Science & Research J-1 Sponsorship Jobs in New York
J-1 visa sponsorship jobs in science and research are concentrated across New York's world-class institutions, from Columbia University and Memorial Sloan Kettering Cancer Center to Brookhaven National Laboratory on Long Island. New York City, Albany, and the Hudson Valley corridor host federal agencies, biotech firms, and academic medical centers that regularly sponsor J-1 researchers, postdocs, and lab scientists.
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Get Access To All JobsAbout The Fellowship
This Basis Postdoctoral Fellowship is a collaborative initiative between the Basis Research Institute and the Princeton Robot Planning and Learning group, led by Tom Silver. As a fellow, you will be a key contributor and leader of robotics efforts within our ambitious MARA (Modeling, Abstraction, and Reasoning Agent) project, which aims to develop foundational AI technologies that enable systems to actively discover abstract models of the world and reason with them to achieve goals.
About Basis
Basis is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles. The second is to advance society’s ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future. To achieve these goals, we’re building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.
About Tom Silver's Group
Tom Silver is an assistant professor in Princeton University's Department of Electrical and Computer Engineering and a core faculty member in robotics. He directs the Princeton Robot Planning and Learning (PRPL) group, whose mission is to develop generalist robots that plan and learn to help people. Prior to joining Princeton, Tom was a postdoctoral researcher with Tapo Bhattacharjee at Cornell from 2024 to 2025. He received his PhD in 2024 from MIT EECS, where he was advised by Leslie Kaelbling and Josh Tenenbaum, and his B.A. from Harvard with highest honors in computer science and mathematics in 2016. He has also spent time at Google Robotics and the Robotics and AI Institute, formerly Boston Dynamics AI. His work has been supported by an NSF Graduate Research Fellowship and an MIT Presidential Fellowship, and has been recognized with an RSS Best Paper Award in 2025 and an IROS Best Paper Finalist Award in 2021.
Research Focus
Our research aims to develop new foundations and technologies for modeling, abstraction, and reasoning in embodied AI systems, extending the goals of MARA into real-world settings through the use of robotic platforms. The central objective is to build systems that actively discover abstract, compositional models of the world and use them to plan and act in dynamic environments, grounding high-level reasoning in perception and physical interaction. By learning through embodied experience, via interaction, experimentation, and feedback, these systems will unify model discovery with action. Achieving this vision will require advances in knowledge representation, abstraction, reasoning, and active learning, as well as new approaches for connecting high-level models to low-level sensorimotor control. The project ultimately asks what it means to model the world when intelligence is situated in a physical agent. Fellows will have the opportunity to contribute to this ambitious project, working closely with a team of researchers at Basis and Princeton University. The research environment is both structured and adaptable, providing multiple avenues for scholarly contribution. As a fellow, your expertise can shape various aspects of the project, allowing for a balance of focused research, academic exploration, and software development.
Who We’re Looking For
- Researchers holding a PhD in robotics, computer science, artificial intelligence, machine learning, cognitive science, or related fields.
- Strong background in areas such as program synthesis, reinforcement learning, robotics, automated planning, probabilistic programming, machine learning, AI reasoning systems, or cognitive modeling.
- Experience with real robots is preferred but not required.
- Interest in foundational AI research and its applications to modeling, abstraction, and reasoning.
- Individuals with a demonstrated track record in scientific research, evidenced through publications, technical reports, or impactful software projects.
Core Responsibilities
- Conduct independent and collaborative research focused on the RoboMARA project.
- Develop new methods and algorithms for modeling, abstraction, and reasoning in physically embodied AI systems.
- Disseminate research findings through academic publications and presentations at leading conferences.
- Actively engage in knowledge transfer within Basis and Princeton University, converting research into actionable insights and algorithms.
- Provide mentorship to junior team members and contribute to the scientific discourse through seminars, workshops, and collaborative projects.
Role Details
- In-person Policy: We are in the office four days a week. Be prepared to attend multi-day Basis-wide in-person events.
- Location: New York City (Primary) and Princeton, NJ. This position involves time at both Basis in NYC and Princeton University.
- Collaboration sites: Basis (NYC) and Princeton (Silver Lab); we are flexible about how time is partitioned across these locations based on project needs.
- Salary: Competitive with leading postdoctoral fellowships.
- Start date: Immediate start possible.
Not sure you meet every detail?
Whether it's qualifications, work pattern, or location, exceptional candidates who don't check every box above are still encouraged to apply.
Non-Discrimination Notice
Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics.
Privacy Notice
By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes.
Compensation Range: $100K
About The Fellowship
This Basis Postdoctoral Fellowship is a collaborative initiative between the Basis Research Institute and the Princeton Robot Planning and Learning group, led by Tom Silver. As a fellow, you will be a key contributor and leader of robotics efforts within our ambitious MARA (Modeling, Abstraction, and Reasoning Agent) project, which aims to develop foundational AI technologies that enable systems to actively discover abstract models of the world and reason with them to achieve goals.
About Basis
Basis is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles. The second is to advance society’s ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future. To achieve these goals, we’re building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.
