... Monte Carlo simulations. • Some local travel required. Desired Qualifications: • Experience with modeling and simulation methodologies and tools. • Experience presenting data and results to ...
... Monte Carlo simulations. • Some local travel required. Desired Qualifications: • Experience with modeling and simulation methodologies and tools. • Experience presenting data and results to ...
Conduct Monte Carlo analysis, uncertainty modeling, and system performance sensitivity studies ... Proficiency in MATLAB/Simulink, Python, C/C++, FORTRAN or equivalent simulation frameworks ...
Conduct Monte Carlo analysis, uncertainty modeling, and system performance sensitivity studies ... Proficiency in MATLAB/Simulink, Python, C/C++, FORTRAN or equivalent simulation frameworks ...
Use quantitative and qualitative risk analysis techniques (such as Monte Carlo simulations, decision trees, and sensitivity analysis) to model potential risk scenarios and their impact on project ...
Use quantitative and qualitative risk analysis techniques (such as Monte Carlo simulations, decision trees, and sensitivity analysis) to model potential risk scenarios and their impact on project ...
Use quantitative and qualitative risk analysis techniques (such as Monte Carlo simulations, decision trees, and sensitivity analysis) to model potential risk scenarios and their impact on project ...
Use quantitative and qualitative risk analysis techniques (such as Monte Carlo simulations, decision trees, and sensitivity analysis) to model potential risk scenarios and their impact on project ...
Use quantitative and qualitative risk analysis techniques (such as Monte Carlo simulations, decision trees, and sensitivity analysis) to model potential risk scenarios and their impact on project ...
Use quantitative and qualitative risk analysis techniques (such as Monte Carlo simulations, decision trees, and sensitivity analysis) to model potential risk scenarios and their impact on project ...
Use quantitative and qualitative risk analysis techniques (such as Monte Carlo simulations, decision trees, and sensitivity analysis) to model potential risk scenarios and their impact on project ...
Use quantitative and qualitative risk analysis techniques (such as Monte Carlo simulations, decision trees, and sensitivity analysis) to model potential risk scenarios and their impact on project ...
Internship Monte Carlo Simulation information
What are the key skills and qualifications needed to thrive as an Internship Monte Carlo Simulation, and why are they important?
To thrive in a Monte Carlo Simulation internship, you need a solid background in probability, statistics, and mathematical modeling, typically supported by coursework in mathematics, engineering, or computer science. Familiarity with programming languages such as Python, MATLAB, or R, and experience with simulation software are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with team members. These competencies are crucial for accurately modeling complex systems, troubleshooting code, and translating findings into actionable insights.
What is an Internship Monte Carlo Simulation?
An Internship Monte Carlo Simulation is a training or work experience opportunity where interns use Monte Carlo simulation techniques to model, analyze, and solve complex problems involving randomness and uncertainty. Monte Carlo simulations use repeated random sampling to obtain numerical results and are widely used in fields like finance, engineering, science, and data analysis. During such an internship, participants may work on projects involving risk assessment, forecasting, optimization, or statistical analysis, often utilizing programming languages such as Python, R, or MATLAB. This experience helps interns develop practical skills in quantitative modeling, data analysis, and decision-making under uncertainty.
What are some typical projects or tasks an intern working with Monte Carlo simulation might encounter during their internship?
As an intern specializing in Monte Carlo simulation, you can expect to work on projects such as developing and running stochastic models to analyze risk, optimize processes, or predict outcomes in areas like finance, engineering, or operations. Your daily tasks may include writing code (often in Python, R, or MATLAB), analyzing simulation results, and presenting findings to team members. You'll likely collaborate closely with data scientists, analysts, and subject matter experts to refine models and interpret results. This hands-on experience will help you build both technical and communication skills, laying a strong foundation for future roles in quantitative analysis or data science.
What is the difference between Internship Monte Carlo Simulation vs Internship Data Analysis?
| Aspect | Internship Monte Carlo Simulation | Internship Data Analysis |
|---|---|---|
| Required Skills | Probability, statistics, programming (Python, R) | Statistics, data manipulation, visualization |
| Work Environment | Financial, insurance, risk modeling | Business, marketing, research |
| Industry Usage | Risk assessment, quantitative modeling | Data-driven decision making |
Internship Monte Carlo Simulation focuses on using probabilistic models to assess risks and uncertainties, often in finance or insurance. In contrast, Internship Data Analysis involves interpreting data sets to inform business decisions. Both roles require strong statistical skills but differ in application and industry focus.
