The University of Dayton Research Institute's (UDRI) Advanced Manufacturing Technology Development (AMTD) group is seeking an engineer/scientist to drive and manage research in data analysis for metal additive manufacturing (AM). This work will advance novel research focused on sensor-based in-situ process monitoring, data correlation to end part quality, data driven machine parameterization, and data management solutions.
This position will perform research designed to advance current understanding of the effects of laser manufacturing processes on materials through sensor development, implementation, data collection, and data analysis. Work activities may include:
- Developing analysis tools to extract physical meaning from in-situ process data
- Developing machine learning algorithms to drive correlation between in-situ process data and end part quality, particularly NDE
- Data fusion, registration, and calibration of various data streams
- Planning and executing design of experiments, particularly involving unique, cutting edge, LPBF strategies
- Building and routing of specimens for data collection, characterization, testing, and correlation
- Interfacing with data collection and management tools for large datasets
- Integrating and modifying in-situ process sensors
- Operating, in-situ sensors/suites for laser powder bed fusion machinery
- Developing new sensing modalities for understanding of the laser powder bed fusion process
