Engineering/Science Postdoctoral Fellow
Listed on 2026-05-26
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Engineering
Research Scientist -
Research/Development
Research Scientist
Engineering/Science Postdoctoral Fellow About the Opportunity
The Postdoctoral Research Associate will engage in both fundamental and applied research in the field of advanced manufacturing, with direct relevance to aerospace light weighting, hypersonic systems, and naval shipbuilding. The Fellow will contribute to ongoing research programs by developing experimental methodologies, computational models, and performing hands‑on laboratory investigations. Key responsibilities include generating high‑impact scientific publications and technical reports, contributing to additive manufacturing workforce development programs, and mentoring undergraduate and graduate students engaged in related projects.
The Fellow will work in close collaboration with Professor Andrew Neils on the Roux Institute's Engineering team at both the Portland, ME and Brunswick, ME campuses. This position will support several projects funded by the U.S. Department of Defense. Background checks and other clearances may apply.
The Roux Institute is designed as an engine of innovation, talent‑building, and economic growth for Portland, Maine, and northern New England. It nurtures an environment for high‑impact research and innovation in computer and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is the cornerstone of our education and research model, with leading companies involved from day one.
We are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high‑growth sectors. Together, we envision an innovation corridor that will, in the coming years, stretch from Boston to Portland and beyond.
The Postdoctoral Research Associate will engage in both fundamental and applied research in advanced manufacturing, with direct relevance to aerospace light weighting, hypersonic systems, and naval shipbuilding. The Fellow will contribute to ongoing research programs by developing experimental methodologies, computational models, and performing hands‑on laboratory investigations. Key responsibilities include generating high‑impact scientific publications and technical reports, contributing to additive manufacturing workforce development programs, and mentoring undergraduate and graduate students engaged in related projects.
The Fellow will work in close collaboration with Professor Andrew Neils on the Roux Institute's Engineering team at both the Portland, ME and Brunswick, ME campuses. This position will support several projects funded by the U.S. Department of Defense. Background checks and other clearances may apply.
- Ph.D. earned in mechanical engineering, materials science, physics, or a closely related discipline.
- Demonstrated expertise in the characterization and testing of crystalline materials, including metals and ceramics.
- Strong background in additive manufacturing processes and the mechanics of materials.
- Ability to work both independently and as part of a multidisciplinary team.
- Familiarity with data‑driven engineering methods, particularly those leveraging artificial intelligence or machine learning.
- Design and execute experimental investigations into process‑structure‑property relationships for advanced engineering materials (e.g., high temperature refractory alloys and their coatings).
- Develop curriculum and deliver hands‑on cold spray additive manufacturing training and lab technician instruction as part of active Department of Defense workforce development programs.
- Operate cold spray additive manufacturing systems, with occasional contributions to powder bed fusion and directed energy deposition programs.
- Collect process and property data and develop data architectures and tools for automating data analysis. Relevant software platforms include Matlab and Python.
- Develop physics‑based computational models…
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