Part Time Lecturer, MS Statistics and MS Applied Mathematics

About The Opportunity

The Department of Mathematics seeks part-time lecturers to teach graduate-level project courses in the MS Statistics and MS Applied Mathematics programs. These courses are designed to help students apply mathematical, statistical, computational, and data-driven methods to real-world problems.

Key Responsibilities

• Teach graduate-level project-based courses in MS Statistics and MS Applied Mathematics.
• Develop and guide applied projects connecting mathematics, statistics, computation, and real-world problems.
• Mentor students through project scoping, modeling, data analysis, computation, interpretation, and presentation.
• Support the use of tools such as Python, R, MATLAB, or other relevant software.
• Provide timely feedback on project proposals, progress reports, presentations, and final reports.
• Connect course content with current industry and research applications.
• Maintain regular communication with students and hold office hours.
• Cook with the program director and faculty lead as needed.

Qualifications

• PhD in Mathematics, Applied Mathematics, Statistics, Data Science, or a closely related field required.
• Industry, government, or research experience applying quantitative, statistical, computational, or data-driven methods strongly preferred.
• Experience with project-based teaching, mentoring, consulting, or supervising applied projects preferred.
• Strong communication skills and ability to guide graduate students from diverse backgrounds required.
• Experience with Python, R, MATLAB, or related tools strongly preferred.
• Able to connect mathematical and statistical theory with practical applications required.
• Prior graduate-level teaching experience preferred.