What are the most commonly searched types of Monte Carlo Simulation jobs in Indiana? The most popular types of Monte Carlo Simulation jobs in Indiana are:
What are popular job titles related to Internship Monte Carlo Simulation jobs in Indiana? For Internship Monte Carlo Simulation jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Internship Monte Carlo Simulation jobs in Indiana look for? The top searched job categories for Internship Monte Carlo Simulation jobs in Indiana are:
Full-time
Posted 22 days ago
Job description
Modern Technology Solutions, Inc. (MTSI) is seeking a Modeling and Simulation Engineer Analyst to join our team, primarily working on-site in classified spaces within NSWC-Crane facilities in Central Indiana. You will help meet the requirements of our expanding customer base at NSWC-Crane and establish the nucleus for an emerging Mission Engineering capability at Crane. This includes working directly with customers, study leads and model developers to create and execute analysis plans in various simulation environments including AFSIM, SUPPRESSOR, EADSim and other mission and engagement level models. You will replicate systems or concepts under consideration for various operational scenarios using concepts of operation and behaviors. Additionally, you will define bounds for run matrix execution, carry out run execution, and perform analysis of results. You will work with a study team as well as independently within guidelines and assist less experienced team members. You will assist in AFSIM plug-in planning, modifications, and integration.
Responsibilities:
• Working in concert with other MTSI distributed Mission Engineering teams, define study questions to address areas of concern and translate into analysis plans.
• Develop models in physics simulation frameworks to represent system performance and behaviors.
• Conduct simulation runs for studies using defined run matrix and produce output.
• Assist in performing verification and validation of simulation input, output and results.
• Post-process output data into measures of merit and effectiveness to support the analysis plan objectives.
• Assist in interpretation of model results and development of presentations to deliver findings and conclusions to the customer in support of their analytical objectives.
• Assist in architecting, developing, and testing AFSIM plug-ins using C++.
Required Qualifications:
• US citizenship and a secret level security clearance is required.
• 3+ years of experience with mission-level modeling and simulation and Operations Analysis principals.
• Bachelor's degree in engineering, mathematics, operations research, computer science or similar field.
• Knowledge of modeling and simulation methodologies and tools (i.e. AFSIM, Suppressor, or EADSIM).
• Familiarization with developing experimental designs, executing study plans, and constructing scenario elements.
• Experience with object-oriented programming and principles, particularly C++.
• Experience with dev-ops and software architecture.
• Experience conducting data analytics using various tools.
• Experience with statistics and their application in Monte Carlo simulations.
• Some local travel required.
Desired Qualifications:
• Experience with modeling and simulation methodologies and tools.
• Experience presenting data and results to team members and customers.
• Experience with data visualization or visual communications.
• Experience developing AFSIM or other M&S software plug-ins with C++ or a similar language.
• Experience with ancillary disciplines such as radar operations, weapons systems, satellites, etc.
#LI-JJ1
Responsibilities:
• Working in concert with other MTSI distributed Mission Engineering teams, define study questions to address areas of concern and translate into analysis plans.
• Develop models in physics simulation frameworks to represent system performance and behaviors.
• Conduct simulation runs for studies using defined run matrix and produce output.
• Assist in performing verification and validation of simulation input, output and results.
• Post-process output data into measures of merit and effectiveness to support the analysis plan objectives.
• Assist in interpretation of model results and development of presentations to deliver findings and conclusions to the customer in support of their analytical objectives.
• Assist in architecting, developing, and testing AFSIM plug-ins using C++.
Required Qualifications:
• US citizenship and a secret level security clearance is required.
• 3+ years of experience with mission-level modeling and simulation and Operations Analysis principals.
• Bachelor's degree in engineering, mathematics, operations research, computer science or similar field.
• Knowledge of modeling and simulation methodologies and tools (i.e. AFSIM, Suppressor, or EADSIM).
• Familiarization with developing experimental designs, executing study plans, and constructing scenario elements.
• Experience with object-oriented programming and principles, particularly C++.
• Experience with dev-ops and software architecture.
• Experience conducting data analytics using various tools.
• Experience with statistics and their application in Monte Carlo simulations.
• Some local travel required.
Desired Qualifications:
• Experience with modeling and simulation methodologies and tools.
• Experience presenting data and results to team members and customers.
• Experience with data visualization or visual communications.
• Experience developing AFSIM or other M&S software plug-ins with C++ or a similar language.
• Experience with ancillary disciplines such as radar operations, weapons systems, satellites, etc.
#LI-JJ1
About Modern Technology Solutions
Sourced by ZipRecruiter
Industry
Engineering professional services
Company size
501 - 1,000 Employees
Headquarters location
Alexandria, VA, US
Year founded
1993