Research Assistant - College of Enigneering - Department of Mechanical Engineering

Carnegie Mellon University • Pittsburgh, PA

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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 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 by collecting the required experimental data for determining the link between spatter particles and porosity in the laser powder bed fusion of metals (PBF-LB/M), working with professors and their teams to accomplish this goal. 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

• Successful background check

Nice To Haves

• Preferred doctorate degree in Mechanical Engineering or related field
• 3-5 years of experience
• Experience with data analysis
• Experience with EOS M290 PBF-LB/M machine, using process monitoring sensors like infrared cameras and high-speed cameras
• 4+ years of research in metal additive manufacturing space, whether industry or academic.
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Responsibilities

• Collaborating with a multidisciplinary team
• Communicate results through reports and weekly presentations
• Planning and running experiments, tailored to complement existing data relating porosity to spatter landing sites
• Analyzing data from experiments using Python
• Train and validate machine learning model for processing data
• Writing/submitting manuscript of work to academic journals for publication
• Other duties as assigned.

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!

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 501-1,000 employees