Intern: PHM and Digital Twin

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At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.

Job Summary:
We are seeking highly motivated final-year B.Tech/M.Tech students in Computer Science, Mechanical, or Aerospace Engineering with a strong foundation in Artificial Intelligence, Machine Learning, and Deep Learning. The intern will contribute to the development of deep learning-based prognostics solutions, including reliability modeling, predictive algorithm development, model validation, and technical documentation for aerospace applications.

Key Responsibilities:

Develop and validate deep learning models for prognostics.
Explore and integrate reliability modeling techniques.
Analyze datasets and perform predictive analytics.
Document technical findings and present results.

Basic Qualifications:

Final-year B.Tech/M.Tech in Computer Science, Mechanical, or Aerospace Engineering.
Strong knowledge of AI, Machine Learning, and Deep Learning.
Good programming and analytical skills.
Excellent problem-solving and communication abilities.

Internship Details:

Duration: 6–8 months
Location: Bengaluru (Onsite)

Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.  

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