Post-Doc Research Engineer in HMT

Date Posted:

2024-09-09

Country:

United States of America

Location:

UT13: RC-CT - Corp 411 Silver Lane, East Hartford, CT, 06108 USA

Position Role Type:

Unspecified

For more than 90 years the RTX Technology Research Center (RTRC) has operated as a multidisciplinary group of experts collaborating on groundbreaking innovations. Our team includes some of the world’s leading scientists, researchers and engineers working to anticipate the discoveries destined to change everything, and they transform that research into the solutions and products that help our businesses shape the future of aerospace and defense. Our unique talent, experience and resources allow us to deliver rapid responses to critical, time-sensitive challenges and develop breakthroughs for a safer, more connected world.

RTX Technology Research Center (RTRC) has a newly created position of Post-Doctoral Research Engineer in Human - Machine Teaming. In this role, you will join the Autonomous and Collaborative Systems (ACS) team in the Artificial Intelligence (AI) discipline at RTRC. The team is engaged in a wide variety of research topics with applications in Robotics, Commercial Aviation, Autonomy and Human-Machine teaming.

What You Will Do: We are looking for a highly motivated candidate eager to work in a dynamic work environment on hard, cutting edge applied research problems for both RTX and government funded projects. The appointment is for one year in duration.

The responsibilities include:

• Conducting applied research in the areas of human factors, cognitive modeling, knowledge representation, automated planning and reasoning;

• Designing and developing human subject experiments, refining research methodology, constructing databases, providing coding and statistical expertise, interpreting results to answer study questions, developing statistical plans for research protocols and proposals;

• Leading and supporting externally and internally sponsored programs, writing external and internal research proposals;

• Building relationships to support partnership with leading, worldwide institutions (university, government agencies, national labs, and professional organizations) to meet organizational objectives;

• Disseminating research results through reports, conference proceedings, presentations, and technical papers for archival journals.

The preferred candidate will have a strong understanding of science and engineering principles and a record of innovation as evidenced by patent applications, contribution to government funded basic research programs, and/or high-quality journal and conference publications in Human Factors, Cognitive Science, International Journal of Human–Computer Interaction, IEEE International Conference on Robot and human Interactive Communication (RO-MAN), ACM/IEEE International Conference on Human-Robot Interaction (HRI), Robotics: Science and Systems (RSS), IEEE Transactions on Human-Machine Systems, or other top tier research venues.

Qualifications You Must Have:

Strong background and understanding of empirically grounded theories and models of human cognition and computational architectures that attain human-level intelligence and applications of artificial intelligence techniques to autonomous systems, including 3+years’ experience in:

• Required: B.Sc. in Engineering, Computer Science, Applied Cognitive Science and Human Factors, or a related field (Statistics, Applied Math) with 5 years of experience.

• Conducting research and development with human factors;

• Planning and knowledge representation tools and methods – PDDL, HTN, Domain dependent heuristic search approaches;

• Scripting languages, including Python and R, SPSS, and/or using packages used in machine learning applications or advanced data analytics;

• Scientific programming in python.

Qualifications We Prefer:

• Ph.D. in Engineering, Computer Science, Applied Cognitive Science and Human Factors, or a related field (Statistics, Applied Math).

• Prior experience with advanced topics like epistemic reasoning, structured equation modelling, theory of mind, Bayesian approaches, causal inference; Programming: PyTorch/TensorFlow, C++, Julia, Java, ROS.

• US Citizen or Green Card holder preferred

RTX 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 Corporate, Enterprise Services, Research Center or BBN team:

What We Offer: Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

The salary range for this role is 77,000 USD - 163,000 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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