The Laboratory for Computer-Human Intelligence (CHI-lab) in the Division of Engineering at New York University Abu Dhabi is seeking a highly motivated Postdoctoral 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.
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The successful candidate will 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. They may also work with diverse signal modalities, including vision, speech, images, and physiological signals.
Preferred Experience:
- Human-Centered Applications: 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, particularly experience conducting usability studies and designing user-centric AI systems.
- Assistive / Collaborative Robotics: Interest in developing robotic systems for rehabilitation, assistive technology, or neuro-prosthetics, leveraging machine learning to improve precision and adaptability in user interactions. Knowledge of deploying robots in shared workspaces, focusing on safety, cooperation, and efficiency in human-robot teams.
- Multi-Modal ML: Expertise in working with diverse data types, such as vision, speech, images, and physiological signals. Experience integrating multiple modalities to build robust AI systems is an advantage.
- Interdisciplinary Applications: Leveraging LLM / VLMs for interdisciplinary problems, enhancing collaborative workflows in complex organizational settings.
Qualifications:
Applicants must have a PhD in Computer Science or a related field, with experience in one or more ML domains, such as deep learning, reinforcement learning, or human-centered ML. Proficiency in programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch) is required, with evidence in the form of a public (GitHub) repository. Excellent abilities in communication, teamwork, and mentorship, along with a strong publication record in top-tier conferences (e.g., NeurIPS, ICML, CHI, CVPR), are essential.
Application Process:
Interested candidates should submit a cover letter, curriculum vitae with a full publication list, statement of research interests, and two letters of reference, all in PDF format. For any questions, please email Prof. Tuka Alhanai at [email protected].
Employment Terms:
The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately, and candidates will be considered until the position is filled.
Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates (On-site)
Work Conditions: Full-time
