Part Time Lecturer, MS Statistics and MS Applied Mathematics

About the Opportunity

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.

The instructor will guide students through project development problem formulation data analysis modeling computation interpretation communication and final presentations.

The per credit rate is $2932.00.

Key Responsibilities:

Responsibilities include the following:

• 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.

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

Application Materials:

• CV/resume
• cover letter
• 3 references provide name title company phone email relationship (e.g. my current supervisor)

Position Type

Additional Information

Northeastern University considers factors such as candidate work experience education and skills when extending an offer.

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.

Pay Range: