About Georgia Tech
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About the School of Aerospace Engineering at the Georgia Institute of Technology

The School of Aerospace Engineering (https://ae.gatech.edu/) at the Georgia Institute of Technology invites applications for a Research Engineer in aerospace engineering to support sponsored research projects in the aerospace domain, with specific emphasis on spacecraft optical navigation, astrodynamics, and space instrumentation. Daniel Guggenheim School of Aerospace Engineering has consistently ranked among the nation's top 5 aerospace engineering programs, attracting aspiring engineers to pursue their academic journeys at the Atlanta campus. With an esteemed faculty of more than 40 tenured-track professors and a thriving student body of over 2,000 individuals, the school is uniquely positioned to offer a comprehensive and hands-on approach to research, scholarship, and education, spanning fixed-wing aircraft, rotorcraft, ad space domains.


Location
Atlanta, GA

Job Summary
We are seeking a highly skilled and motivated individual to independently execute complex tasks in the areas of aircraft design, aerodynamic analysis, and operations research. The successful candidate will take ownership of in-house tools, codes, and workflows used for aircraft analysis, modeling, and simulation. They will play a key role in the development of advanced computational analysis techniques and high-fidelity simulation models. Leveraging expertise in advanced design methods and machine learning techniques, the candidate will conduct predictive modeling and analyze large datasets to uncover critical patterns and insights. The role also involves preparing detailed reports and presentations to communicate findings to project sponsors and stakeholders.

Responsibilities
Independently execute tasks using technical skills for projects in the field of aircraft design, hybrid electric aircraft design, hydrogen fuel cell powered aircraft design, fleet level analysis, and infrastructure requirement analysis.
Maintain in-house tools, codes, and workflows for aircraft analysis, modeling, and simulation tools.
Participate in the development of high-fidelity computational analysis techniques and in-house simulation models.
Use advanced design methods to perform predictive modeling.
Prepare reports and presentations for project sponsors.
Required Qualifications
A Master's degree in Aerospace Engineering, and three (3) years of relevant full-time experience after completion of that degree, or
A Master's degree in Aerospace Engineering, and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or
A Doctoral degree
Preferred Qualifications
PhD in Aerospace Engineering or related fields
3+ years of hybrid electric and hydrogen fuel cell aircraft sizing and synthesis.
2+ years of experience in sustainable infrastructure in aviation.
Experience using multi-disciplinary analysis & optimization (MDO/MDAO) tools and methods.
5+ scientific publication submission(s) for conferences, journals, or public repositories.
Experience using simulation tools for fleet level emissions analysis.
Experience developing codes (python, matlab, or another object-oriented language) for data analysis, pre and post-processing, and visualization.
Experience developing codes (python, matlab, or another object-oriented language) for developing modeling algorithms.
Experience overseeing/mentoring junior-level researchers.
Experience with surrogate modelling and projection creation.
Experience with aviation emissions analysis Experience with sustainable aircraft sizing.
Experience with fleet level modeling.
Experience with infrastructure and aircraft sizing integration for aviation sustainability.
Experience with advanced design methods such as surrogate modeling techniques, gaussian process regression, design of experiments, surrogate modeling techniques (e.g. Neural networks)
Demonstrated ability to perform research.
Proficient in Python, MATLAB, NPSS
Strong written and oral communication skills