Postdoctoral Associate

**Job Description**
The Laboratory for Computer-Human Intelligence (CHI-lab) in the Division of Engineering at New York University Abu Dhabi is seeking a Postdoctoral Associate to conduct cutting-edge research in machine learning (ML). The position focuses on the intersection of artificial intelligence and human-computer interaction, aiming to develop technologies that enhance human potential. This involves exploring novel ML algorithms, improving human-AI collaboration, and designing systems tailored to dynamic, human-centered environments.

**Skills & Abilities**
• Familiarity applying ML in areas like healthcare, education, neuro-robotics, and/or assistive technologies
• Prior experience in physiological signal processing (e.g., EMG, EEG, ECG) is an advantage
• Familiarity with HCI principles and frameworks
• Experience conducting usability studies and designing user-centric AI systems
• Interest in developing robotic systems for rehabilitation, assistive technology, or neuro-prosthetics
• Knowledge of deploying robots in shared workspaces, focusing on safety, cooperation, and efficiency in human-robot teams
• Expertise in working with diverse data types (vision, speech, images, physiological signals)
• Experience integrating multiple modalities to build robust AI systems is an advantage
• Experience leveraging LLM / VLMs for interdisciplinary problems (e.g., AI-driven scientific discovery, automating hypothesis generation in finance/natural sciences/physical sciences, enhancing collaborative workflows)
• Experience in one or more ML domains, such as deep learning, reinforcement learning, or human-centered ML
• Proficiency in programming languages (e.g., Python)
• Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), with evidence in the form of a public (Github) repository
• Excellent communication abilities
• Excellent teamwork abilities
• Excellent mentorship abilities
• Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, CHI, CVPR)

**Qualifications**
Required Degree(s) in:
• Computer Science
• Related field

**Experience**
Other:
• Experience in one or more ML domains, such as deep learning, reinforcement learning, or human-centered ML
• Familiarity with human-centered applications of ML (e.g., healthcare, education, neuro-robotics, assistive technologies)
• Prior experience in physiological signal processing (e.g., EMG, EEG, ECG)
• Familiarity with HCI principles and frameworks
• Experience conducting usability studies and designing user-centric AI systems
• Interest in developing robotic systems for rehabilitation, assistive technology, or neuro-prosthetics
• Knowledge of deploying robots in shared workspaces, focusing on safety, cooperation, and efficiency in human-robot teams
• Expertise in working with diverse data types (vision, speech, images, physiological signals)
• Experience integrating multiple modalities to build robust AI systems
• Experience leveraging LLM / VLMs for interdisciplinary problems
• Strong publication record in top-tier conferences

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