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Temporary Machine Learning Postdoc Jobs in Chicago, IL

Day Shift, Mon-Fri, 7:30 AM-4:00 PM (temporary during building startup) Job Summary The Machine ... Ideal for candidates who enjoy machine work, teamwork, and learning new technical skills. About the ...

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Temporary Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Postdoc, and why are they important?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a Temporary Machine Learning Postdoc expect to engage in during their appointment?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is a Temporary Machine Learning Postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

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

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

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:
What are popular job titles related to Temporary Machine Learning Postdoc jobs in Chicago, IL? For Temporary Machine Learning Postdoc jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in Chicago, IL look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in Chicago, IL are:
Postdoctoral Appointee - Artificial Intelligence for Lithium-Sulfur Batteries

Postdoctoral Appointee - Artificial Intelligence for Lithium-Sulfur Batteries

Argonne National Laboratory

Lemont, IL

$72K - $121K/yr

Full-time

Re-posted 23 days ago


Job description

The Chemical Sciences and Engineering Division seeks aPostdoctoral Appointeeto conduct research focused on the development ofhigh-energy, long-cycle-life lithium-sulfur batteriesemploying bothliquid and solid-state electrolytes using artificial intelligence, under the guidance of a supervisor.

The successful candidate will contribute to projects involving thesynthesis, physical and chemical characterization, and electrochemical evaluation of sulfur cathodesin bothcoin-cellandpouch-cellformats.

This role includes establishing correlations between thephysical and chemical propertiesof sulfur cathodes, electrolytes and theirelectrochemical performance. The candidate is also expected to have experience working with a range ofliquid and solid electrolytesfor lithium-sulfur battery systems.

In addition, the postdoctoral appointee will perform advanced characterization of battery materials using synchrotron-based X-ray techniquesto develop mechanistic understanding of material behavior and electrochemical performance. Responsibilities also include analyzing experimental data, preparing manuscripts for peer-reviewed journals, presenting research findings at scientific conferences, and preparing reports and presentations for group meetings.

Key Responsibilities

  • Conduct research to develophigh-energy-density, long-life lithium-sulfur batteriesusing liquid and solid-state electrolytes

  • Synthesize and optimizesulfur cathode materialsand related host structures

  • Performphysical, chemical, and structural characterizationof battery material

  • Fabricate and evaluate lithium-sulfur cells incoin-cellandpouch-cellconfigurations

  • Investigate the relationships betweenmaterial properties, interfacial behavior, and electrochemical performance

  • Work with a variety ofliquid and solid electrolytes, including sulfide-based solid-state electrolytes

  • Applyadvanced characterization techniques, including synchrotron X-ray probes, to study battery materials and interfaces

  • Conduct electrochemical testing, includingcyclic voltammetry (CV),electrochemical impedance spectroscopy (EIS), andgalvanostatic cycling

  • Analyze and interpret experimental data to provide insight into battery mechanisms and performance limitations

  • Prepare technical reports, manuscripts, and scientific presentations for internal and external audiences

  • Present research results atgroup meetings,scientific conferences, and other professional forums

Position Requirements

  • Recent or soon-to-be-completed PhD (within the last 0-5 years) in fields of Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, or a closely related field

  • Experience leveraging artificial intelligence or machine learning in the development of battery electrolytes and catalyst materials

  • Demonstrated expertise inlithium-sulfur battery materialsandelectrolyte systems

  • Strong skills in thesynthesis and structural optimization of host materialsfor lithium-sulfur batteries

  • Experience in thesynthesis, processing, and characterization of solid-state electrolytes, particularlysulfide-based electrolytes, for energy storage applications

  • Knowledge ofinterfacial engineering strategies, such as surface coatings, to suppresslithium dendrite formation

  • Hands-on experience in thefabrication and testing of all-solid-state cells, includingcoin-celland/ormodel cellconfigurations

  • Knowledge ofsynchrotron-based X-ray characterization techniques, such asX-ray diffraction (XRD)andX-ray spectroscopy, particularly forin situ/operando studiesof materials and interfacial chemistry during battery cycling

  • Strong understanding ofelectrochemistry, with the ability to perform and interpretCV, EIS, and galvanostatic testing

  • Experience processing, analyzing, and interpreting experimental results

  • Demonstrated ability to work effectively onmultiple concurrent projects

  • Strongwritten and oral communication skills, with a record ofpeer-reviewed publicationsand recognition in a relevant research area

  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full timeThe 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.