Astronautical Engineer - Space Systems, Simulation, and Policy Analysis

Job Type:

Position Description

Are you passionate about applying your engineering expertise to address critical national security and space policy challenges? RAND is seeking talented Astronautical Engineers to join our multidisciplinary research teams and contribute to impactful studies that inform decisionmakers and strengthen national security.

RAND researchers contribute to and lead innovative projects that deliver objective, reliable insights for the public and decisionmakers at multiple levels to strengthen the nation's economy and enhance its security. Our engineers serve on multidisciplinary teams and bring their technical expertise to bear on a wide range of the most important policy problems.

Why RAND?

· Reputation for Excellence: Be part of a non-profit, non-partisan organization renowned for its rigorous and objective research.

· Dynamic Opportunities: Collaborate in multidisciplinary teams on diverse projects that challenge and expand your skills.

· Poised for Impact: Your analysis will inform thousands of policymakers, clients, and other stakeholders around the world.

Responsibilities:

As an Astronautical Engineer at RAND, you will:

Research and Analysis

• Develop research approaches to solve complex policy and technical problems.

• Execute research using a broad range of analytically rigorous quantitative and/or qualitative methods.

• Interpret and synthesize research results to support decision-making on space and defense policy issues.

Communication and Collaboration

• Communicate findings clearly through written reports, briefings, and presentations.

• Work effectively as part of a multidisciplinary team of engineers, scientists, and policy analysts.

Technical Focus Areas

• Assess current and future space systems (e.g., satellites, missiles, spacecraft) in support of the Department of War and other sponsors.

• Conduct analyses in one or more of the following areas:

  • Space systems performance, orbital mechanics, and requirements assessments

  • Space mission design, analysis, and optimization

  • Missile defense

  • Modeling, simulation, and mathematical modeling

• Apply knowledge in spacecraft design, astrodynamics, propulsion, controls, bioastronautics, autonomous systems, and related technologies.

Qualifications

All research positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively in English, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity.

Successful applicants will have evidence of strong skills in astronautical engineering, as demonstrated through experience in spacecraft programs and research centers; presentations and publication records; and coursework. Candidates should have experience in:

• Spacecraft systems and design, including a fundamental understanding of astrodynamics, propulsion, and power and flight controls across a range of conditions.

• Evaluating space systems, missions, and technology for concept development, cost, or effectiveness (e.g., survivability, lethality, etc.)

• Using sophisticated computer modeling and simulation (M&S) tools

• Knowledge of model-based systems engineering principles and tools (e.g., operations analysis, subsystem models, emulators, etc.).

Experience

Experience in one or more of the following areas is highly desired:

• Experience supporting higher-level analyses using classified Air Force or DoW engagement and mission M&S tools.

• Space systems performance, orbital mechanics, mission design, or missile defense

• Experience with MATLAB, Python, or similar modeling languages.

• Familiarity with military and intelligence community space mission areas and requirements.

• Research or analytic experience in government, industry, or academia

Education Requirements

A Ph.D., M.S., or B.S. in an Engineering field (or similar field such as mathematics, operations research, physical sciences, computer science, information science, or closely related di