To realize our full potential, RTX 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 our RTX Research Center (RTRC) team:

The Human Machine Interactions (HMI) team researches and develops computational models of human decision making and human computer interaction solutions for a variety of high impact real world problems in the aerospace, manufacturing, and defense industries.

The following position is to join our RTX Technology Research Center team:

We are looking for a 2025 summer intern to conduct research in Human Computer Interactions:

What You Will Do

• Design and implement Bayesian models to analyze human behavioral data from various sources including experiments, surveys, and real-world observations
• Algorithm development, software implementation and frameworks to infer underlying cognitive processes and decision-making strategies.
• Evaluate model performance and validate results using appropriate statistical methods
• Communicating research results in the form of presentations to internal and external stakeholders and presenting them as written publications.

Qualifications You Must Have

• Candidates must be currently pursuing a college degree in computer science/engineering, behavioral economics, or related field with a focus on artificial intelligence and human factors. Candidates must not graduate before August 2025. Please upload a copy of your academic transcripts with your application.
• At least one publication or presentation in top venues like CHI, AAAI, HFES, HCII.
• Prior coursework in probability and statistics and data structures
• 1+ years of coding experience in Python and familiarity with ML frameworks like Pytorch, Tensorflow
• U.S. Person (U.S. citizen, permanent resident, refugee or asylee) or eligible to obtain necessary export authorizations required. https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62

Qualifications We Prefer

• Experience in Human Computer Interactions
• Demonstrated mathematical aptitude in human cognitive modeling.
• Ability to set research direction and work independently.

Learn More & Apply Now!
Location: This position is remote.
Please consider the following role type definition as you apply for this role:
Remote: This position is currently designated as remote. However, the successful candidate will be required to work from one of the 50 U.S. states (excluding U.S. Territories). Employees who are working in Remote roles will work primarily offsite (from home). An employee may be expected to travel to the site location as needed.

The salary range for this role is 37,000 USD - 82,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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