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Online Machine Learning Postdoc Jobs in Chicago, IL

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Online Machine Learning Postdoc information

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$24.2K

$53.5K

$70.6K

How much do online machine learning postdoc jobs pay per year?

As of Aug 18, 2026, the average yearly pay for online machine learning postdoc in Chicago, IL is $53,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $61,800.00 per year, depending on experience, location, and employer.

What is the difference between Online Machine Learning Postdoc vs Data Scientist?

AspectOnline Machine Learning PostdocData Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often a PhD is preferred but not required
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, tech firms, startups, corporate analytics teams
Employer & Industry UsagePrimarily academic, research-focused roles in universities or research institutionsCommercial sector, product development, data analysis, and business intelligence

The Online Machine Learning Postdoc typically focuses on academic research, exploring new algorithms and theories in machine learning, often in a university setting. In contrast, a Data Scientist applies machine learning techniques to solve real-world business problems in industry. While both roles require strong technical skills, the Postdoc emphasizes research and publication, whereas Data Scientists focus on data analysis and product development.

What are the most commonly searched types of Machine Learning Postdoc jobs in Chicago, IL?

The most popular types of Machine Learning Postdoc jobs in Chicago, IL are:

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For Online Machine Learning Postdoc jobs in Chicago, IL, the most frequently searched job titles are:

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The top searched job categories for Online Machine Learning Postdoc jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Online Machine Learning Postdoc jobs?

Cities near Chicago, IL with the most Online Machine Learning Postdoc job openings:

Online Machine Learning Postdoc jobs near you

Postdoctoral Appointee - AI/ML for Particle Accelerators

Argonne National Laboratory

Lemont, IL • On-site

$72K - $121K/yr

Full-time

Posted 27 days ago

Job description

Postdoctoral Researcher in artificial intelligence and machine learning (AI/ML) for advanced tuning and diagnosis of particle accelerators.
The Accelerator Operations and Physics (AOP) Group of the Accelerator Systems Division (ASD), Advanced Photon Source (APS) is hiring a postdoctoral researcher for a multi-year appointment.
The postdoctoral researcher will work to develop and deploy advanced AI/ML methods for analysis, tuning, and control of particle beams and accelerator systems, with applications to the APS injector and the newly-upgraded APS storage ring. This work will explore applications of LLMs to accelerators, specifically, use of agentic AI to support intelligent system analysis, aid operator decision-making, automate complex workflows, and enable more adaptive approaches to machine tuning, diagnostics, and fault response. Experimental work on the existing APS injector accelerator complex and the new APS storage ring will be done to test the methods and assess their usefulness for accelerator operation.
Position Requirements
  • PhD completed in the past 5 years or soon-to-be completed in accelerator physics or a related field is strongly preferred. PhD graduates in other branches of physical sciences, or in math, computer science, and electric engineering who have an interest in accelerator physics will also be considered.
  • Strong programming skills.
  • Proficiency in the Python programming language.
  • Working knowledge of UNIX or Linux.

Preferred Knowledge, Skills, and Experience
  • Experience with machine learning and accelerator operation.
  • Experience working with complex algorithms.
  • Experience using computing clusters for simulation and data analysis.
  • Experience with accelerator modeling and simulation codes, such as Elegant and Cheetah.
  • Experience with SDDS, Tcl/Tk, and scripting in Linux environment.

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.

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