Job Description
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 $2,932.00. 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 Academic Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https:
//hr.northeastern.edu/benefits/ for more information. 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:
The rate per credit is $2,932.00 Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact. Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The system—which includes 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide—serves as a platform for scaling ideas, talent, and solutions. The university's residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California. Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver. Northeastern's personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment. Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors—aligned around solving today's highly interconnected global challenges and focused on transformative impact for humankind.
