Post-Doctoral Associate in the Division of Engineering - Dr. Borja García d
at New York University
Abu Dhabi, أبو ظبي, United Arab Emirates -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 04 May, 2025 | Not Specified | 04 Feb, 2025 | N/A | Machine Learning,Python,Data Science,Construction Management,Computer Science,Headsets,C++,Civil Engineering | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
DESCRIPTION
The S.M.A.R.T. Construction Research Group at NYU Abu Dhabi is seeking applications for an open-rank research position of a Post doctoral associate focused on advancing smart digital technologies to optimize construction and civil infrastructure projects. This position offers an exciting opportunity to lead and contribute to cutting-edge research in digital twins, immersive technologies (VR/AR/MR), data driven decision-making, and construction progress monitoring and tracking.
QUALIFICATIONS
Candidate must have the required degree PhD for Postdoc or equivalent in Civil Engineering, Construction Management, Computer Science, Data Science, or a related field. Expertise in digital twins, machine learning, and data visualization tools. Experience with immersive technologies (VR/AR/MR) and application development for headsets or similar devices. Strong programming skills in Python, C++, or similar languages, and experience with simulation frameworks. For those being considered for the postdoc position, a proven track record of publishing high-quality research and contributing to interdisciplinary projects.
Responsibilities:
Developing and implementing digital twin platforms and graphical user interfaces (GUIs) to support construction monitoring and decision-making. The role involves leveraging machine learning and data visualization techniques to analyze and track construction progress using diverse datasets, such as images, videos, and point clouds. Additionally, candidates will integrate immersive technologies, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), to enable real-time visualization and interaction with project data. Research will be conducted and validated through simulations and real-world case studies, pushing the boundaries of construction automation and optimization.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Construction
Site Engineering / Project Management
Construction
Graduate
Civil engineering construction management computer science data science or a related field
Proficient
1
Abu Dhabi, United Arab Emirates