"Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) - Dr. Hanan Salam"

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. This involves leveraging data analytics and machine learning to improve learning outcomes and engagement, and developing personal GPT-powered AI tutors to provide personalized recommendations for enhanced learning experiences. The project aims to promote lifelong learning by revolutionizing traditional teaching methods and providing tools for interactive and distance learning.

Key Responsibilities:

• 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.
• Willingness to learn and confront new challenges.

Applications will be accepted on a rolling basis. For consideration, applicants need to submit in PDF format: Cover letter, Curriculum Vitae with full publication list, Research statement (1 page), Research project (1 page) explaining how the candidate sees their research fit in the lab's research axes, and at least two letters of reference. More information about Professor Hanan’s lab can be found here. If you have questions, email Prof. Hanan Salam at hanan.salam@nyu.edu. The appointment is for two years, with renewal options up to five years total, and offers competitive salary and benefits.