Post-Doctoral Associate in the Division of Engineering (Computer Engineering) - Dr. Tuka Alhanai
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Key skills for this role
About the Role
NYU Abu Dhabi seeks a Post-Doctoral Associate for the Laboratory for Computer-Human Intelligence to advance research in machine learning, human-AI collaboration, and multi-modal systems.
Key Skills for This Role
Responsibilities
- Engage in innovative research projects in ML, focusing on developing novel ML algorithms
- Enhance human AI collaboration and explore systems tailored to dynamic, human centered environments
- Work with diverse signal modalities, including vision, speech, images, and physiological signals
Requirements
- PhD in Computer Science or related field, with no more than five years post receipt of the PhD
- 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)
- Excellent abilities in communication, teamwork, and mentorship
- Strong publication record in top tier conferences (e.g., NeurIPS, ICML, CHI, CVPR)
Full Job Posting
Position Overview
- The Laboratory for Computer Human Intelligence (CHI lab) in the Division of Engineering, New York University Abu Dhabi, is seeking a highly motivated Post Doctoral Associate to advance cutting edge research in machine learning (ML).
- The lab explores the intersection of artificial intelligence and human computer interaction, striving to create technologies that amplify human potential.
- 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.
Preferred Experience
- Human Centered Applications: Familiarity applying ML in areas like healthcare, education, neuro robotics, and/or assistive technologies.
- Assistive / Collaborative Robotics: Interest in developing robotic systems for rehabilitation, assistive technology, or neuro prosthetics.
- Multi Modal ML: Expertise in working with diverse data types, such as vision, speech, images, and physiological signals.
- Interdisciplinary Applications: Leveraging LLM / VLMs for interdisciplinary problems.
Qualifications
- Applicants must have a PhD in Computer Science or related field, with no more than five years post receipt of the PhD.
- 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), with evidence in the form of public (Github) repository.
- Excellent abilities in communication, teamwork, and mentorship.
- Strong publication record in top tier conferences (e.g., NeurIPS, ICML, CHI, CVPR).
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