Postdoctoral Research Associate - College of Engineering - Department of Mechanical Engineering
Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here.
About the role
Carnegie Mellon University’s Department of Mechanical Engineering is searching for a Postdoctoral Research Assistant to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. You will contribute to the department by predicting defects and assessing weld quality of mechanical parts in real-time by developing machine learning models that use sensor data and other assigned tasks.
Responsibilities
- Understand various concepts in welding and related mechanical engineering processes and clean existing datasets.
- Create deep learning models.
- Use deep learning to build a robust model that predicts welding defects based on sensor data.
- Perform other project-related duties as assigned.
Requirements
- Doctorate degree required.
- 0-1 year of experience in machine learning for engineering design and simulation.
- A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
Benefits
- Comprehensive medical, prescription, dental, and vision insurance.
- Generous retirement savings program with employer contributions.
- Tuition benefits.
- Ample paid time off and 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.
Location: Pittsburgh, PA
Position Type: Postdoctoral Associate / Fellow (Fixed Term), Full time