The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi is seeking to recruit a motivated and passionate Post-doctoral Associate to work under the supervision of Dr. Hanan Salam. The primary focus will be on the development of an Augmented Smart Classroom for Personalized Learning (SmartClass). This project involves leveraging data analytics and machine learning to enhance learning outcomes and engagement in educational settings.
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Location: New York University Abu Dhabi, Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Contract, with the option to renew after two years depending on performance (not to exceed 5 years).
Key Responsibilities:
- Conduct research and development on the Augmented Smart Classroom platform, focusing on data collection, analytics, and real-time classroom monitoring.
- Design and implement machine learning models to analyze multimodal data (e.g., student behavior, engagement, and performance) to enhance personalized learning.
- Develop and evaluate GPT-powered AI tutor systems, integrating insights from classroom data to deliver individualized learning experiences.
- Collaborate with interdisciplinary teams to create interactive, user-centered tools for both in-person and remote education environments.
- Translate research findings into practical applications that support lifelong learning and pedagogical innovation.
- Contribute to scholarly publications, grant reports, and the dissemination of research outcomes in academic and educational technology forums.
- Mentor undergraduate and graduate students involved in the research project.
- Stay up to date with the latest advances in AI in education, human-AI interaction, and personalized learning technologies.
Minimum Qualifications:
- Currently holds or is in the process of completing a PhD, MD/PhD, DPhil, or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree).
- Relevant research experience in areas such as social robotics, human-robot interaction, human-computer interaction, machine learning, affective computing, social signal processing, computer vision, and multimodal signal processing and fusion.
- Proficient programming experience in Python and libraries such as PyTorch or TensorFlow.
- First-author peer-reviewed published papers (or under review).
- Excellent communication skills in English (oral and written).
- Willingness and capacity to work in a multidisciplinary environment.
- Self-motivated with an ability to work independently and in a team.
Applications:
Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. Applicants need to submit the following in PDF format:
- Cover letter
- Curriculum Vitae with a full publication list
- Research statement highlighting past and current research experience (1 page)
- Research project (1 page) explaining how the candidate sees their research fit into the lab's research axes.
- At least two letters of reference.
Compensation:
The position offers a competitive salary higher than internationally competitive rates for Post-Doctoral positions, along with substantial benefits including generous housing, transportation and travel allowances, educational subsidies for children, full health insurance, and retirement contributions. Notably, the UAE does not levy income tax.
For additional information or questions regarding the position, please contact Prof. Hanan Salam at [email protected].
