The Laboratory for Computer-Human Intelligence (CHI-lab) in the Division of Engineering at the company 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.
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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 advantageous. 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 a plus.
- Interdisciplinary Applications: Leveraging LLM/VLMs for interdisciplinary problems, including AI-driven scientific discovery, automating hypothesis generation in various fields, and enhancing collaborative workflows in complex organizational settings.
Qualifications:
- 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 a public repository (e.g., GitHub).
- Excellent communication, teamwork, and mentorship abilities.
- Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, CHI, CVPR).
Application Instructions:
Applicants need to 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. For any questions, please email Prof. Tuka Alhanai at [email protected].
Language Requirements: Proficiency in English is expected.
Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Full-time
