Part-Time Lecturer MGEN (Boston)

NU USA Northeastern University; Boston (MA); On-site; USD 14,000 - 17,000; Part time

Benefits offered by this job

Tuition assistance

Benefits package

Job summary

Northeastern University in Boston invites applications for an Adjunct Faculty position to teach selected graduate courses across the multidisciplinary masters programs. This role supports the evolution of software engineering education to address healthcare, security, privacy, auditing, and business intelligence within MS programs.

The adjunct will prepare lectures, course materials, examinations, and evaluate student performance, contributing to programs like Information Systems, Data

Qualifications

• M.S. or Ph.D. in relevant engineering discipline is required; some professional and/or teaching experience preferred.

Responsibilities

• Teach selected graduate courses within the multidisciplinary master's degree programs.
• Prepare lectures, course materials, examinations, and evaluate student performance.

Education

M.S. or Ph.D. in relevant engineering discipline

Job description

About the Opportunity

The Multidisciplinary Graduate Engineering (MGEN) unit, within the College of Engineering, invites applications for the Adjunct Faculty position for teaching selected graduate courses for the multidisciplinary masters degree programs in Boston, Massachusetts.

The MGEN unit seeks to produce more effective software engineers who are substantially more capable than ever of addressing the needs of digital society in terms of time, cost, and quality.

The unit will accomplish this by revolutionizing the way software is designed and evolved overtime, and believe software is a systems engineering challenge rather than a coding problem.

See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary

Responsibilities

Teach selected graduate courses within the multidisciplinary masters degree programs.

See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary

Responsibilities include preparation of lectures, course materials, examinations, and evaluation of student performance in the course.

The multidisciplinary masters suite of degree programs in Boston include: MS in Information Systems focuses on the intersection of cutting‑edge technology and business complexity with an emphasis on the art and science of designing intricate software applications especially in the areas of healthcare, security and privacy, auditing and compliance, business improvement and intelligence, as well as financial accountability. Courses include application engineering and development, engineering big‑data systems, and engineering secure software systems.

MS in Information Systems Bridge is focused for students with non‑STEM, non‑technical bachelor’s degrees that are the knowledge link between business users and technologists by understanding the complexities of both. Students’ undergraduate work in the humanities provides them with a unique perspective and approach in developing systems via a socio‑technical lens. Students take courses specifically designed to bridge their current professional pursuits with the background and industry knowledge needed to advance in the IT sector. As industries launch into a digitized future, professionals with a clear understanding of how technology can be used to address large societal challenges are in demand.

The MS in Data Architecture and Management is designed to prepare students for this evolving and growing field, by providing students the holistic knowledge and technical skills to engineer big data systems, curate data, and integrate and process data so that data scientists and business analysts can access and interpret data in context to provide meaningful results to management.

The MS in Software Engineering Systems approaches software development from the analytical and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning algorithms. With a passion for high‑performance technology, large‑scale machine learning, and AI‑type algorithms, students become intuitive problem solvers, experienced engineer architects, and results‑focused leaders. Their knowledge at the three‑way intersection of computer science, engineering, and ethics enables them to have real‑world societal impact in high‑demand fields across industries.

Qualifications

M.S. or Ph.D. in relevant engineering discipline is required; some professional and/or teaching experience preferred.

Must have strong, effective verbal skills to communicate well with students.

Position Type Academic

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law.

Additional Information

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law.

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 per credit rate is $2,625

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.