Pennsylvania State University - State College, PA

posted 4 months ago

Part-time
State College, PA
Educational Services

About the position

The Process, Physics, Analytics, & Engineering Department at the Applied Research Laboratory (ARL) at Penn State University is seeking an Additive Manufacturing Data Analyst. This position is integral to the Center for Innovative Materials Processing through Direct Digital Deposition (CIMP-3D) and involves analyzing build and sensor data collected during metals Additive Manufacturing (AM) processes. The successful candidate will work closely with faculty and staff to support the analysis of in-situ sensor data, utilizing advanced analytical techniques and tools to derive insights that will enhance the understanding and efficiency of AM processes. In this role, the Additive Manufacturing Data Analyst will be responsible for supporting the analysis of in-situ sensor data using MATLAB and/or Python. This includes drafting presentations and written reports to communicate findings effectively to stakeholders. Additionally, the analyst will develop CAD and build plan designs for various additive manufacturing processes, ensuring that the designs meet the necessary specifications and requirements for successful implementation. The position requires a strong background in additive manufacturing, particularly in the analysis of in-situ sensor data and X-ray computed tomography (CT) data. The candidate will also need to be proficient in statistical and machine learning methods to analyze complex datasets and extract meaningful insights. The role is part-time and offers a unique opportunity to contribute to cutting-edge research in the field of additive manufacturing.

Responsibilities

  • Support analysis of in-situ sensor data using MATLAB and/or Python
  • Draft presentations and written reports
  • Develop CAD and build plan designs for additive manufacturing processes

Requirements

  • Prior experience in AM in-situ sensor data analysis is required
  • Prior experience in analysis of X-ray computed tomography (CT) data required
  • Prior experience utilizing statistical and machine learning methods

Nice-to-haves

  • Proficiency in MATLAB
  • Proficiency in SOLIDWORKS
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