Adjunct Instructor – Mathematics

Merrimack College Federal Cu; Andover (MA); On-site; USD 5,000 - 10,000; Part time

Job summary

Merrimack College invites applications for adjunct faculty to teach Concepts in Algebra, Basic Statistics, and Applied Statistics for Engineers for Fall semester 2026 in Andover, MA. Courses run Aug 31–Dec 18, 2026. Duties include delivering lectures, administering exams, and grading assignments.

Background check required. Minimum: MS in Mathematics or related field with college teaching experience; familiarity with Canvas and classroom technology is highly desirable.

Qualifications

• MS in Mathematics or related field.
• College-level teaching experience and familiarity with Canvas LMS.
• Ability to use classroom technology to support instruction.

Responsibilities

• Deliver lectures in a classroom setting.
• Administer exams.
• Grade students’ assignments.

Skills

Teaching experience

Canvas LMS

Classroom technology

Education

MS in Mathematics or related field

Job description

The Department of Math and Physics invites applications for adjunct faculty to teach Concepts in Algebra, Basic Statistics, and Applied Statistics for Engineering this upcoming Fall semester 2026. The meeting times and additional information are as follows:

Concepts in Algebra (MTH 1000) Section D – Monday/Wednesday/Friday 9:45 AM – 11:00 AM, Section E – Monday/Wednesday/Friday 1:15 PM – 2:30 PM, Section F – Monday/Wednesday/Friday 11:30 AM – 12:45 PM

Basic Statistics (MTH 1111) Section A – Tuesday/Thursday 8:00 AM – 9:50 AM, Section B – Tuesday/Thursday 10:20 AM – 12:10 PM

Applied Statistics and Probability for Engineers (MTH 1505) Tuesday/Thursday 8:00 AM – 9:50 AM

These courses will start August 31st and conclude on December 18th 2026. Duties include delivering lectures in a classroom setting, administering exams, and grading students’ assignments.

This position is subject to the successful completion of a criminal background check.

Qualifications

• Hold at least a MS in Mathematics or a related field.
• College-level teaching and experience utilizing learning management systems (i.e.- Canvas) and technology in the classroom is highly desirable.

Application Materials Should Include:

• Cover letter stating motivation and interest in the position and desired courses
• Resume or Curriculum Vitae (CV).
• Contact information for three professional references (name, title, address, phone number, email address). Applicants will be notified before references are contacted.

Compensation

Minimum: $5,000 per 4-credit course

The actual pay offered to the selected candidate will be determined based on factors such as, but not limited to, candidate qualifications and prior experience, scope of responsibilities, internal equity, and market considerations.

Course Descriptions

Concepts in Algebra (MTH 1000)

A one semester course designed to develop fundamental algebraic and problem-solving concepts and skills. Topics include linear, quadratic, square root, rational, exponential, and logarithmic functions and equations. This course emphasizes individual investigation and problem solving to enhance students’ understanding of algebraic models and the problem-solving process. Students will work independently and in groups, with the assistance of the professor and course assistant(s), through an in-class and online experience. A laptop/iPad and a scientific calculator are required. This course is open only to students whose Placement Assessment results indicate that they need further preparation for subsequent mathematics courses.

Basic Statistics (MTH 1111)

Basic methods of statistical inference including the organization and analysis of data, sampling theory, point and interval estimation, hypothesis testing, correlation and regression analysis, and analysis of variance. Statistical software will be used throughout this course. MTH 1111 is not open to students with credit for MTH 1110, MTH 2527, or MTH 1505.

Applied Statistics and Probability for Engineers (MTH 1505)

A calculus-based introduction to applied statistical and probability methods commonly used in engineering. Topics include descriptive statistics, probability counting methods, discrete and continuous random variables, point estimation, linear regression, the Central Limit Theorem, confidence intervals and hypothesis tests for mean and proportion of one and two-sample statistics. Statistical computer packages will be used in connection with the material studied. A graphing calculator is required. We recommend TI-84+.

Merrimack College is an Equal Opportunity Employer.