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!Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In addition, they are using their expertise in interdisciplinary research centers across the university.Carnegie Mellon University’s department of Mechanical Engineering is searching for a Postdoctoral Research Associate 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 providing support by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational biomedicine and mechanics and such other tasks that are assigned to you.Core Responsibilities:
Conduct novel research on algorithm development and apply to related biomedical and engineering applications and manage related projects
Publish in top journals and help with proposal writing
Supervise the research of graduate and undergraduate students in the lab
Other duties as assigned.
Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.Qualifications:
Doctorate degree in mechanical engineering, aerospace, or related fields in engineering
A minimum of 5 years of experience
Experience in computational mechanics, finite element method, isogeometric analysis, geometric modeling, machine learning, data-driven modeling
A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
Requirements:
Successful background check
Joining the CMU team opens the door to an array of exceptional benefits.employees enjoy a wide array of benefits including as well as a generous with employer contributions. Unlock your potential with , take well-deserved breaks with ample and observed , and rest easy with life and accidental death and disability insurance.Additional perks include a free Pittsburgh Regional Transit bus pass, access to our to help navigate childcare needs, , and much more!For a comprehensive overview of the benefits available, explore our .At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.Are you interested in an exciting opportunity with an exceptional organization?! Apply today!Location Pittsburgh, PAJob Function Pre/Post-Doctoral Associates & FellowsPosition Type Postdoctoral Associate / Fellow (Fixed Term)Full Time/Part time Full timePay Basis SalaryMore Information:Please visit “ ” to learn more about becoming part of an institution inspiring innovations that change the world.Click to view a listing of employee benefitsCarnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
