Postdoctoral Associate

**Job Description**
The Postdoctoral Associate will conduct cutting-edge research in machine learning (ML) within the Laboratory for Computer-Human Intelligence (CHI-lab). The role involves developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. The research may also encompass diverse signal modalities such as vision, speech, images, and physiological signals. The lab’s focus is at the intersection of artificial intelligence and human-computer interaction, aiming to create technologies that amplify human potential.

**Skills & Abilities**
• 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).
• Familiarity applying ML in areas like healthcare, education, neuro-robotics, and/or assistive technologies (Preferred).
• Prior experience in physiological signal processing (e.g., EMG, EEG, ECG) (Preferred).
• Familiarity with HCI principles and frameworks, including conducting usability studies and designing user-centric AI systems (Preferred).
• Interest in developing robotic systems for rehabilitation, assistive technology, or neuro-prosthetics, leveraging machine learning (Preferred).
• Knowledge of deploying robots in shared workspaces, focusing on safety, cooperation, and efficiency in human-robot teams (Preferred).
• Expertise in working with diverse data types (vision, speech, images, physiological signals), and experience integrating multiple modalities to build robust AI systems (Preferred).
• Experience leveraging LLM / VLMs for interdisciplinary problems, such as AI-driven scientific discovery, automating hypothesis generation in finance / natural sciences / physical sciences, and enhancing collaborative workflows (Preferred).

**Qualifications**
Required Degree(s) in:
• Computer Science
• Related field

**Experience**
Other:
• Experience in one or more ML domains (deep learning, reinforcement learning, human-centered ML).
• Strong publication record in top-tier conferences.

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