About The Position

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 Research Scientist to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. You will provide support by developing novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning to build digital twins for complex engineering systems to study various applications such as computational biomedicine and mechanics and other tasks assigned to you. 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.

Requirements

  • Doctorate degree in mechanical engineering, mathematics, or related fields in engineering
  • A minimum of 5 years of experience
  • Experience on computational mechanics, finite element simulations, isogeometric analysis, data-driven modeling and scientific machine learning.
  • Experience with computational mechanics, finite element method, isogeometric analysis, geometric modeling, machine learning, data-driven modeling, digital twins
  • A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
  • Successful background check

Responsibilities

  • Conduct novel research on algorithm development of digital twins and apply to related biomedical and engineering applications.
  • Publishing on top journals, proposal writings and student mentoring.
  • Manage related projects.
  • Supervise graduate/undergraduate students on research.

Benefits

  • Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions.
  • Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
  • Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
  • For a comprehensive overview of the benefits available, explore our Benefits page.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

Number of Employees

501-1,000 employees

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