Assistant/Associate/Full Teaching Professor - Multidisciplinary Graduate Engineering - Seattle

About the Opportunity

Northeastern University’s Multidisciplinary Graduate Engineering (MGEN) unit seeks highly motivated applicants, committed to teaching excellence, for the role of Assistant/Associate/Full Teaching Professor (a non-Tenure-Track faculty position) at our campus in Seattle, WA with general areas of focus in Application Engineering, Artificial Intelligence/Machine Learning, Software Engineering, as well as Data Engineering. In this role, the Teaching Faculty will report directly to the MGEN Executive Program Director. The selected candidate is expected to teach, advise, as well as identify new and industry trending subjects for curriculum advancement.

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

Candidates should be committed to fostering a diverse and inclusive environment as well as to promoting experiential learning. The MGEN unit at Northeastern University is committed to equal opportunity, affirmative action, diversity, and social justice while building a climate of inclusion on and beyond campus. In research and teaching environments, members of the University community work to cultivate an inclusive environment that denounces discrimination through innovation, collaboration, and an awareness of global perspectives on social justice. We welcome individuals of all ages, backgrounds, beliefs, ethnicities, genders, gender identities, gender expressions, national origins, religious affiliations, sexual orientations, socioeconomic background, family education level, ability – and other visible and nonvisible differences. The appointment title/rank will commensurate with the candidates qualifications and experience.

This position will report directly to the MGEN Executive Director and collaborate across the global network. Successful candidates will be expected to teach six core or elective courses per year, and are willing to teach in the evenings, and during summer sessions if appropriate. Successful candidates will also incorporate hands on instructional elements (i.e. programming code, etc.) for graduate-level engineering curriculum in to their courses. The Assistant/Associate/Full Teaching Professor will develop course content, prepare academic activities and course delivery materials to support course objectives, advise students, work collaboratively to identify instructors, and perform service to the unit, university, and profession.

Additional duties associated with this role include, but are not limited to, the following:

• Instruct and prepare students to improve relevance, rigor, and quality through teachings and course offerings
• Counsels’ students on academic advising and other academic matters
• Responds to unit and student inquiries

• And other duties as required

PhD in Information Systems, Software Engineering, Computer Science, or related engineering field is required by the appointment start date. The ideal candidate for this role will have a terminal credential in a related engineering field, experience in either higher education and/or a relevant engineering field (a requirement of 10+ years of experience in either higher education and/or a relevant engineering field will be required for higher level position applicants), and have experience working with a diverse student populations. The candidate will also have relevant industry experience and/or research in the areas such as: Blockchain-based decentralized trust computing, machine learning/AI, eco-scale application engineering, cloud computing and infrastructure platform design, software driven networking, software engineering/model driven design and architecture techniques, real-time 3D graphics, Metaverse design and deployment, digital twin technology, and others. Additionally, successful candidates will exhibit a commitment to teaching excellence, an ability to handle multiple responsibilities concurrently, possess excellent written and oral communication skills, and can work independently in a fast-paced and dynamic environment is required.

Application must include (1) a cover letter; (2) detailed CV including teaching expertise; (3) a statement of teaching interests and objectives; (4) names and contact information of at least three references, and (5) Statement of Diversity, Equity, Inclusion, and Belonging: Please provide a statement of your commitment and/or contribution(s) that describe your past experience, activities, and/or future plans to advance diversity, equity, inclusion, and the value proposition of belonging in your teaching, research, and service. Your statement should demonstrate an understanding of the barriers facing marginalized communities in your field/community and be in alignment with both Northeastern’s mission and BEYOND 2025: The Academic Plan Paragraph 4.1 A Magnet for Diversity, and a Place of Belonging. A more developed and substantial plan is expected for senior candidates.

The expected hiring range for Assistant Teaching Professor is USD $97,200 to USD $129,780, based upon the position’s scope and responsibilities. The expected hiring range for Associate Teaching Professor is USD $108,000 to USD $144,200, based upon the position’s scope and responsibilities. The expected hiring range for Full Teach Professor is USD $118,800 to USD $158,600, based upon the position’s scope and responsibilities.

Position Type

Academic

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.