Research Intern, Machine Learning for Fluid Dynamics
|Published||March 28, 2023|
|Location||East Hartford, United States of America|
Position Role Type:
About Raytheon Technologies
Raytheon Technologies Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises four industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, Raytheon Intelligence & Space, and Raytheon Missiles & Defense. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics, and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia.
To realize our full potential, Raytheon Technologies is committed to creating a company where all employees are respected, valued, and supported in the pursuit of their goals. We know companies that embrace diversity in all its forms not only deliver stronger business results, but also become a force for good, fueling stronger business performance and greater opportunity for employees, partners, investors, and communities to succeed.
The following position is to join the Raytheon Technologies Research Center (RTRC)
The Technology & Global Engineering (T&GE) organization is comprised of the global engineering function, several focused centers of expertise, and our advanced Research & Development Facility – the Research Center. By combining a passion for science with precision engineering, we create smart, sustainable solutions that prove we can do the big things the right way.
RTRC’s aerodynamics and acoustics discipline encompasses a critical mass of numerical simulation and design optimization capabilities and experimental facilities to develop novel and innovative technologies for advanced propulsion and aircraft systems, including high-speed flight vehicles.
The Summer 2023 Fluid Dynamics Data Scientist Intern will be responsible for one or more of the following activities:
- Establish and implement machine learning approaches for turbulence closure modeling in Reynolds Averaged Navier Stokes (RANS) and Large Eddy Simulation (LES)
- Embed physics-based constraints in deep learning architectures for design and control purposes
- Leverage real-world product data to train and validate machine learning models
- Present research accomplishments in the form of presentations and written publications
Qualifications & Competencies
The preferred candidate should have an elaborate understanding of machine learning opportunities in physical sciences to support new aero-thermal research. The candidate must be able to work effectively in a multidisciplinary, collaborative team environment focused on innovation and possess a variety of skills including:
- Presentation, planning, problem solving, project management and decision-making skills
- Advanced mathematics, data analysis, and machine learning skills
- Experience with Computational Fluid Dynamics (CFD) methods and applications
- Coding expertise with Python
Education & Experience
Preference will be given to candidates currently enrolled in a Master's degree or Ph.D. degree program or those who are currently pursuing their Bachelor’s degree with a publication record in the field of fluid dynamics and/or machine learning. A minimum 3.5 GPA is required.
- US permanent residency (Green card) or US-citizenship is required.