Path 1 Kawader: Research Assistant in the Computational Solid Mechanics Lab – Professor Mobasher’s research group
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About the Role
The Computational Solid Mechanics laboratory lead by Professor Mostafa Mobasher in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a Research Assistant to work on a fascinating project focused on the development machine\-learning powered digital twin system for the structural performance of civil engineering structures. The multidisciplinary project is co\-supervised by Professor Tarek Abdoun and Professor Borja Garcia de Soto from the Civil and U
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Overview
The Computational Solid Mechanics laboratory lead by Professor Mostafa Mobasher in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a Research Assistant to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The multidisciplinary project is co-supervised by Professor Tarek Abdoun and Professor Borja Garcia de Soto from the Civil and Urban Engineering Program. The project is a collaboration between multiple research groups and involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models.
Research project
The successful applicant is expected to work and lead multiple research projects aimed at developing machine learning based digital twins for structural and geotechnical systems.
The project will involve collaborations with multiple researchers and industrial partners.
The candidate will also work on individualized research projects under the supervision of the faculty during the duration of his/her tenure.
This position is supervised by Dr.
Mostafa Mobasher
Required Qualifications
A successful applicant must have a degree in Civil Engineering, Engineering Mechanics, or Mechanical Engineering.
Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning model development.
Preferred Qualifications
- Experience in the following will be preferred:
- The development of computational models to represent structural performance using commercial and research software tools
- The development and validation of neural network models focused on representing the structural response
- Physical experimental testing for structural and geotechnical applications
- Data acquisition and processing from monitoring systems
- Validation of modeling results against experimental and monitoring data
- CV
- Statement of interest in the position
- Transcript of degree(s)
- Two letters of recommendation
Additional Program Information
UAE nationals are encouraged to apply
This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html
Kawader is a unique, national capacity-building research fellowship program that allows outstanding graduates to gain experience in a cutting-edge academic research environment.
This three-year, individually tailored, intensive program has two distinctive paths designed for (Emirati) graduates considering a graduate degree or a career in research.
For further information or questions regarding the position/program please contact [email protected] (due to the high volume of emails received, please allow 5 working days for a response)
Equal Employment Opportunity Statement
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
Sustainability Statement
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040.
Learn more at nyu.edu/sustainability
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