Science & Research H-1B Sponsorship Jobs in Illinois
Illinois is one of the top states for science and research H-1B visa sponsorship, anchored by major employers like Abbott Laboratories, Argonne National Laboratory, Fermilab, and the University of Chicago. The Chicago metro, Evanston, and the suburban research corridor along I-88 concentrate the bulk of sponsored roles in life sciences, materials science, and applied research.
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We are seeking a Postdoctoral Appointee to join the Computational Science and Artificial Intelligence Group in the X-ray Science Division of the Advanced Photon Source (APS) at Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied mathematics, or physics to apply their expertise to challenging problems in computational imaging, while collaborating with leading experts in physics, biology, and environmental science.
Research Context
Soil microbial communities play a fundamental role in carbon and nutrient cycling, yet their spatial organization and interactions have remained difficult to study because of the opacity and complexity of soil. The APS at Argonne National Laboratory is a world-leading synchrotron facility recently upgraded to deliver nanometer-to-micron resolution imaging with dramatically increased X-ray flux. This makes it possible to visualize the interplay of soil structure and microbial life at scales bridging nanometers to millimeters, creating a unique opportunity to investigate how microbial communities are organized and interact within their natural environments.
Your Role
This position focuses on developing learning-enabled imaging methods to guide data collection and analyze synchrotron datasets, spanning the full experimental cycle from real-time X-ray measurements to post-experiment reconstruction:
- Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets.
- Implement adaptive acquisition strategies that guide beamline measurements in real time to increase efficiency and improve image quality.
- Advance multimodal analysis methods that align and fuse structural, chemical, and biological signals to construct coherent models of microbial organization across scales.
Success in this role will require creativity in computational imaging, machine learning, and signal processing, as well as close collaboration with experts in computational science, electrical engineering, synchrotron physics, soil microbiology, and environmental chemistry. May be required to perform other duties as assigned.
Position Requirements
- Ph.D. completed in the past 5 years or soon-to-be completed in Electrical Engineering, Computer Science, Applied Mathematics, Physics, or a related field.
- Strong expertise in machine learning, computational imaging, computer vision, or signal processing.
- Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research-grade algorithms.
- Demonstrated ability to work on complex data analysis problems and deliver robust computational solutions.
- Excellent communication skills and a strong interest in interdisciplinary collaboration.
- Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.
- Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory.
Preferred Knowledge, Skills, and Experience
- Experience with synchrotron or tomographic imaging datasets.
- Background in inverse problems or physics-informed machine learning.
- Exposure to scientific imaging applications (for example, biological, environmental, or materials science).
Job Family
Postdoctoral
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
The expected hiring range for this position is $72,879.00-$121,465.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
Position Overview
We are seeking a Postdoctoral Appointee to join the Computational Science and Artificial Intelligence Group in the X-ray Science Division of the Advanced Photon Source (APS) at Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied mathematics, or physics to apply their expertise to challenging problems in computational imaging, while collaborating with leading experts in physics, biology, and environmental science.
Research Context
Soil microbial communities play a fundamental role in carbon and nutrient cycling, yet their spatial organization and interactions have remained difficult to study because of the opacity and complexity of soil. The APS at Argonne National Laboratory is a world-leading synchrotron facility recently upgraded to deliver nanometer-to-micron resolution imaging with dramatically increased X-ray flux. This makes it possible to visualize the interplay of soil structure and microbial life at scales bridging nanometers to millimeters, creating a unique opportunity to investigate how microbial communities are organized and interact within their natural environments.
Your Role
This position focuses on developing learning-enabled imaging methods to guide data collection and analyze synchrotron datasets, spanning the full experimental cycle from real-time X-ray measurements to post-experiment reconstruction:
- Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets.
- Implement adaptive acquisition strategies that guide beamline measurements in real time to increase efficiency and improve image quality.
- Advance multimodal analysis methods that align and fuse structural, chemical, and biological signals to construct coherent models of microbial organization across scales.
Success in this role will require creativity in computational imaging, machine learning, and signal processing, as well as close collaboration with experts in computational science, electrical engineering, synchrotron physics, soil microbiology, and environmental chemistry. May be required to perform other duties as assigned.
Position Requirements
- Ph.D. completed in the past 5 years or soon-to-be completed in Electrical Engineering, Computer Science, Applied Mathematics, Physics, or a related field.
- Strong expertise in machine learning, computational imaging, computer vision, or signal processing.
- Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research-grade algorithms.
- Demonstrated ability to work on complex data analysis problems and deliver robust computational solutions.
- Excellent communication skills and a strong interest in interdisciplinary collaboration.
- Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.
- Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory.
Preferred Knowledge, Skills, and Experience
- Experience with synchrotron or tomographic imaging datasets.
- Background in inverse problems or physics-informed machine learning.
- Exposure to scientific imaging applications (for example, biological, environmental, or materials science).
Job Family
Postdoctoral
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
The expected hiring range for this position is $72,879.00-$121,465.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
Click here to view Argonne employee benefits!
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
H-1B Science & Research Job Roles in Illinois
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Search Science & Research Jobs in IllinoisScience & Research H-1B Sponsorship Jobs in Illinois: Frequently Asked Questions
Which science and research companies sponsor H-1B visas in Illinois?
Abbott Laboratories, AbbVie, and Baxter International are among the most active H-1B sponsors in Illinois life sciences. Federal research facilities including Argonne National Laboratory and Fermilab regularly sponsor researchers and scientists. Northwestern University, the University of Chicago, and the University of Illinois system also file a significant volume of H-1B petitions for postdoctoral researchers and faculty-track positions.
Which cities in Illinois have the most science and research H-1B sponsorship jobs?
Chicago leads the state by volume, particularly in biotech, pharmaceutical research, and university-affiliated science roles. Evanston is home to Northwestern University, a consistent H-1B sponsor for research staff. The I-88 Research and Technology Corridor stretching through Aurora, Naperville, and Lisle hosts major corporate R&D centers. North Chicago and Abbott Park are concentrated hubs for pharmaceutical and medical device research sponsorship.
What types of science and research roles typically qualify for H-1B sponsorship in Illinois?
Roles that consistently qualify include research scientists, principal investigators, computational biologists, chemists, materials scientists, and data scientists working in research contexts. The position must qualify as a specialty occupation, meaning it requires at minimum a bachelor's degree in a specific technical or scientific discipline. Postdoctoral researcher positions at Illinois universities and national laboratories are frequently sponsored under the H-1B category.
How do I find science & research H-1B sponsorship jobs in Illinois?
Migrate Mate is built specifically for international job seekers and lets you filter science and research roles by visa sponsorship type and state, so you can browse Illinois H-1B opportunities without sifting through listings that don't sponsor. Beyond the job board, reviewing H-1B disclosure data from the Department of Labor can help you identify which Illinois employers have an active history of filing petitions in your specific research field.
Are there any Illinois-specific considerations for H-1B sponsorship in science and research?
Illinois has a strong concentration of both private-sector and federally funded research institutions, which matters because cap-exempt employers like universities and nonprofit research organizations affiliated with higher education can file H-1B petitions at any time without waiting for the annual lottery. Researchers targeting roles at institutions like Argonne or a university-affiliated lab may have more filing flexibility than those pursuing positions at for-profit companies subject to the regular H-1B cap.
What is the prevailing wage for H-1B science & research jobs in Illinois?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.