Junior Scientist and Science Technician II

CACI International•Town of Cortlandt, NY

9d•$58,000 - $115,900•Hybrid

About The Position

CACI is seeking a Junior Scientist and Science Technician II to support a program focused on combating evolving and emerging threats, supporting related exploitation and replication activities, and advancing operational rehearsal, exercise, wargaming, and counter system development. The role also involves integration and experimentation, including Modeling and Simulation, contributing to the U.S. and its allies' ability to develop and apply models and simulations throughout the lifecycle of military and commercial technologies and systems. This work is crucial for ensuring Warfighter readiness and the realization of future capabilities.

Requirements

Bachelor’s degree in physics or a closely related field, or 3 years relevant experience in lieu of degree.
Understanding of physical laws and theories and their application to real-world systems.
Knowledge of research methodologies and experimental design.
Familiarity with data analysis and interpretation techniques.
Basic understanding of modeling and simulation concepts.
Active Secret clearance.

Nice To Haves

Experience with military or defense-related systems.
Familiarity with Live-Virtual-Constructive (LVC) simulation environments.
Knowledge of Model-Based Systems Engineering (MBSE) tools and methodologies.
Experience with systems engineering processes (IEEE 15288).
Understanding of DOD or Army systems and operations.
Exposure to AI/ML applications in simulation environments.
Experience with SysML, MATLAB, or other technical modeling tools.

Responsibilities

Conduct research into physical phenomena and develop theories based on observation and experiments.
Support systems engineering modeling for concept of operations, behavioral analysis, and system architecture.
Assist in the development and evaluation of simulation models for weapon systems analysis.
Apply physics principles to support M&S requirements and augment test/evaluation/training exercises.
Contribute to fidelity analysis to determine appropriate models for accurate representation within system-of-systems architecture.
Support multi-domain operations effectiveness experimentation and analysis.
Collaborate with cross-functional teams including engineers, data scientists, and operations research analysts.
Participate in exercise planning and support activities.
Apply methods to develop and interpret information for technical decision-making.
Support the development of MBSE (Model-Based Systems Engineering) frameworks and analysis.