Assistant Professor — AI/ML Education Research

Johns Hopkins University; Baltimore (MD); On-site; USD 100,000 - 146,000; Full time

Job summary

Johns Hopkins University School of Education invites applications for a full-time, tenure-track Assistant Professor position in quantitative research methodology with a focus on artificial intelligence, machine learning, and NLP. The role spans master's, EdD, and PhD programs and affiliated centers.

The ideal candidate will advance AI-informed courses, guide graduate students, and develop a rigorous research program in ML/NLP within education research contexts.

Qualifications

• PhD in education, psychology, sociology, statistics, policy, computer science, or related discipline.
• Demonstrated expertise in quantitative research methodology, including study design, measurement, and statistical inference.
• Applied experience with machine learning methods, including model development and evaluation.
• Experience with natural language processing and/or large language models in education or social science contexts.
• Evidence of, or trajectory toward, peer-reviewed scholarly publication.
• Proficiency in programming languages, including Python and R.

Responsibilities

• Teach graduate-level courses in quantitative research methods and AI/ML-related coursework across master's, EdD, and PhD programs.
• Advise and mentor graduate students, including doctoral students conducting AI/ML-informed research.
• Maintain an active research agenda involving machine learning, NLP, and/or LLM methods applied to substantive research questions.
• Lead school-wide efforts to ensure AI and computational methods are used transparently, accurately, and ethically.
• Contribute to the intellectual and methodological direction of AI and interdisciplinary initiatives.
• Collaborate with faculty across units and centers on interdisciplinary research and grant activity.
• Participate in curriculum development for quantitative methods and AI-related coursework.
• Engage in service to the department, school, and profession appropriate to rank.
• Foster connections with School of Education Research Centers.

Skills

Quantitative methods

Machine learning

NLP

Python

R

Statistical inference

Education research

Education

PhD in education, psychology, sociology, statistics, policy, or computer science

Tools

Python

R

Job description

Johns Hopkins University School of Education invites applications for a full-time, tenure-track Assistant Professor position in quantitative research methodology with a focus on artificial intelligence, machine learning, and NLP. The role spans master's, EdD, and PhD programs and affiliated centers.

The ideal candidate will advance AI-informed courses, guide graduate students, and develop a rigorous research program in ML/NLP within education research contexts.