Research Assistant - College of Engineering - Department of Mechanical Engineering
Carnegie Mellon University · Pittsburgh, US
Job description
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 conducting research in the FORGE Lab on machine learning methods for predicting the influence of geometry-based boundary conditions on physics behavior, with applications in additive manufacturing and help develop and evaluate geometry-aware surrogate models and contribute to related publications.
Your core responsibilities will include:
- Conduct research under PI supervision
- Contribute to manuscripts and lab activities
- Present results at lab meetings
- Develop neural network models for geometry representation (point clouds, meshes, or neural fields) applied to physical surrogate modeling.
- Generate and curate training data from numerical simulations of manufacturing processes.
- Document methods and results for publications and technical reports.
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:
- Bachelor’s degree. Master’s degree preferred.
- 0-1 years of experience
- Hands-on experience with deep learning frameworks, foundational machine learning knowledge.
- 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, 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!
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 .
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, PA
Job Function
Researchers
Position Type
Staff – Fixed Term (Fixed Term)
Full Time/Part time
Full time
Pay Basis
Hourly
More Information:
- Please visit “ Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world.
- Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran .
- Statement of Assurance
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
More Data Science roles
View all →Data Scientist
Booz Allen Hamilton · Remote · Fayetteville
Pricing Data Scientist
Radwell International · Chicago, US
Data Scientist, Mid
Booz Allen Hamilton · Remote · Baltimore
Data Scientist
Booz Allen Hamilton · Remote · Baltimore
People Data Scientist
Unitek Learning · Phoenix, US
Senior Data Scientist - Financial Markets
Bank of Canada · Remote · Ottawa