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Simulation Phd Jobs in Virginia (NOW HIRING)

SAIC

Radar Modeling Simulation Engineer

Chantilly, VA · On-site

ORA_ON_SITE Description SAIC has a funded need for a Radar Modeling Simulation Engineer to support ... PhD with 4+) * Current and Active Top Secret/SCI with the ability to obtain a Poly. (Note: The ...

SAIC

Radar Modeling Simulation Engineer

Chantilly, VA · On-site

Description SAIC has a funded need for a Radar Modeling Simulation Engineer to support a rapidly ... PhD with 4+) * Current and Active Top Secret/SCI with the ability to obtain a Poly. (Note:The ...

SAIC

Radar Modeling Simulation Engineer

Chantilly, VA · On-site

Description SAIC has a funded need for a Radar Modeling Simulation Engineer to support a rapidly ... PhD with 4+) * Current and Active Top Secret/SCI with the ability to obtain a Poly. (Note: The ...

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What are the key skills and qualifications needed to thrive as a Simulation PhD, and why are they important?

To thrive as a Simulation PhD, you need advanced expertise in simulation modeling, mathematics, and data analysis, usually supported by a doctoral degree in a relevant field such as engineering or computer science. Proficiency with technical tools like MATLAB, Simulink, Python, or specialized simulation software, along with experience in programming and statistical analysis, is essential. Strong problem-solving skills, critical thinking, and effective communication are crucial soft skills for collaborating with interdisciplinary teams and presenting complex results. These abilities are important to drive innovation, ensure accurate research outcomes, and translate simulation results into practical solutions.

What are the typical research collaboration opportunities available to a Simulation PhD within academia or industry?

Simulation PhD holders often work closely with multidisciplinary teams, including engineers, computer scientists, and domain experts, to develop and validate complex models. In academia, collaboration may involve joint research projects, co-authored publications, or participation in research consortia. In industry, Simulation PhDs might partner with product development teams, data analysts, or IT professionals to solve real-world problems and optimize processes. These collaborations not only enhance research impact but also provide valuable networking and career advancement opportunities.

What is a Simulation PhD?

A Simulation PhD is a doctoral degree focused on the development, application, and analysis of simulation techniques across various fields such as engineering, physics, computer science, or healthcare. Students in this program conduct advanced research to create or improve models that simulate real-world processes or systems. The degree typically involves coursework, comprehensive exams, and an original dissertation contributing new knowledge to the field of simulation. Graduates often pursue careers in academia, research, industry, or government, where they apply simulation to solve complex problems.
What job categories do people searching Simulation Phd jobs in Virginia look for? The top searched job categories for Simulation Phd jobs in Virginia are:
What cities in Virginia are hiring for Simulation Phd jobs? Cities in Virginia with the most Simulation Phd job openings:
Simulation Phd jobs near you
Modeling and Simulation Engineer - RF/EW with Security Clearance

Modeling and Simulation Engineer - RF/EW with Security Clearance

Kavaliro

Arlington, VA

Contractor

Posted 15 days ago

Job description

Position Overview
We are seeking a highly skilled Modeling & Simulation Lead Engineer to support advanced research and development initiatives for a government customer. This individual will play a critical role in designing, developing, and implementing complex simulation models across RF/Electronic Warfare (EW) and power systems domains. The ideal candidate brings deep technical expertise, utility industry experience, and a strong background in integrated resource planning and grid modeling.
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Key Responsibilities
1. Lead the development, configuration, and execution of advanced modeling and simulation environments for RF/EW and power systems applications
2. Build and maintain high-fidelity models using tools such as FEKO, PSS®E, and SINCAL
3. Support grid software modeling efforts, including power flow, stability, and contingency analysis
4. Utilize additional engineering tools such as SKM, ETAP, or similar platforms for system analysis and validation
5. Drive integrated resource planning (IRP) modeling efforts, including scenario analysis and long-term system planning
6. Establish modeling frameworks, methodologies, and best practices to support scalable and repeatable simulations
7. Collaborate with cross-functional engineering teams and government stakeholders to align modeling efforts with mission objectives
8. Lead technical research and development initiatives, including prototyping and evaluation of new modeling techniques and tools
9. Provide technical oversight, mentorship, and guidance to junior engineers and analysts
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Required Qualifications
1. Master’s degree in Electrical Engineering, Mechanical Engineering, Physics, or a related technical field (PhD preferred)
2. Active Top Secret security clearance
3. 8+ years of experience in modeling and simulation, with a focus on RF/EW and/or power systems
4. Hands-on experience with FEKO for electromagnetic simulation and analysis
5. Strong proficiency with power system modeling tools such as PSS®E and SINCAL
6. Experience with additional tools such as SKM, ETAP, or similar power engineering software
7. Prior experience working for or supporting an electric utility, including integrated resource planning (IRP)
8. Demonstrated ability to lead modeling and simulation efforts from concept through implementation
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Preferred Qualifications
1. PhD in a relevant technical discipline
2. Experience supporting government or defense-related R&D programs
3. Familiarity with multi-domain modeling (e.g., coupling RF/EW with power systems or other physical systems)
4. Experience developing custom models or integrating multiple simulation platforms
5. Strong programming/scripting skills (e.g., Python, MATLAB)

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