Specialized areas: Deep Learning, Generative AI, Prompt
Engineering, Conversational AI and Chatbots, Reinforcement
Learning
Applied domains: Machine Learning for Cybersecurity, AI for 3D
Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for
Autonomous Systems
Foundational courses (for Connect pathway students): Python
programming, Mathematical Concepts, Research Methods and Scientific
Writing
The Applied AI degree is a multi-disciplinary, experience-based
program that prepares professionals from diverse backgrounds to
harness the transformative potential of artificial intelligence.
Through courses and projects that focus on applied machine
learning, AI implementation, ethical AI practices, and real-world
applications, students learn to create AI solutions across
manufacturing, healthcare, finance, and other industries. The
program emphasizes accessibility, offering pathways for both
technical and non-technical professionals to transition into
AI-focused roles.
Qualifications
Minimum qualifications:
- Terminal degree (Ph.D.) in Computer Science, Artificial
Intelligence, Machine Learning, Data Science, or an aligned
discipline
- Demonstrated professional experience implementing AI/ML
solutions in industry settings
- Proficiency in Python and modern AI/ML frameworks (TensorFlow,
PyTorch, scikit-learn, or similar)
Strongly preferred:
- 5+ years of professional experience in AI/ML development,
implementation, or strategy roles
- Demonstration of teaching, coaching, and/or training experience
with a history of successful teaching (online/on-ground) at the
graduate level strongly preferred
- Experience teaching adult learners or working
professionals
- Expertise in one or more specialized areas: natural language
processing, computer vision, generative AI, deep learning,
conversational AI, reinforcement learning, or AI applications in
specific domains (cybersecurity, 3D imaging, autonomous
systems)
- Understanding of AI ethics, governance, and responsible AI
practices
- Ability to make complex AI concepts accessible to learners from
diverse academic backgrounds
Application Materials
Applicants should submit materials including a cover letter and
vitae.
Successful faculty at Northeastern will be dynamic and innovative
scholars with a record of teaching excellence and a commitment to
fostering belonging in the university community. Thus, strong
candidates for this faculty position will have the expertise,
knowledge, and skills to build their pedagogy, and curriculum in
ways that reflect and enhance this commitment. Please indicate how
your expertise, knowledge, and skills have prepared you to
contribute to this work in your cover letter.
Please direct questions to John Wilder at
j.wilder@northeastern.edu.
Applications will be reviewed until the position is filled.
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 per credit rate is $1,569.00.
To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Arlington-VA/Part-Time-Lecturer---Applied-Machine-Intelligence--Arlington-_R138536-1
jeid-ace864da5acdf443b7e0e9f49dd50dfc
