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. The ideal candidate will have a strong academic background in mathematics, applied mathematics, statistics, data science or a closely related field, together with professional or industry experience in applying quantitative methods.

Project topics may include statistical modeling, machine learning, optimization, data analysis, mathematical modeling, AI‑related applications, financial modeling, healthcare analytics, operations research, or other applied areas depending on program needs.

• 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.
• Coordinate with the program director and faculty lead as needed.

• 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.
• Ability to connect mathematical and statistical theory with practical applications required.
• Prior graduate‑level teaching experience preferred.

CV/resume, cover letter, and three references (provide name, title, company, phone, email, relationship, e.g., current supervisor).

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. The university offers a comprehensive benefits package for benefit‑eligible employees, including medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement, commuting and transportation benefits.

Per credit rate: $2,932.00.