Assistant/Associate/Full Teaching Professor - Multidisciplinary Graduate Enginee

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

Join to apply for the Assistant/Associate/Full Teaching Professor - Multidisciplinary Graduate Engineering - Boston role at Northeastern University

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

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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) in Boston, MA with general areas of focus in Artificial Intelligence, Machine Learning, and Natural Language Processing. 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.

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) in Boston, MA with general areas of focus in Artificial Intelligence, Machine Learning, and Natural Language Processing. 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: position will report directly to the MGEN Executive Director and collaborate across the unit. 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 into 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. The appointment title/rank will be commensurate with the candidate’s qualifications and experience.
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
• Counsel's 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 candidate for this role will have a terminal credential in a related engineering field, 10+ years' experience in either higher education and/or a relevant engineering field (a requirement of 15+ years of experience in either higher education and/or a relevant engineering field is required for higher level position applicants) and have prior professional experience working with student populations. The candidate will also have 10+ years of relevant industry experience and/or research in the areas such as: machine learning, artificial intelligence, natural language processing, transformer based language models, generative image models (e.g., GAN and variational auto encoders), generative models for structured data (e.g., Bayesian networks), Blockchain-based decentralized trust computing, 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 have 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.
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 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
Assistant Teaching Professor: $110,000 - $133,000 | Associate Teaching Professor: $117,000 - $148,000 | Teaching Professor: $125,000 - $143,000
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Administrative

• Industries

  Higher Education

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