Post-Doctoral Associate in the Division of Engineering - Dr. Borja García de Soto
Abu Dhabi
New York University
Description
Description
The S.M.A.R.T. Construction Research Group at NYU Abu Dhabi is seeking applications for a 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.
Responsibilities include:
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.
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.
About the S.M.A.R.T. Construction Research Group
The S.M.A.R.T. Construction Research Group is a dynamic and interdisciplinary research group led by Prof. Borja García de Soto. The core topics of the S.M.A.R.T. Construction Research Group are Sustainable and resilient construction, Modularization and lean construction, Artificial intelligence, Robotic systems and automation, Technology integration and information modeling.
Application Instructions
The terms of employment are competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, research statement, and at least 2 letters of recommendation, all in PDF format. If you have any questions, please email: garcia.de.soto@nyu.edu.
About NYUAD:
NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.
EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer
UAE Nationals are encouraged to apply.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data visualization Engineering Machine Learning PhD Postdoc Privacy Python R Research VR
Perks/benefits: Career development
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