Job Description

Responsibilities:

Conduct research in Digital Engineering, Digital Twins, Artificial Intelligence, and complex systems modeling; develop innovative methodologies, algorithms, and frameworks;
Develop, integrate, validate, and analyze multi-fidelity models and digital twin environments for complex systems and systems of systems applications;
Develop research proposals, technical reports, journal manuscripts, conference papers, and project deliverables for sponsors and stakeholders;
Collaborate with faculty, industry, and government partners on sponsored research projects and technology transition activities;
Mentor graduate students and research staff; support research planning, technical reviews, and laboratory development activities; and
Other duties as assigned.
Required Qualifications:

Master’s degree in related field;
Experience conducting research in Digital Engineering, Digital Twins, AI, modeling and simulation, or systems engineering;
Demonstrated record of technical publications and research accomplishments;
Experience developing computational models and simulations for complex systems;
Knowledge of Digital Engineering principles, frameworks, standards, and tools;
Knowledge of systems engineering and lifecycle management of complex systems;
Knowledge of Digital Twin architectures, simulation, and model integration approaches;
Knowledge of Artificial Intelligence and Machine Learning techniques applicable to engineering systems;
Skill in developing computational models, simulations, and analytical tools;
Skill in technical writing, proposal development, and scholarly publication;
Skill in programming and software development using languages such as Python, MATLAB, Java, or similar;
Ability to conduct independent and collaborative research;
Ability to integrate heterogeneous and multi-fidelity models into unified digital and cloud based environments;
Ability to communicate complex technical concepts effectively to technical and non-technical audiences;
Ability to manage multiple research projects simultaneously; and
US Citizenship is required due to sponsor funding restriction.
Preferred Qualifications:

Terminal degree in a related field;
1-2 years of postdoctoral, academic, government, or industry research experience;
Experience securing and managing sponsored research funding;
Experience with MBSE, SysML, Digital Thread, and Digital Twin technologies;
Experience integrating AI methods into operational digital engineering ecosystems;
Experience with cloud-based digital engineering environments and high-performance computing;
Experience mentoring graduate students and research personnel;
Knowledge of Model-Based Systems Engineering (MBSE) methodologies;
Knowledge of SysML, UML, Cameo Systems Modeler, MagicDraw, or similar modeling platforms;
Knowledge of CAD and PLM tools such as Creo, Windchil etc.;
Knowledge of AI-enabled decision support, autonomous systems, explainable AI, and generative AI applications in engineering; and
Ability to lead interdisciplinary research teams and large-scale sponsored projects.