J-1 Visa Artificial Intelligence Scientist Jobs
Artificial Intelligence Scientist roles in the U.S. typically qualify for J-1 visa sponsorship under the Research Scholar or Specialist category, issued by a State Department-designated sponsor organization. Host employers range from university AI labs to federal research institutes. Exchange visitors in this field have no cap or lottery to navigate, but the two-year home residency requirement applies to many participants.
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Get Access To All JobsINTRODUCTION
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.
ABOUT THE JOB
The Lau Lab in the Department of Biostatistics and Bioinformatics at Emory University is seeking a highly motivated postdoctoral fellow to conduct research at the intersection of statistical modeling, artificial intelligence, machine learning, and infectious disease epidemiology.
The fellow will develop and apply novel statistical, mathematical, computational, and machine learning methods, with particular emphasis on deep learning and modern AI approaches, to improve our understanding, inference, and prediction of infectious disease dynamics. Potential research areas include epidemic forecasting, deep learning–based simulation-based inference, generative and foundation models for epidemiology, phylodynamics, and integration of heterogeneous surveillance data.
Projects are strongly grounded in real-world public health applications, including pandemic preparedness, outbreak forecasting, infectious disease surveillance, and data-driven public health decision-making. The fellow will have substantial opportunities to develop independent research directions and lead high-impact methodological and applied publications.
Position Details
- Start date: Spring-Summer 2027 preferred; timing is flexible for an exceptional candidate
- Initial term: 1 year, with the expectation of renewal based on performance, mutual fit, and funding
- Location: Emory University, Atlanta, Georgia
JOB DESCRIPTION
Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career. The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments. Develops new ideas that promote current research. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. May be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Appointments cannot exceed five years.
MINIMUM QUALIFICATIONS
A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator.
PREFERRED QUALIFICATIONS
- PhD in statistics, biostatistics, computer science, applied mathematics, physics, artificial intelligence, or another closely related quantitative field
- Strong interest in applying quantitative and computational methods to infectious disease epidemiology
- Strong background in statistical/mathematical modeling, machine learning, or computational methods
- Experience with deep learning, probabilistic modeling, scientific machine learning, or related modern AI methods is particularly desirable
- Strong interest in interdisciplinary research
- Proficiency in Python and R; experience with additional scientific computing frameworks is desirable
- Strong research record and evidence of growing independence
- Strong written and verbal communication skills
Candidates are not expected to have prior experience in every area listed above. Applicants with particularly strong methodological or computational backgrounds who are genuinely interested in applying their expertise to infectious disease problems are encouraged to apply.
Research Environment
The Lau Lab provides a highly collaborative and interdisciplinary research environment spanning biostatistics, epidemiology, computer science, and infectious disease dynamics. The fellow will work closely with Dr. Max Lau and will have opportunities to collaborate with leading researchers at Emory from Computer Science, Epidemiology and Biology. Postdoctoral fellows will receive strong support for professional development, including conference travel, interdisciplinary collaborations, development of independent research programs, and publication in leading methodological and scientific journals.
Application Instructions
Interested applicants should apply through the Emory portal.
Please include:
- Curriculum vitae (CV)
- Statement of research interests
- Contact information for two references. Reference letters will be requested from candidates selected for interview.
Questions may be directed to Dr. Max Lau at msy.lau@emory.edu.
Review of applications will begin immediately and continue until the position is filled.
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.
INTRODUCTION
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.
ABOUT THE JOB
The Lau Lab in the Department of Biostatistics and Bioinformatics at Emory University is seeking a highly motivated postdoctoral fellow to conduct research at the intersection of statistical modeling, artificial intelligence, machine learning, and infectious disease epidemiology.
The fellow will develop and apply novel statistical, mathematical, computational, and machine learning methods, with particular emphasis on deep learning and modern AI approaches, to improve our understanding, inference, and prediction of infectious disease dynamics. Potential research areas include epidemic forecasting, deep learning–based simulation-based inference, generative and foundation models for epidemiology, phylodynamics, and integration of heterogeneous surveillance data.
Projects are strongly grounded in real-world public health applications, including pandemic preparedness, outbreak forecasting, infectious disease surveillance, and data-driven public health decision-making. The fellow will have substantial opportunities to develop independent research directions and lead high-impact methodological and applied publications.
Position Details
- Start date: Spring-Summer 2027 preferred; timing is flexible for an exceptional candidate
- Initial term: 1 year, with the expectation of renewal based on performance, mutual fit, and funding
- Location: Emory University, Atlanta, Georgia
JOB DESCRIPTION
Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career. The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments. Develops new ideas that promote current research. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. May be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Appointments cannot exceed five years.
MINIMUM QUALIFICATIONS
A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator.
PREFERRED QUALIFICATIONS
- PhD in statistics, biostatistics, computer science, applied mathematics, physics, artificial intelligence, or another closely related quantitative field
- Strong interest in applying quantitative and computational methods to infectious disease epidemiology
- Strong background in statistical/mathematical modeling, machine learning, or computational methods
- Experience with deep learning, probabilistic modeling, scientific machine learning, or related modern AI methods is particularly desirable
- Strong interest in interdisciplinary research
- Proficiency in Python and R; experience with additional scientific computing frameworks is desirable
- Strong research record and evidence of growing independence
- Strong written and verbal communication skills
Candidates are not expected to have prior experience in every area listed above. Applicants with particularly strong methodological or computational backgrounds who are genuinely interested in applying their expertise to infectious disease problems are encouraged to apply.
Research Environment
The Lau Lab provides a highly collaborative and interdisciplinary research environment spanning biostatistics, epidemiology, computer science, and infectious disease dynamics. The fellow will work closely with Dr. Max Lau and will have opportunities to collaborate with leading researchers at Emory from Computer Science, Epidemiology and Biology. Postdoctoral fellows will receive strong support for professional development, including conference travel, interdisciplinary collaborations, development of independent research programs, and publication in leading methodological and scientific journals.
Application Instructions
Interested applicants should apply through the Emory portal.
Please include:
- Curriculum vitae (CV)
- Statement of research interests
- Contact information for two references. Reference letters will be requested from candidates selected for interview.
Questions may be directed to Dr. Max Lau at msy.lau@emory.edu.
Review of applications will begin immediately and continue until the position is filled.
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.
See all J-1 Visa Artificial Intelligence Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Artificial Intelligence Scientist Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an Artificial Intelligence Scientist
Confirm your J-1 category before applying
Research Scholar fits those with a graduate degree pursuing independent research. Specialist applies to experts in a field requiring advanced knowledge. Applying under the wrong category can delay or void your DS-2019, so verify which fits your credentials before contacting host institutions.
Build a research profile that satisfies sponsors
State Department-designated sponsors like IIE or Cultural Vistas evaluate your publication record, institutional affiliations, and research plan before issuing a DS-2019. Peer-reviewed AI publications and a clear, project-specific training plan strengthen your case significantly.
Target host employers with existing J-1 infrastructure
Universities, national laboratories, and federally funded AI research centers already have relationships with designated sponsors and understand DS-2019 timelines. Use Migrate Mate to filter for these types of employers when searching for Artificial Intelligence Scientist roles with J-1 compatibility.
Address the two-year home residency requirement early
Many AI Scientist participants on J-1 visas are subject to the two-year home-country physical presence requirement, especially if funded by a government or international organization. A waiver through the No Objection Statement route or a hardship waiver takes months to process, so raise this with your sponsor before accepting an offer.
Align your DS-2019 training plan to specific AI deliverables
Sponsors require a structured training plan signed by your host employer. For AI research roles, list specific methodologies, datasets, model types, and lab collaborations you'll work on. Vague plans citing only broad areas like 'machine learning research' are frequently sent back for revision.
Track your J-1 status end date through SEVIS
Your authorized stay is tied to the program end date on your DS-2019, not a fixed visa validity period. SEVIS records control your legal status, and your designated sponsor must authorize any program extension before that date passes. A 30-day grace period follows program completion.
Artificial Intelligence Scientist J-1 Visa: Frequently Asked Questions
Which J-1 program category applies to Artificial Intelligence Scientist roles?
Research Scholar is the most common category for AI Scientists conducting independent research at a U.S. university or research institute. Specialist applies if you're an established expert in a narrowly defined AI subfield. Intern or Trainee categories fit students or early-career professionals, but those require enrollment or recent graduation and are subject to shorter program durations.
Who actually sponsors a J-1 visa for an AI Scientist position?
The visa sponsor is a U.S. Department of State-designated organization, such as IIE or Cultural Vistas, not your host employer. The host institution, whether a university AI lab or a national research center, serves as the placement site. The designated sponsor issues your DS-2019, monitors your compliance with exchange visitor regulations, and is your primary point of contact for status questions.
How do I find AI Scientist positions where the host employer already understands J-1 sponsorship?
Many employers outside of academia are unfamiliar with the J-1 host organization model and mistake it for direct employer sponsorship. Migrate Mate helps you identify U.S. employers and research institutions that have posted roles compatible with J-1 exchange visitor placements, narrowing your search to organizations already equipped to work with designated sponsors.
Does the two-year home residency requirement apply to AI Scientists on J-1 visas?
It often does. If your J-1 exchange is funded, even partially, by your home government or a bilateral program, or if your field appears on the State Department's Skills List for your country, the two-year requirement applies. You'd need to fulfill it or obtain a waiver before changing to H-1B visa or permanent residence status. Check your DS-2019 for the INA 212(e) notation.
Can an AI Scientist on a J-1 visa work for a private tech company as the host employer?
Yes, private companies can serve as J-1 host employers for Research Scholar or Specialist participants, provided a designated sponsor agrees to administer the program. In practice, designated sponsors scrutinize private industry placements more closely than academic or nonprofit ones, and the host must demonstrate a genuine research or knowledge-exchange purpose that aligns with J-1 program objectives.