CareersInGulf.com – Top Gulf Job Portal | Find the Latest Jobs in Dubai, UAE, Saudi Arabia, Oman, Qatar, Bahrain, Kuwait & GCC. The Best Free Job Posting Site in Dubai & the Middle East.

jobs in UAE Dubai Abu Dhabi Sharjah Ajman

UAE JOBS

Jobs in Saudi Arabia

Saudi Jobs

jobs in kuwait

Kuwait Jobs

jobs in oman

Oman Jobs

jobs in Qatar

Qatar Jobs

jobs in bahrain

Bahrain Jobs

Dubai Jobs

Abudhabi Jobs

Sharjah Jobs

RAK Jobs

UAQ Jobs

Fujairah Jobs

Riyadh Jobs

Dammam Jobs

Jobs for Indians

Jobs for Pakistanis

Jobs for Philippines

Jobs for other Nationalities

Post jobs for free on the best job site in UAE & GCC – Sign up now & get 10 Free Job Posting Credits!



Research Assistant - Computational Solid Mechanics Job Vacancy in UAE Abdu Dhabi

Posted date [2025-02-16]   (ID: 33495)
Gulf and UAE company jobs
New York University Abu Dhabi (NYUAD) is a globally recognized institution pioneering a transformative model of higher education. As part of the prestigious NYU global network, NYUAD offers an exceptional liberal arts and sciences education, fostering intercultural understanding and leadership.

Located in the heart of Abu Dhabi, NYUAD is dedicated to groundbreaking research and graduate education, addressing critical local and global challenges through interdisciplinary collaboration. It plays a vital role in shaping a sustainable, knowledge-based economy in the UAE and advancing NYU’s mission as a model university for the 21st century.

NYUAD maintains the highest standards of academic excellence, innovation, and inclusivity, welcoming students and faculty from around the world. The university provides a dynamic environment for learning, research, and professional development in one of the world’s fastest-growing educational and cultural hubs.

For more information on career opportunities at NYU Abu Dhabi, visit the official website: http://nyuad.nyu.edu/en/

You can now provide the first NYU Abu Dhabi job post for improvement....

New York University Abu Dhabi is seeking a Research Assistant to join the Computational Solid Mechanics Lab under the supervision of Professor Mostafa Mobasher. This role involves cutting-edge research on machine-learning-powered digital twin systems for civil engineering structures. The position is part of an interdisciplinary project co-supervised by Professor Tarek Abdoun and Professor Borja Garcia de Soto, focusing on structural and geotechnical modeling, machine learning, structural sensing, and computational model validation.

Job Location: Abu Dhabi, United Arab Emirates
Industry: Higher Education, Research
Function: Civil Engineering, Computational Mechanics, Machine Learning
Salary: Competitive, based on experience
Job Type: Full-Time, Research
Gender: Any

Responsibilities

- Conduct research on machine-learning-based digital twins for structural and geotechnical systems.
- Develop computational models for structural performance using commercial and research software.
- Implement and validate neural network models for structural response prediction.
- Perform physical experimental testing in structural and geotechnical applications.
- Acquire and process data from monitoring systems for structural health assessment.
- Validate modeling results against experimental and monitoring data.
- Collaborate with faculty, researchers, and industrial partners on multidisciplinary projects.
- Publish research findings in peer-reviewed journals and present at academic conferences.

Job Requirements

- Bachelor’s or Master’s degree in Civil Engineering, Engineering Mechanics, or Mechanical Engineering.
- Research experience in structural modeling and machine learning development.
- Proficiency in computational modeling tools and software.
- Strong programming skills in Python, MATLAB, or relevant machine learning frameworks.
- Knowledge of data acquisition and signal processing techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.

Preferred Qualifications

- Experience in geotechnical engineering applications.
- Expertise in deep learning and neural network model development.
- Hands-on experience with experimental structural testing and validation techniques.
- Prior experience with real-world data applications in civil and urban engineering.

Benefits

- Competitive salary with housing allowance.
- Annual home-leave travel and medical insurance.
- Access to world-class research facilities and collaboration opportunities.

About NYU Abu Dhabi

NYU Abu Dhabi is a globally recognized research university fostering academic excellence and innovation. The institution provides faculty and researchers with world-class resources, interdisciplinary collaboration, and access to a dynamic intellectual community. NYUAD is an equal-opportunity employer, encouraging diversity and inclusion in all academic appointments.

Applications are accepted immediately and reviewed on a rolling basis. UAE nationals are encouraged to apply.
Job Title Research Assistant - Computational Solid Mechanics
Job Description New York University Abu Dhabi is seeking a Research Assistant to join the Computational Solid Mechanics Lab under the supervision of Professor Mostafa Mobasher. This role involves cutting-edge research on machine-learning-powered digital twin systems for civil engineering structures. The position is part of an interdisciplinary project co-supervised by Professor Tarek Abdoun and Professor Borja Garcia de Soto, focusing on structural and geotechnical modeling, machine learning, structural sensing, and computational model validation.

Job Location: Abu Dhabi, United Arab Emirates
Industry: Higher Education, Research
Function: Civil Engineering, Computational Mechanics, Machine Learning
Salary: Competitive, based on experience
Job Type: Full-Time, Research
Gender: Any

Responsibilities

- Conduct research on machine-learning-based digital twins for structural and geotechnical systems.
- Develop computational models for structural performance using commercial and research software.
- Implement and validate neural network models for structural response prediction.
- Perform physical experimental testing in structural and geotechnical applications.
- Acquire and process data from monitoring systems for structural health assessment.
- Validate modeling results against experimental and monitoring data.
- Collaborate with faculty, researchers, and industrial partners on multidisciplinary projects.
- Publish research findings in peer-reviewed journals and present at academic conferences.

Job Requirements

- Bachelor’s or Master’s degree in Civil Engineering, Engineering Mechanics, or Mechanical Engineering.
- Research experience in structural modeling and machine learning development.
- Proficiency in computational modeling tools and software.
- Strong programming skills in Python, MATLAB, or relevant machine learning frameworks.
- Knowledge of data acquisition and signal processing techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.

Preferred Qualifications

- Experience in geotechnical engineering applications.
- Expertise in deep learning and neural network model development.
- Hands-on experience with experimental structural testing and validation techniques.
- Prior experience with real-world data applications in civil and urban engineering.

Benefits

- Competitive salary with housing allowance.
- Annual home-leave travel and medical insurance.
- Access to world-class research facilities and collaboration opportunities.

About NYU Abu Dhabi

NYU Abu Dhabi is a globally recognized research university fostering academic excellence and innovation. The institution provides faculty and researchers with world-class resources, interdisciplinary collaboration, and access to a dynamic intellectual community. NYUAD is an equal-opportunity employer, encouraging diversity and inclusion in all academic appointments.

Applications are accepted immediately and reviewed on a rolling basis. UAE nationals are encouraged to apply.
Post Details
Job Start Date
Salary from 0.00
Salary to 0.00
Number of Vacancies 1
Location Job Location -> UAE Abdu Dhabi
Location City Abu Dhabi, United Arab Emirates
    
Desired Candidate's Profile
Gender No Preference
Nationality
Candidate Current Location
Job Classification
Job Type Job Type -> Full-time
Industry Type Job Industry -> Education
Job Function Job Functions -> Engineering
Employers Details
Company New York University
Contact Person New York University
Designation HR Manager
Telephone 026284141
Email nyuad.career(at)nyu.edu