RTX
6 days ago
Summer 2025, Intern: Human Computer Interactions UT82: UT-CA-Corp Remote Location, Remote City, CA, 94203 USA
RTX
Date Posted:
2024-11-11Country:
United States of AmericaLocation:
UT82: UT-CA-Corp Remote Location, Remote City, CA, 94203 USAPosition Role Type:
RemoteRTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 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, VA.
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.
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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