Job Number: 2015484
Carnegie Mellon University’s global leadership in the research and development of advanced robotics and automation, artificial intelligence, additive manufacturing and materials science is rapidly redefining manufacturing and catalyzing economic development in Pittsburgh and beyond. Our NextManufacturing Center is one of the world’s leading research centers for additive manufacturing (AM). The center leverages knowledge from across disciplines to develop a holistic approach to AM that includes design optimization, materials selection and characterization, process parameter mapping, software development, final part inspection and qualification, as well as the application of computational methods, data analytics, computer vision and machine learning. The center has an engaged on-campus community that includes nearly 100 faculty, postdocs, students and staff, and is strengthened by its diverse set of Consortium members and nearly 100 yearly interactions across industry, government, and academia. For more information, please visit the NextManufacturing Center website.
We are seeking Postdoctoral Research Associates to join our newly launched Artificial Intelligence (AI) Enabled Additive Manufacturing (AM) Program. In this role, you will support the objectives of the program by demonstrating leadership in one or more of the cross disciplinary research areas described.
You will be matched with a Carnegie Mellon faculty mentor in an appropriate area of research and will reside in the faculty advisor’s home department.
This is a one year, fixed term position with the possibility of extension based upon the continued availability of funding, annual review and consideration. Multiple positions are available.
About the AI Enabled AM Program:
CMU’s AI Enabled AM Program is an interdisciplinary initiative to accelerate the development of expeditionary manufacturing capability for the US Army. The five-year program will address several significant technology capability gaps and fundamental research requirements from 2020-2025 that are required to enable expeditionary manufacturing. This research program is structured so that research can be conducted with goals and objectives for each core research area. However, our overall objective is not limited to parallel contributions in these individual research areas. Instead, we aim to go much further by taking a comprehensive research approach to develop and demonstrate in a resource-constrained environment a complete expeditionary manufacturing system maximizing AM+AI, including:
- Advanced analysis and characterization of AM powders and their potential impact on part design(s), addressed in the Pre-Processing research area;
- Integration of Computer Vision with process modeling of the AM melt pool and build layers to enable real-time optimization, addressed in the In-Situ Processing (Processing & Optimization) research area
- Sensing and correlating microstructures to critical physical and performance characteristics of the manufactured part, addressed in the Post-Processing research area
- Enabling AI data fusion to provide real-time qualification and certification of AM parts, with the requisite cyber security and human-machine teaming to support operation in a resource-constrained environment
The ultimate goal for maximizing AM+AI for Army expeditionary manufacturing applications is to achieve fully automated sensing and optimization of the AM process, and to enable real-time qualification and certification of mission-critical AM parts and components manufactured at the point of need.
Primary responsibilities include:
- Research and project management including planning, scheduling and conducting research in one or more of the program research areas
- Participating in regular meetings with project team members to support implementation progress and results; maintaining effective project team communications including calendaring, and meeting notes with partner sites
- Producing scholarly articles and reports for publication resulting from research; support the delivery of technical reports and research reviews with ARL, advisors, and project team members
- Presenting research results with project team members to ARL, advisors, and professional audiences at annual demonstrations, professional and academic conferences
- Guiding and mentoring student research assistants as applicable
- Collaborating on new research projects and grant writing activities
- Completion of PhD or ScD prior to start date
- No more than two years past the date of the doctoral degree at the time of appointment
Are you interested in this dynamic opportunity with us? Please apply.
Application materials must include:
- PhD or ScD thesis abstract – one page
- Education and background statement – 500-700 words describing your personal background, demonstrated experience and contributions to the program focus areas through your academic career
- Curriculum vitae including publication list
- Two letters of recommendation, including one from the applicant’s doctoral thesis advisor, that provide detailed assessments of the applicant’s qualifications and potential for innovative, ground-breaking independent research. The letter of recommendations to be sent directly to Dr. Sandra DeVincent Wolf, Executive Director.
Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
A listing of our employee benefits is available at: www.cmu.edu/jobs/benefits-at-a-glance/.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
Job Function: Research
Primary Location: United States-Pennsylvania-Pittsburgh
Time Type: Full Time
Minimum Education Level: Doctorate
Carnegie Mellon University does not discriminate and Carnegie Mellon University is required not to discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex or handicap in violation of Title VI of the Civil Rights Act of 1964, Title IX of the Educational Amendments of 1972 and Section 504 of the Rehabilitation Act of 1973 or other federal, state, or local laws or executive orders.
© Copyright 2020 Internet Employment Linkage, Inc.