Additive Manufacturing Researcher

2 weeks ago

Dayton, Ohio, United States University of Dayton Full time
Job Summary

The University of Dayton Research Institute's Additive Manufacturing Technology Development group is seeking a highly skilled engineer/scientist to drive and manage research in data analysis for metal additive manufacturing (AM). This is a full-time benefit-eligible position that offers a competitive salary, health insurance, retirement plan, and paid time off.

Key Responsibilities
  • Develop analysis tools to extract physical meaning from in-situ process data.
  • Develop 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.
Requirements
  • 3 years of experience in metal additive manufacturing or related field.
  • Leadership or technical mentoring experience, ability to work in a team environment, and the ability to provide technical leadership for supporting personnel and collaborators.
  • A bachelor's degree in engineering or computer science from an accredited University.
  • Coding/programming skills.
  • Effective written and verbal communication skills.
  • Ability to work well with others.
  • Strong critical thinking skills.
  • Ability to drive a project to completion with little supervision.
  • Due to the requirements of our research contracts with the U.S. federal government, candidates for this position must be a U.S. citizen.
Preferred Qualifications
  • Graduate degree in engineering or computer science.
  • Publications in the field of in-situ sensing for LPBF.
  • Proven management capabilities of research projects.
  • Ability to drive new research funding and collaboration opportunities for growing advanced material AM program at UDRI.
  • Understanding of LPBF material and part quality considerations.
What We Offer

The University of Dayton Research Institute offers a dynamic and collaborative work environment, with opportunities for professional growth and development. We are committed to diversity, equity, and inclusion, and we welcome applications from candidates who share our values.

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