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Human-Computer Interaction and Machine Learning● OpenPostdocPreview

Postdoctoral Associate in Human-Centered Machine Learning

Join NYU Abu Dhabi’s CHI-lab to develop next-generation AI systems that enhance human-AI collaboration through multimodal learning and assistive technologies.

Best for:Best for postdoctoral researchers with a PhD in Computer Science or related fields, expertise in human-centered ML, and experience in multimodal data processing or assistive technologies.

NEW YORK UNIVERSITY ABU DHABI · Abu Dhabi, United Arab Emirates · R2 · Recognised researcher
More professors at NEW YORK UNIVERSITY ABU DHABI
Human-centered AI systemsMultimodal machine learningAssistive and collaborative roboticsPhysiological signal processing (EEG, EMG, ECG)Human-AI collaboration frameworksLarge language models (LLMs) and vision-language models (VLMs) for interdisciplinary applications
This is a postdoc position — not a PhD studentship.
Deadline
Oct 28, 2026
15 days
Funding
Salaried
Generous relocation allowance, educational assistance for dependents, health and wellness services, and comprehensive benefits package.
Start date
flexible
Full-time
Location
Abu Dhabi
United Arab Emirates

Overview

This postdoctoral position at the Laboratory for Computer-Human Intelligence (CHI-lab) at New York University Abu Dhabi focuses on advancing machine learning (ML) at the intersection of artificial intelligence and human-computer interaction. The successful candidate will contribute to cutting-edge research in human-centered AI, including novel ML algorithms, human-AI collaboration systems, and applications leveraging diverse signal modalities like vision, speech, and physiological data. The role emphasizes interdisciplinary collaboration, with opportunities to work on assistive robotics, neuro-prosthetics, and LLM/VLM applications across scientific and organizational domains. The lab seeks researchers with a strong publication record and expertise in deep learning, reinforcement learning, or human-centered AI to drive impactful, user-centric innovations.

postdoctoral researchhuman-AI interactionmultimodal machine learningassistive technologiesneuro-prostheticsdeep learningreinforcement learninghuman-centered AI

What you'll do

  • Develop novel machine learning algorithms tailored for human-centered applications, including healthcare, education, and assistive technologies.
  • Design and implement AI systems that integrate multimodal data (e.g., vision, speech, physiological signals) to enhance human-AI collaboration.
  • Conduct research on assistive and collaborative robotics, focusing on precision, adaptability, and user interaction in dynamic environments.
  • Collaborate on interdisciplinary projects leveraging LLMs and VLMs for scientific discovery, hypothesis generation, or organizational workflow optimization.
  • Conduct usability studies and design user-centric AI systems informed by human-computer interaction (HCI) principles.
  • Publish research findings in top-tier conferences and journals, contributing to the lab’s reputation for innovative, impactful work.
  • Mentor junior researchers or students and contribute to the lab’s collaborative and interdisciplinary research culture.

Requirements

Degree required: PhD in Computer Science or a closely related field, with no more than five years of post-PhD experience.

Language: English; proficiency required for research communication and collaboration.

Instruction: English

Publications: Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, CHI, CVPR).

Required skills
  • Proven expertise in machine learning domains such as deep learning, reinforcement learning, or human-centered ML.
  • Strong programming proficiency in Python and experience with ML frameworks like TensorFlow or PyTorch.
  • Publicly available evidence of research contributions (e.g., GitHub repositories).
  • Experience with physiological signal processing (e.g., EEG, EMG, ECG) is highly valued.
  • Excellent communication, teamwork, and mentorship skills.
  • Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, CHI, CVPR).
Nice to have
Experience in human-centered applications such as healthcare, education, neuro-robotics, or assistive technologies.Familiarity with HCI principles and conducting usability studies.Knowledge of deploying robots in shared workspaces with a focus on safety, cooperation, and efficiency.Experience integrating multimodal data (e.g., vision, speech, images, physiological signals) into AI systems.Interest in interdisciplinary applications of LLMs/VLMs, such as AI-driven scientific discovery or collaborative workflow optimization.
Eligibility
  • PhD in Computer Science or a related field.
  • No more than five years of post-PhD experience.
  • No explicit nationality or residency restrictions, though Emirati candidates are encouraged to apply.

Funding & terms

Type
Salaried
Amount
Generous relocation allowance, educational assistance for dependents, health and wellness services, and comprehensive benefits package.
Duration
Permanent
Programme
New York University Abu Dhabi
New York University Abu Dhabi

How to apply

Deadline: 2026-10-28

Applicants must submit a cover letter, curriculum vitae with a full publication list, transcript, statement of research interests, and two letters of reference, all in PDF format. Applications should be sent via email to the specified contact.

Documents required
  • Cover letter
  • Curriculum vitae with full publication list
  • Transcript
  • Statement of research interests
  • Two letters of reference
✉Apply by email

Contact

Prof. Tuka Alhanai· Supervisor

tuka.alhanai@nyu.edu

TA
Prof.
Tuka Alhanai
Division of Engineering
Lab
Laboratory for Computer-Human Intelligence (CHI-lab)
NEW YORK UNIVERSITY ABU DHABI
United Arab Emirates
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