department of Mathematics and Statistics at the University of North Carolina at Charlotte invites applications for a tenure-track position as an Assistant Professor of Mathematics starting August 11, 2025. We seek candidates whose research is in pure mathematics with a focus in analysis, dynamical systems, or related areas. Responsibilities include establishing and maintaining an active mathematics research program and seeking external funding. Teach undergraduate and graduate (master’s and doctoral level) courses. Provide service to the department, the university, and the profession.
Required qualifications include a doctoral degree in mathematics or a related discipline. A commitment to establishing a productive research program. A commitment to excellence in teaching at the undergraduate and graduate levels.
Preferred qualifications include research and teaching experience in mathematics. A strong research interest in analysis, dynamical systems, or related areas. Evidence of potential to obtain external funding.
Applications must be made electronically at https://jobs.charlotte.edu (position number 006537) and must include a letter of interest that addresses the requirements for the position; a curriculum vitae; a statement of research plans (part of which must be a statement indicating previous experience); a statement of teaching experience, philosophy, and interests; copies (either official or unofficial) of graduate transcripts; and at least three (3) professional references. The professional reference letters, one of which should address the teaching experience of the candidate, must be emailed to Jennifer Agostini (jagostini@charlotte.edu). Evaluation of applications will commence on November 1, 2024, and will continue until the position is filled. For further inquiries about the position, please contact Dr. Taufiquar Khan (tkhan13@charlotte.edu), Chair of the Department of Mathematics and Statistics.
Assistant Professor of Mathematics
The Department of Mathematics and Statistics at the University of North Carolina at Charlotte invites applications for a tenure-track position as an Assistant Professor of Mathematics starting August 2025. We seek candidates whose research is in applied mathematics with a focus in scientific computing and numerical analysis such as numerical differential equations and scientific machine learning, or related areas where computation plays a central and essential role, emphasizing analysis, development, and implementation of theoretically justified and efficient algorithms.
Required qualifications include a doctoral degree in mathematics. A commitment to establishing a productive research program. A commitment to excellence in teaching and advising at the undergraduate and graduate levels.
Preferred qualifications include excellent research and teaching experience in computational mathematics. Evidence of potential to obtain external funding. Experience in teaching large classes. Experience in supervising undergraduate students.
Provide service to the department, the university, and the profession.
Applications must be made electronically at https://jobs.charlotte.edu (position number 007597) and must include a letter of interest that addresses the requirements for the position; a curriculum vitae; a statement of research plans (part of which must be a statement indicating previous experience); a statement of teaching experience, philosophy, and interests; copies (either official or unofficial) of graduate transcripts; and at least three (3) professional references. The professional reference letters, one of which should address the teaching experience of the candidate, must be emailed to Jennifer Agostini (jagostini@charlotte.edu). Evaluation of completed applications including three references will commence on November 1, 2024, and will continue until the position is filled. For further inquiries about the position, please contact Dr. Taufiquar Khan (tkhan13@charlotte.edu), Chair of the Department of Mathematics and Statistics.