Research Scientist in the Division Engineering in Advanced Manufacturing (Civil and Urban Engineering) - Dr. Mohamed Moustafa
PhD-level Academic / Postdoc roles on Crosslinked list a median of $100k (225 that show pay). This posting does not list pay.
Lead research in structural 3D printing, computational mechanics and vision-based structural health monitoring in a university research hub.
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Worth knowing
Why it is interesting. Combines structural 3D printing of metals, concrete and composites with drone-based infrastructure inspection in a multidisciplinary hub
Might not be for you. Civil and structural focus with little polymer-specific work; requires 5-6+ years post-PhD
Adjacent materials roleResearch in structural 3D printing (metals, concrete, composites) and advanced manufacturing; PhD in Civil, Mechanical, or Material Engineering; multi-scale material-level testing
- Seniority
- Senior
- Work
- On-site
- Type
- Full-time
- Degree
- PhD
- Experience
- 5+ yrs
- Industry
- Construction
- Role
- Academic / Postdoc
Role details
The Future-Generation of Resilient and Infrastructure Design Technology Hub (Future-GRID TecH) in the Division of Engineering at New York University Abu Dhabi, seeks to recruit one motivated research scientist with at least 5 years of post-PhD experience. The candidate will work under the supervision of Future-GRID TecH director Dr. Mohamed Moustafa to carry out cutting-edge research in the broad area of structural 3D printing (metals, concrete, and composites) and advanced manufacturing.
Computational mechanics and structural topology optimization Vision-based structural health monitoring Autonomous and drone-based infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil, Mechanical, or Material Engineering with at least 6 years of expereince. Other related field such as Computer Science, Nuclear Engineering, and Material Science are also welcomed.
Required qualifications
include: strong communication and presentation skills; a track record in writing and publishing peer-reviewed journal publications; and previous or relevant experience in mentoring or supervising undergraduate student research or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, etc. is a plus.
Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels.
The candidates will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate students, conduct high-quality “innovative and independent” experimental, analytical, and/or computational research, publish research work and results in scientific peer-reviewed journals and conferences, mentor undergraduate students, and participate in writing research grant proposals.
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