Part-Time Internship — Information Influence & Modeling

Oak Ridge Institute for Science and Education; Fairborn (OH); Presencial; USD 20.000 - 28.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Health Insurance Supplement

Relocation Allowance

Training and Travel Allowance

Descripción de la vacante

Oak Ridge Institute for Science and Education (ORISE) in collaboration with the Air Force Research Laboratory (AFRL) offers a part-time graduate student internship. The focus is on characterizing information operations and influence, using agent-based models and sociocognitive approaches.

You will work under a mentor to develop theories and models of information spread and resilience. The role includes analyzing large datasets, implementing complex computational models, and producing

Formación

• PhD candidate in psychology, sociology, computer science, or related fields.
• Experience with experimental design using human subjects and statistical analysis.
• Strong academic and technical writing abilities.

Responsabilidades

• Analyze large time-varying and unstructured datasets.
• Implement complex computational models (e.g., complex systems, cognitive modeling).
• Design recommendations and best practices to improve resilience to information effects.

Conocimientos

Familiarity with information ops/warfa

Experimental design experience

Academic writing

Programming skills in Python, R, Julia

Statistical analysis

Educación

Doctoral degree candidate in psychology/sociology/computer science

Herramientas

Python

R

Julia

Rust

Descripción del empleo

Oak Ridge Institute for Science and Education (ORISE) in collaboration with the Air Force Research Laboratory (AFRL) offers a part-time graduate student internship. The focus is on characterizing information operations and influence, using agent-based models and sociocognitive approaches.

You will work under a mentor to develop theories and models of information spread and resilience. The role includes analyzing large datasets, implementing complex computational models, and producing