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Research Programmer/Analyst - Robotics Institute

Carnegie Mellon University

Salary not specified
Aug 22, 2025
Pittsburgh, PA, US
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Carnegie Mellon University is seeking a Research Programmer/Analyst to investigate new algorithms and models for human behavior analysis and modeling using computer vision and machine learning, aiming to connect different science disciplines.

Requirements

  • Computer vision
  • Machine learning
  • Multimodal machine learning algorithms
  • Deep learning networks
  • Video classification
  • Behavioral cue extraction
  • Artificial intelligence

Responsibilities

  • Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused on human behavior modeling related to video classification using deep learning networks for end-users.
  • Develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings.
  • Design of efficient perceptual algorithms for behavioral cue extraction.
  • Develop novel approaches for the modeling people interaction, with application to medical research and affective computing.
  • Designs, develops, tests and maintains applications or system programs.
  • Gather and provides input on functional specifications and requirements.
  • Perform approved research project tasks according to defined protocols and procedures including appropriate collection, recording, storage, and analysis of data, and reporting of results.

Other

  • PhD degree in computer science, applied mathematics or electrical engineering, with a focus on computer vision/machine learning.
  • At least three years’ experience in a research environment with at least one year in the designated specialty of research.
  • Strong interpersonal, verbal, and written communication skills.
  • Strong organization and planning skills, careful attention to detail with strong follow-through, able to prioritize and organize tasks effectively to accomplish objectives in a timely matter.
  • Enthusiastic about collaborating with partners from multiple disciplines and institutions.