About Tom Silver's Group
Tom Silver is an assistant professor in Princeton University's Department of Electrical and Computer Engineering and a core faculty member in robotics. He directs the Princeton Robot Planning and Learning (PRPL) group, whose mission is to develop generalist robots that plan and learn to help people. Prior to joining Princeton, Tom was a postdoctoral researcher with Tapo Bhattacharjee at Cornell from 2024 to 2025. He received his PhD in 2024 from MIT EECS, where he was advised by Leslie Kaelbling and Josh Tenenbaum, and his B.A. from Harvard with highest honors in computer science and mathematics in 2016. He has also spent time at Google Robotics and the Robotics and AI Institute, formerly Boston Dynamics AI. His work has been supported by an NSF Graduate Research Fellowship and an MIT Presidential Fellowship, and has been recognized with an RSS Best Paper Award in 2025 and an IROS Best Paper Finalist Award in 2021.
Research Focus
Our research aims to develop new foundations and technologies for modeling, abstraction, and reasoning in embodied AI systems, extending the goals of MARA into real-world settings through the use of robotic platforms. The central objective is to build systems that actively discover abstract, compositional models of the world and use them to plan and act in dynamic environments, grounding high-level reasoning in perception and physical interaction. By learning through embodied experience, via interaction, experimentation, and feedback, these systems will unify model discovery with action. Achieving this vision will require advances in knowledge representation, abstraction, reasoning, and active learning, as well as new approaches for connecting high-level models to low-level sensorimotor control. The project ultimately asks what it means to model the world when intelligence is situated in a physical agent. Fellows will have the opportunity to contribute to this ambitious project, working closely with a team of researchers at Basis and Princeton University. The research environment is both structured and adaptable, providing multiple avenues for scholarly contribution. As a fellow, your expertise can shape various aspects of the project, allowing for a balance of focused research, academic exploration, and software development.
Who We’re Looking For
- Researchers holding a PhD in robotics, computer science, artificial intelligence, machine learning, cognitive science, or related fields.
- Strong background in areas such as program synthesis, reinforcement learning, robotics, automated planning, probabilistic programming, machine learning, AI reasoning systems, or cognitive modeling.
- Experience with real robots is preferred but not required.
- Interest in foundational AI research and its applications to modeling, abstraction, and reasoning.
- Individuals with a demonstrated track record in scientific research, evidenced through publications, technical reports, or impactful software projects.
Core Responsibilities
- Conduct independent and collaborative research focused on the RoboMARA project.
- Develop new methods and algorithms for modeling, abstraction, and reasoning in physically embodied AI systems.
- Disseminate research findings through academic publications and presentations at leading conferences.
- Actively engage in knowledge transfer within Basis and Princeton University, converting research into actionable insights and algorithms.
- Provide mentorship to junior team members and contribute to the scientific discourse through seminars, workshops, and collaborative projects.
Role Details
- In-person Policy: We are in the office four days a week. Be prepared to attend multi-day Basis-wide in-person events.
- Location: New York City (Primary) and Princeton, NJ. This position involves time at both Basis in NYC and Princeton University.
- Collaboration sites: Basis (NYC) and Princeton (Silver Lab); we are flexible about how time is partitioned across these locations based on project needs.
- Salary: Competitive with leading postdoctoral fellowships.
- Start date: Immediate start possible.
Not sure you meet every detail?
Whether it's qualifications, work pattern, or location, exceptional candidates who don't check every box above are still encouraged to apply.
Non-Discrimination Notice
Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics.
Privacy Notice
By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes.
Compensation Range: $100K
J-1 Science & Research Job Roles in New York
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Search Science & Research Jobs in New YorkScience & Research J-1 Sponsorship Jobs in New York: Frequently Asked Questions
Which science and research companies sponsor J-1 visas in New York?
Major J-1 visa sponsors in New York science and research include academic medical centers like NYU Langone and Weill Cornell Medicine, national laboratories such as Brookhaven National Laboratory, and private biotech and pharmaceutical companies clustered in the New York City metro area. Research universities including Columbia, Rockefeller University, and SUNY system campuses also maintain active J-1 exchange visitor programs for researchers and postdoctoral fellows.
Which cities in New York have the most science and research J-1 sponsorship jobs?
New York City holds the largest concentration of J-1 science and research positions, driven by its density of academic medical centers, university research departments, and private biotech firms. Albany attracts researchers through state government agencies and the SUNY Albany campus. Long Island is notable for Brookhaven National Laboratory and Cold Spring Harbor Laboratory. Buffalo and Rochester have growing research ecosystems anchored by their university medical centers.
What types of science and research roles typically qualify for J-1 sponsorship?
J-1 sponsorship in science and research most commonly covers research scholar and short-term scholar program categories, which apply to postdoctoral researchers, visiting scientists, laboratory investigators, and clinical research fellows. Roles requiring advanced degrees in biology, chemistry, physics, neuroscience, computational science, and biomedical engineering frequently qualify. The position must fit within a formal exchange visitor program administered by a designated J-1 program sponsor at the host institution.
How do I find science and research J-1 sponsorship jobs in New York?
Migrate Mate lets you filter science and research positions in New York by J-1 visa sponsorship, so you can focus on employers that have actively sponsored J-1 exchange visitors rather than applying broadly and asking later. Because J-1 sponsorship in research is often tied to specific institutional programs, filtering by confirmed sponsors is especially useful. Migrate Mate surfaces roles from academic institutions, national laboratories, and private research organizations across the state.
Are there any New York-specific considerations for J-1 sponsorship in science and research?
New York institutions sponsoring J-1 researchers must be designated as exchange visitor program sponsors by the U.S. Department of State, and many of the state's largest employers in this field already hold that designation. Researchers should be aware that some J-1 categories carry a two-year home-country physical presence requirement, which affects future visa options. New York's concentration of federally funded research facilities also means some positions may carry additional compliance requirements tied to federal grant agreements.