J-1 Visa Aerospace Jobs
Aerospace roles in the U.S. typically fit the J-1 Trainee or Research Scholar category, depending on your career stage. Both require a designated State Department sponsor to issue your DS-2019. Finding a host employer willing to work within that structure is the first step toward sponsorship.
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Get Access To All JobsThe Opportunity
The Department of Aerospace Engineering at Embry-Riddle Aeronautical University (Daytona Beach Campus) invites applications for a Research Associate position. The successful candidate will contribute to an interdisciplinary research project focused on developing novel mathematical and machine learning tools for bone age classification using neural networks.
This position is ideal for a highly motivated scholar with expertise in machine learning and artificial intelligence, particularly in medical imaging applications.
Key Responsibilities:
- Conduct cutting-edge research on mathematical and computational methods for machine learning applied to bone age classification
- Develop and evaluate neural network and deep learning models for medical image analysis
- Investigate techniques to mitigate high false positive rates in AI-based classification systems
- Contribute to the development of a web-based interface for automated bone age assessment
- Publish research findings in peer-reviewed scientific journals and conferences
- Collaborate with interdisciplinary research teams
- Present work at scientific conferences (travel may be required)
Embry-Riddle: A Global Leader in Aviation and Aerospace
With vibrant campuses in Daytona Beach, FL, and Prescott, AZ—along with a Worldwide network spanning roughly 120 global locations—Embry-Riddle proudly stands as the world’s largest aviation and aerospace university. Now celebrating our 100th year, we continue to lead innovation in STEM education, serving more than 30,000 students worldwide. Our cutting-edge programs in Applied Science, Aviation, Business, Technology, Engineering, Safety, Security, and Space prepare the next generation of leaders shaping the future of flight and beyond.
Perks Await You at Embry-Riddle!
- Generous Time Off: Enjoy 9+ paid holidays, including the day after Thanksgiving and the week between Christmas Eve and New Year’s Day.
- Tuition Coverage: Get 100% tuition coverage for yourself for one undergraduate and one graduate degree, and discounted rates for your spouse and dependent children up to age 26.
- Retirement Contributions: ERAU contributes 6% of your base salary to your retirement plan and offers a 4% matching contribution – with no vesting period.
- Personal Leave: Relax with 12 days of personal leave for non-exempt employees or 18 days for exempt full-time employees in your first year.
Qualifications
Required Education and Qualifications:
- Ph.D. (or equivalent doctorate) in Machine Learning, Artificial Intelligence, Computer Science, or a closely related field
- Strong background in machine learning and AI, particularly in medical imaging applications
- Demonstrated ability in advanced mathematical methods relevant to machine learning
- Proven track record of scientific publications or strong potential to publish
- Experience with neural networks, deep learning, and related techniques
Preferred Qualifications:
- Experience with medical image analysis or healthcare-related AI systems
- Familiarity with model evaluation and techniques to reduce false positives
- Experience developing user-facing tools or web-based applications
Application process/requirements
To submit your application for this opportunity, please visit the Embry-Riddle Career Site and search for requisition number R311165. Please attach all relevant materials to your application when you apply online. Complete submissions include:
- Cover letter
- Full CV
- Contact information for at least three professional references (please note that references may be contacted as part of the interview/screening process)
Current Embry-Riddle employees: Please apply directly through the ERAU Employee Hub Central application within Workday.
Embry-Riddle is committed to fostering a workplace where all individuals are valued and respected. We strive to ensure that all faculty, staff, and students are treated fairly and provided equal opportunities for employment, advancement, compensation, training, and other benefits of employment. Embry-Riddle makes employment decisions — including hiring, promotions, compensation, and other terms of employment — based on individual merit, qualifications, and abilities. Embry Riddle is strongly opposed to discrimination and harassment, and such behavior is prohibited by university policy. Embry Riddle does not discriminate on the basis of race, color, national origin, sex, disability, veteran status, predisposing genetic characteristics, age, religion, or pregnancy status, or any other status protected by federal, state, or local law, in its employment, educational programs, admissions policies, financial aid, or other school-administered programs or activities. For further information, please visit our website.
Embry-Riddle is not seeking assistance from staffing or recruitment agencies. All agencies are directed to contact eraujobs@erau.edu and should not reach out to hiring managers or staff.
The Opportunity
The Department of Aerospace Engineering at Embry-Riddle Aeronautical University (Daytona Beach Campus) invites applications for a Research Associate position. The successful candidate will contribute to an interdisciplinary research project focused on developing novel mathematical and machine learning tools for bone age classification using neural networks.
This position is ideal for a highly motivated scholar with expertise in machine learning and artificial intelligence, particularly in medical imaging applications.
Key Responsibilities:
- Conduct cutting-edge research on mathematical and computational methods for machine learning applied to bone age classification
- Develop and evaluate neural network and deep learning models for medical image analysis
- Investigate techniques to mitigate high false positive rates in AI-based classification systems
- Contribute to the development of a web-based interface for automated bone age assessment
- Publish research findings in peer-reviewed scientific journals and conferences
- Collaborate with interdisciplinary research teams
- Present work at scientific conferences (travel may be required)
Embry-Riddle: A Global Leader in Aviation and Aerospace
With vibrant campuses in Daytona Beach, FL, and Prescott, AZ—along with a Worldwide network spanning roughly 120 global locations—Embry-Riddle proudly stands as the world’s largest aviation and aerospace university. Now celebrating our 100th year, we continue to lead innovation in STEM education, serving more than 30,000 students worldwide. Our cutting-edge programs in Applied Science, Aviation, Business, Technology, Engineering, Safety, Security, and Space prepare the next generation of leaders shaping the future of flight and beyond.
Perks Await You at Embry-Riddle!
- Generous Time Off: Enjoy 9+ paid holidays, including the day after Thanksgiving and the week between Christmas Eve and New Year’s Day.
- Tuition Coverage: Get 100% tuition coverage for yourself for one undergraduate and one graduate degree, and discounted rates for your spouse and dependent children up to age 26.
- Retirement Contributions: ERAU contributes 6% of your base salary to your retirement plan and offers a 4% matching contribution – with no vesting period.
- Personal Leave: Relax with 12 days of personal leave for non-exempt employees or 18 days for exempt full-time employees in your first year.
Qualifications
Required Education and Qualifications:
- Ph.D. (or equivalent doctorate) in Machine Learning, Artificial Intelligence, Computer Science, or a closely related field
- Strong background in machine learning and AI, particularly in medical imaging applications
- Demonstrated ability in advanced mathematical methods relevant to machine learning
- Proven track record of scientific publications or strong potential to publish
- Experience with neural networks, deep learning, and related techniques
Preferred Qualifications:
- Experience with medical image analysis or healthcare-related AI systems
- Familiarity with model evaluation and techniques to reduce false positives
- Experience developing user-facing tools or web-based applications
Application process/requirements
To submit your application for this opportunity, please visit the Embry-Riddle Career Site and search for requisition number R311165. Please attach all relevant materials to your application when you apply online. Complete submissions include:
- Cover letter
- Full CV
- Contact information for at least three professional references (please note that references may be contacted as part of the interview/screening process)
Current Embry-Riddle employees: Please apply directly through the ERAU Employee Hub Central application within Workday.
Embry-Riddle is committed to fostering a workplace where all individuals are valued and respected. We strive to ensure that all faculty, staff, and students are treated fairly and provided equal opportunities for employment, advancement, compensation, training, and other benefits of employment. Embry-Riddle makes employment decisions — including hiring, promotions, compensation, and other terms of employment — based on individual merit, qualifications, and abilities. Embry Riddle is strongly opposed to discrimination and harassment, and such behavior is prohibited by university policy. Embry Riddle does not discriminate on the basis of race, color, national origin, sex, disability, veteran status, predisposing genetic characteristics, age, religion, or pregnancy status, or any other status protected by federal, state, or local law, in its employment, educational programs, admissions policies, financial aid, or other school-administered programs or activities. For further information, please visit our website.
Embry-Riddle is not seeking assistance from staffing or recruitment agencies. All agencies are directed to contact eraujobs@erau.edu and should not reach out to hiring managers or staff.
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Aerospace
Document your aerospace training plan early
Your designated sponsor needs a detailed training plan before issuing the DS-2019. Map your engineering or research objectives to specific tasks, equipment, and supervisors at the host site. Vague plans are the most common cause of delays.
Target aerospace employers with federal contracts
Defense contractors and NASA subcontractors routinely host international trainees because their compliance frameworks already handle security clearance checks and international personnel. Focus your search on employers in that segment of the industry.
Search J-1-compatible roles on Migrate Mate
Use Migrate Mate to filter aerospace positions at U.S. employers open to exchange visitor arrangements. It surfaces roles where the host is already familiar with the J-1 structure, saving you from cold-pitching employers who have no prior experience with it.
Clarify home-residency requirement status upfront
Aerospace Trainee and Research Scholar participants whose funding comes from a government or international organization may be subject to the two-year home-country residency requirement after the program. Confirm your status with your sponsor before accepting any offer.
Align your visa category to your career stage
If you're a current student or recent graduate in an aerospace engineering program, the Intern category applies. If you've been working in the field for at least one year post-degree, you qualify as a Trainee. Choosing the wrong category forces a restart.
Verify the host employer's DS-7002 readiness
The Training and Internship Placement Plan (DS-7002) must be signed by both the host employer and the designated sponsor. Confirm the employer has completed this form before with other J-1 trainees. First-time hosts often underestimate the paperwork timeline.
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Find Aerospace JobsAerospace J-1 Visa: Frequently Asked Questions
Which J-1 program category fits aerospace professionals?
It depends on your career stage. Current students or recent graduates in aerospace engineering typically fall under the Intern category, which requires active enrollment or graduation within the past 12 months. Professionals with at least one year of post-degree aerospace work experience qualify as Trainees. Senior researchers affiliated with a university or research institute may qualify as Research Scholars.
Who actually sponsors my J-1 visa in an aerospace role?
The J-1 visa sponsor is a U.S. Department of State-designated organization, such as IIE, CIEE, Cultural Vistas, or AIPT. They issue your DS-2019 and are legally responsible for your program compliance. The aerospace company where you work is your host employer, not your visa sponsor. These are two separate entities with separate responsibilities.
How do I find aerospace employers open to hosting J-1 trainees?
Most aerospace employers don't advertise J-1 compatibility in job postings, which makes a targeted search difficult through general job boards. Migrate Mate is built specifically to surface U.S. employers and roles where international exchange visitor arrangements are a realistic option, letting you focus your outreach on employers already familiar with the host structure.
Does aerospace work trigger the two-year home-residency requirement?
Not automatically. The two-year home-country residency requirement (under INA Section 212(e)) applies when your program is government-funded, your home country has identified your field as in shortage, or you received a government scholarship. Aerospace is commonly listed in shortage fields by certain countries, so check your J-1 visa stamp for a 212(e) notation and confirm with your designated sponsor before planning any post-program steps.
Can a J-1 Trainee in aerospace work for more than one host employer?
Only if your designated sponsor approves the arrangement in advance and the DS-7002 training plan reflects both placements. Switching host employers mid-program without sponsor approval violates your J-1 status. Any change to your host site, role, or training objectives must be documented and signed off by your sponsor before the change takes effect.
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