About The Position

Carnegie Mellon University's Department of Mechanical Engineering is seeking a Postdoctoral Research Assistant to join their team. This role involves predicting defects and assessing weld quality of mechanical parts in real-time by developing machine learning models that use sensor data. The ideal candidate will thrive in a challenging work environment and contribute to the department's research efforts. Carnegie Mellon University is a global research university known for its innovation in areas such as brain science, arts, technology, and robotics. The Department of Mechanical Engineering focuses on advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics, often through interdisciplinary research centers.

Requirements

  • Doctorate degree required
  • 0-1 year of experience: Machine learning for engineering design and simulation
  • A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Responsibilities

  • Understanding various concepts in welding and related mechanical engineering processes and cleaning existing datasets.
  • Creating deep learning models.
  • Using deep learning to create a robust model that predicts welding defects based on sensor data.
  • Perform other project-related duties as assigned.

Benefits

  • Comprehensive medical, prescription, dental, and vision insurance
  • Generous retirement savings program with employer contributions
  • Tuition benefits
  • Ample paid time off
  • Observed holidays
  • Life and accidental death and disability insurance
  • Free Pittsburgh Regional Transit bus pass
  • Access to Family Concierge Team to help navigate childcare needs
  • Fitness center access
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service