Intern at CCAM

The Commonwealth Center for Advanced Manufacturing  (CCAM)  is  seeking  multiple undergraduate and graduate student interns  to perform  and participate in the research programs of their world-class applied research facility.


In this position you will Manage data and maintain data integrity by creating and manipulating spreadsheets and using pivot tables, conditional formatting, and mathematical and statistical formulas;  Survey and summarize current literature using technical writing skills and performing literature searches on topics with little prior knowledge, and create written documentation of techniques used & work methods; and Gain more in-depth understanding of Surfacing & Material Research & Additive Manufacturing Processes by supporting new and ongoing thermal spray-coating process development, designing fixtures for thermal spray parts, robotics programming, surface preparation and coatings characterization, and performing basic sample preparation techniques. 

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In this position you will Improve troubleshooting and problem-solving abilities by working directly on applied projects; learning how to identify the bottleneck issue/problem in any given task; developing independent research capabilities; creating or investigating solutions in a tactical and methodical manner; building upon your experience in hardware design; software & algorithm development, and data collection. You will Develop communication and presentation skills by presenting task progress to team and/or industry members when working on a given project; documenting research results; and giving an end of internship presentation on their development and progress. You will Work with various types of technologies to include data serialization, API communication, version control tools, database systems, and front-end frameworks.

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In this position you will Improve understanding of the application of data science principles in manufacturing through understanding the principles of advanced data analysis and modeling schemes for manufacturing with emphasis on machine learning principles for image processing, modification of existing scripts to analyze large data sets for modeling and analysis purposes, and development of scripts to pre-process datasets as needed for various modeling and analysis purposes; Improve critical thinking skills through learning new libraries through API documentation and self-experimentation and exploring literature for ways to improve performance of existing models; and Improve technical communication skills through formatting and formal reporting and presentation of results.

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In this position you will Improve understanding of basic manufacturing principles through learning the setup of basic maintenance and operating principles of various CNC equipment; learning basic metrology principles including GD&T and the operating principles of various inspection technologies; and design fixtures and experimental testbed to apply design for manufacturing and minimum viable product principles; Improve engineering problem solving skillset through setup and operation of data acquisition platforms for experimental data collection and application of simple data analysis using Excel and other native data acquisition applications; Improve technical communication skills through formatting and formal reporting and presentation of results; Work collaboratively with our researchers to design and implement machining solutions for our projects; conduct data analysis help interface with our industry partners on project status communications, develop concept and final design work, programming and program verification, interface with suppliers, and proposal / report writing.

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In this position you will Improve skills related to numerical analysis of complex manufacturing processes through the modeling of LPBF and DeD deposition processes and by participating in the design of experiments for developing, updating and validating process model; and Improve technical communication skills through formatting and formal reporting and presentation of results.

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