A Research Associate typically has more experience than a Research Assistant. Responsibilities can include the planning and design of research projects, conducting experiments, analyzing data, contributing to research publications or grant proposals, and collaborating with other researchers. Works in a variety of fields within science or the social sciences, in programs based at a university or research institution, or works on government or industry sponsored research projects. Conducts field or library research or recruits participants for a study; may also assist with legal research. These roles are often held by people with advanced degrees in their field of study with several years of experience in research or academia.
Associate Researcher - Data Analysis University of Dayton - 4.3 Dayton, OH Job Details Full-time 18 hours ago Qualifications Software coding Programming languages
Full Job Description Job No:
503735
Work Type:
Staff Full Time (1500 hours or greater)
Location:
Dayton, OH Category:
Research Institute Staff Department:
Advanced Mfg Tech Development - 250551
Pay Grade:
R1 -
Exempt Advertised:
July 21, 2026 Applications close: August 04, 2026
Position Summary:
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
Minimum Qualifications:
A bachelor's degree in engineering or computer science from an accredited University Coding/programming skills (python preferred) Effective ability to communicate both written and verbally, work well with others, and think critically and 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:
While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following: Hands on experience in the lab with custom and commercial LPBF systems and all supporting equipment Experience with machine learning concepts Experience with image processing techniques Experience with
DREAM.3D
software Experience performing design of experiments (DOE's) and statistical analysis Demonstrated experience with laser-based manufacturing equipment in support of research Understanding of lasers and optics Demonstrated experience with sensors for dynamic processes Understanding of laser/material interaction Understanding of AM process modeling tools Demonstrated experience with data acquisition and analysis concepts Special Instructions to
Applicants:
To apply please submit a cover letter addressing each minimum qualification and any applicable preferred qualifications that you meet.
Closing Statement:
Informed by its Catholic and Marianist mission, the University is committed to the dignity of every human being. Informed by this commitment, we seek to increase diversity in all of its forms, achieve fair outcomes, and model inclusion across our campus community. The University is committed to policies of affirmative action designed to increase the employment opportunities of individuals with disabilities and protected veterans in compliance with the Rehabilitation Act of 1973 and Vietnam Era Veterans' Readjustment Assistance Act of 1973.
