Applied AI​/ML Assistant​/Associate​/Professor

Posting Information

Posting Number: PG194345EP

Internal Recruitment:
No

Working Title:

Applied AI/ML
- Open Rank
- Assistant/Associate/Professor

Anticipated Hiring Range:
Commensurate with education and experience

Work Schedule:

Monday
- Friday

Job Location:

Raleigh, NC

Department:
Mechanical & Aerospace Engineering

The Department of Mechanical and Aerospace Engineering at North Carolina State University (Raleigh, NC) is among the largest and most prominent in the nation. The department offers Bachelor of Science (BS), Master of Science (MS), and Doctor of Philosophy (PhD) degrees in both Mechanical Engineering (ME) and Aerospace Engineering (AE). The department also offers accelerated BS/MS degrees in both programs.

Current research specialization in MAE includes dynamic systems and controls, vibrations, biomechanics, design optimization, smart materials and structures, precision engineering, MEMS and NEMS, advanced manufacturing, aerodynamics, UAV flight research, materials, renewable energy, combustion, hypersonics, propulsion, space exploration systems, and computational fluid dynamics.

The MAE department currently boasts 49 tenure-track faculty, seven non-tenure track faculty, and 24 staff. The faculty is highly recognized with 13 National Science Foundation CAREER Award recipients, six ASME Fellows, seven AIAA Fellows, 20 members in the NC State Academy of Outstanding Teachers, and eight named professors.

The MAE Department has an enrollment of over 1,450 undergraduates and 420 graduate students, and has conferred over 6,000 degrees since 2000. The department is housed in Engineering Building III, a four-story, 250,000-square foot facility built in 2010. An annex houses wind tunnels, an anechoic chamber, internal combustion engine dynamo meters, and additional research labs. NC State’s location on Centennial Campus, combined with its proximity to the Research Triangle Park and neighboring universities, provides extensive opportunities for academic and industrial interaction and collaboration.

The mission of the MAE department is to be a flagship engineering department that benefits all people of North Carolina and the global society by making a profound impact on current and emerging science and technologies; fostering exemplary, synergistic multidisciplinary research and education programs in close partnership with industry and government; providing the environment for innovative professional and scholarly development; and graduating highly skilled, ethical engineers who will thrive in a rapidly changing world and be future leaders in technology and society.

As a Pack member,
you belong here
, and can enjoy exclusive perks designed to enhance your personal and professional well‑being. As you consider this opportunity, we encourage you to review our Employee Value Proposition
and learn more about what makes NC State the best place to learn and work for everyone.

What we offer:

• Medical
  , Dental
  , and Vision
• Flexible Spending Account
• Retirement Programs
• Disability Plans
• Life Insurance
• Accident Plan
• Paid Time Off and Other Leave Programs
• 12 Holidays Each Year
• Tuition and Academic Assistance
• And so much more!

Attain Work‑life balance with our Childcare benefits,
Wellness & Recreation Membership
, and Wellness Programs that aim to build a thriving wolfpack community.

The Department of Mechanical and Aerospace Engineering invites applications for a tenure‑track faculty position in the College of Engineering. We seek innovative scholars whose work advances the applications of artificial intelligence (AI) and machine learning (ML) in mechanical and/or aerospace engineering, and who are eager to contribute to a thriving, research‑intensive community.

Key Research Areas of Interest Include (but are not limited to):

• AI/ML-based autonomy and control systems
• Physical reservoir computing and embodied intelligence
• Digital twinning using AI/ML, including physics‑informed and multi‑modal approaches
• Novel experimental techniques leveraging AI/ML
• AI/ML-enabled state awareness and system diagnostics
• AI/ML-driven design methodologies
• AI-enabled autonomous manufacturing systems

Resear…