Postdoctoral Fellowship – AI and Machine Learning for Infectious Disease Modeling

Emory University

. Conduct research at the intersection of statistical modeling, artificial intelligence, machine learning, and infectious disease epidemiology .

Posted 10/26/2026full-timeAtlanta • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling, machine learning, and infectious disease epidemiology, with a strong focus on developing innovative research methodologies and effective communication of scientific findings. Proficient in Python and R, with a commitment to interdisciplinary collaboration and public health decision-making.

Highest-signal resume keywords

PhD In Statistics, Biostatistics, Computer Science, Applied Mathematics, Physics, Artificial IntelligenceStatistical/Mathematical ModelingMachine LearningDeep LearningScientific Writing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingMachine Learning MethodsComputational MethodsEpidemic ForecastingDeep LearningProbabilistic ModelingScientific Machine LearningData AnalysisExperimental DesignResearch Methodology

Soft Skills

Strong Oral Communication SkillsExcellent Scientific Writing AbilityAbility To Work Effectively With ColleaguesInterdisciplinary Research InterestTraining And Supervising Research Staff

Tools & Technologies

PythonRScientific Computing Frameworks

Certifications & Qualifications

Doctoral Degree (Ph.D., M.D., ScD., D.V.M., DDS)

Industry Keywords

Infectious Disease EpidemiologyPublic Health Decision-MakingEpidemic ForecastingData-Driven ResearchHeterogeneous Surveillance Data Integration

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Conduct research at the intersection of statistical modeling, artificial intelligence, machine learning, and infectious disease epidemiology
Develop and apply statistical, mathematical, computational, and machine learning methods to improve understanding, inference, and prediction of infectious disease dynamics
Work on epidemic forecasting, deep learning-based simulation-based inference, generative and foundation models for epidemiology, phylodynamics, and heterogeneous surveillance data integration
Contribute to pandemic preparedness, outbreak forecasting, infectious disease surveillance, and data-driven public health decision-making
Develop independent research directions
Lead high-impact methodological and applied publications
Design and evaluate experiments
Develop new ideas that promote current research
Prepare and publish scientific manuscripts under the direction of the Principal Investigator
Operate specific equipment as needed
Teach techniques to others and train and supervise research staff as needed
Collaborate with Dr. Max Lau and researchers in Computer Science, Epidemiology, and Biology

Requirements

What you’ll need

Doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS, etc.) in an appropriate field
Excellent scientific writing ability
Strong oral communication skills
Ability to work effectively and collegially with colleagues
PhD in statistics, biostatistics, computer science, applied mathematics, physics, artificial intelligence, or another closely related quantitative field
Strong interest in applying quantitative and computational methods to infectious disease epidemiology
Strong background in statistical/mathematical modeling, machine learning, or computational methods
Experience with deep learning, probabilistic modeling, scientific machine learning, or related modern AI methods is particularly desirable
Strong interest in interdisciplinary research
Proficiency in Python and R
Experience with additional scientific computing frameworks is desirable
Strong research record and evidence of growing independence
Strong written and verbal communication skills
Curriculum vitae, statement of research interests, and contact information for two references required for application

Benefits

Comp & perks

Strong support for professional development
Conference travel support
Interdisciplinary collaboration opportunities
Support for development of independent research programs
Publication opportunities in leading methodological and scientific journals
Initial one-year appointment with expected renewal based on performance, mutual fit, and funding