Description:
The Center For Interdisciplinary Data Science And Artificial Intelligence (CIDSAI) At NYU Abu Dhabi Seeks To Recruit a Motivated And Passionate Post-doctoral Associate To Work Under The Supervision Of Dr. Hanan Salam On The
- Development of an Augmented Smart Classroom for Personalized Learning (SmartClass) serving as a test-bed for the collection and analysis of students and professors data, leveraging on data analytics and machine learning to improve learning outcomes and engagement in the classroom, and
- Development of personal GPT-powered AI tutors that use the knowledge from (1) to provide personalized recommendations and improve the overall learning experience for students. The project seeks to promote lifelong learning by revolutionizing traditional teaching methods and providing innovative tools for interactive and distance learning.
Key Responsibilities
Research
- Conduct research and development on the Augmented Smart Classroom (SmartClass) 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 that support 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 dissemination of research outcomes in academic and educational technology forums.
- Mentor undergraduate and graduate students involved in the research project, fostering a collaborative and productive research environment.
- Stay up to date with the latest advances in AI in education, human-AI interaction, and personalized learning technologies.
Minimum Qualifications
- Currently has 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 at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer Vision and speech processing, multimodal signals processing and fusion;
- Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice;
- First-author peer-reviewed published papers (or under review);
- Excellent communication skills in English (oral and written communication)
- Willingness and capacity to work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students
- Self-motivated with an ability to work independently and in a team to get the work done.
- Willingness to learn and confront new challenges.