Post-Doctoral Associate Division of Engineering; Computer Engineering - Dr. Tuka Alhanai

Overview

The Laboratory for Computer-Human Intelligence (CHI-lab, https://(Use the "Apply for this Job" box below).) in the Division of Engineering at New York University Abu Dhabi is seeking a highly motivated Post‑Doctoral Associate to advance cutting‑edge research in machine learning (ML). Our lab explores the intersection of artificial intelligence and human–computer interaction, striving to create technologies that amplify human potential.

Engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human‑AI collaboration, and exploring systems tailored to dynamic, human‑centered environments. Work with diverse signal modalities, including vision, speech, images, and physiological signals.

• Human‑Centered Applications: familiarity applying ML in areas such as healthcare, education, neuro‑robotics, or assistive technologies; prior experience in physiological signal processing (e.g., EMG, EEG, ECG); familiarity with HCI principles and usability studies.
• Assistive / Collaborative Robotics: interest in developing robotic systems for rehabilitation, assistive technology, or neuro‑prosthetics, leveraging ML to improve precision and adaptability in user interactions; knowledge of deploying robots in shared work spaces, focusing on safety and human‑robot team efficiency.
• Multi‑Modal ML: expertise working with diverse data types, such as vision, speech, images, and physiological signals; experience integrating multiple modalities to build robust AI systems.
• Interdisciplinary Applications: leveraging LLMs / VLMs for interdisciplinary problems, such as AI‑driven scientific discovery, automating hypothesis generation in finance, natural sciences, or physical sciences, and enhancing collaborative workflows in complex organizational settings.

• PhD in Computer Science or a related field with no more than five years post‑receipt of the PhD.
• Experience in one or more ML domains (deep learning, reinforcement learning, or human‑centered ML).
• Proficiency in programming languages (e.g., Python) and ML frameworks (Tensor Flow, PyTorch) with evidence such as a public Git Hub repository.
• Excellent communication, teamwork, and mentorship abilities.
• Strong publication record in top‑tier conferences (NeurIPS, ICML, CHI, CVPR).

Comprehensive benefits package, including a generous relocation allowance, educational assistance for dependents, health and wellness services, and support for dual‑career families.

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis.

All interested persons are encouraged to apply for vacant positions at all levels.

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