Postdoctoral Associate

Duke Careers

. Develop and validate automated methods for analyzing caregiver-child interactions using computer vision, multimodal machine learning, and artificial intelligence .

Posted 9/22/2026full-timeDurham • North Carolina • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and validating automated methods for analyzing caregiver-child interactions using Computer Vision, Machine Learning, and Artificial Intelligence. Capable of conducting independent research and collaborating within interdisciplinary teams to advance behavioral assessment and autism identification.

Highest-signal resume keywords

PhD Or Equivalent Doctoral DegreeComputer VisionMachine LearningArtificial IntelligenceMultimodal Data Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computational Behavioral ScienceData ScienceBiomedical EngineeringComputational PsychologyBehavioral Feature ExtractionAnalytical Pipeline DevelopmentBehavioral Measure ValidationDigital Behavioral AssessmentResearch DesignStatistical Analysis

Soft Skills

Analytical SkillsCommunication SkillsProblem-Solving SkillsMentoring Skills

Tools & Technologies

Video AnalysisAudio AnalysisPose EstimationSensor DataBehavioral Data

Industry Keywords

Naturalistic Developmental Behavioral InterventionsAutism ResearchDevelopmental ScienceDigital HealthInterdisciplinary Research

About the role

Key responsibilities & impact

Develop and validate automated methods for analyzing caregiver-child interactions using computer vision, multimodal machine learning, and artificial intelligence
Create scalable approaches to measure shared visual attention, caregiver positioning, speech, and dyadic engagement using video, audio, pose, and object information
Design, implement, and evaluate computational models and reproducible analytical pipelines
Validate automated behavioral measures against expert human coding standards
Develop approaches supporting objective measurement of caregiver intervention fidelity and child behavioral outcomes within Naturalistic Developmental Behavioral Interventions
Contribute to SenseToKnow computational method development and behavioral feature extraction
Develop and refine computational models supporting digital behavioral assessment and autism identification
Collaborate with multidisciplinary researchers on studies, publications, and future research initiatives
Translate advanced computational methods into scalable real-world applications
Partner with experts in child development, psychiatry, engineering, computer vision, and machine learning
Contribute to study design, scientific strategy, and interdisciplinary research planning
Prepare manuscripts for peer-reviewed journals
Present findings at scientific meetings and conferences
Contribute to grant proposals and future research opportunities
Mentor students and research staff as appropriate
Conduct independent research supporting progression toward an academic or research-focused career
Maintain research records and ensure compliance with Duke research policies and standards

Requirements

What you’ll need

PhD or equivalent doctoral degree (ScD, MD, DVM, or related terminal degree)
Strong background in one or more of: Computer Vision, Machine Learning, Artificial Intelligence, Computational Behavioral Science, Data Science, Biomedical Engineering, Computational Psychology, or related quantitative disciplines
Demonstrated ability to conduct independent research and contribute to collaborative scientific initiatives
Excellent analytical, communication, and problem-solving skills
Preferred: experience with multimodal data sources such as video, audio, pose, sensor, or behavioral data
Preferred: experience developing machine learning models for human behavior analysis
Preferred: interest in autism research, developmental science, digital health, or behavioral assessment
Preferred: publication record demonstrating scholarly productivity
Preferred: experience working within interdisciplinary research environments

Benefits

Comp & perks

Equal Opportunity Employer committed to providing employment opportunity without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status
Reasonable accommodation information and provision available upon request
Collaborative academic community committed to excellence, innovation, inclusion, and impact