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 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 providing support through the research and development of machine-learning-based surface defect detection methods, other tasks that are assigned to you.
Kenji Shimada’s research work has focused on geometric computing, emphasizing how to generate, represent, and manipulate geometric information. Shimada’s recent projects include: physically-based mesh generation; non-manifold geometric modeling; automated shape synthesis using physically-based models; feature-based, dimension-driven surface and solid modeling; collision detection between moving objects; robot motion teaching using interactive computer graphics; and realistic image synthesis using radiosity calculation.
Your core responsibilities will include:
Planning and performing research on machine-learning-based surface defect detection methods
Developing and implementing machine-learning-based surface defect detection methods
Completing a demo of the implemented methods
Working closely with the PI, Ph.D. students, and Research Engineers in the Computational Engineering and Robotics Lab.
Planning and performing research
Developing and implementing research ideas as functional software
Presenting the research outcome
Other duties as assigned.
Flexibility, excellence, and passion are vital qualities within Carnegie Mellon University. Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to 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:
MS degree in mechanical engineering required
Computer Vision, Machine Learning, Programming
Requirements:
Joining the CMU team opens the door to an array of exceptional benefits, available to all full-time Carnegie Mellon University employees. Experience the full spectrum of advantages, from comprehensive medical, prescription, dental, and vision insurance to enticing retirement savings programs. Unlock your potential with tuition benefits, and take well-deserved breaks with generous paid time off and holidays. Rest easy knowing you're covered by life and accidental death and disability insurance. For a comprehensive overview of the benefits awaiting you, explore: https://www.cmu.edu/jobs/benefits-at-a-glance.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role & responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique key skills and the diverse perspectives you bring. Our commitment to fostering an inclusive work environment means we also account for geographic differentials. 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 this exciting opportunity?! Apply today!
Location
Pittsburgh, PA
Job Function
Researchers
Position Type
Staff – Fixed Term (Fixed Term)
Full Time/Part time
Part time
Pay Basis
Hourly
More Information:
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Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
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