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Temporary Machine Learning Postdoc Jobs in Chicago, IL

EVOZYNE INC

Applied AI Research Fellow

Chicago, IL · On-site

Late-stage PhD student or postdoc in a quantitative or computational field * Hands-on experience ... Familiarity with modern machine learning approaches (e.g., deep learning, generative models, or ...

H R PUNDITS INC

Data Analyst V

Elk Grove Village, IL · Remote

$130K/yr

Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to ... support 4 Comfortable with temporary tables in SQL 5 Strong skills in Python Pandas and data ...

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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:
Temporary Machine Learning Postdoc jobs near you
Postdoctoral Appointee - MSD AI for Materials Chemistry

Postdoctoral Appointee - MSD AI for Materials Chemistry

Argonne National Laboratory

Lemont, IL

$72.88K - $121.47K/yr

Full-time

Posted 11 days ago

Job description

The Materials Science Division is seeking applicants for a Postdoctoral Appointee who will conduct cutting-edge research in AI for Materials Chemistry, with a focus on energy storage and conversion. This position offers an exciting opportunity to contribute to fundamental and applied research in materials chemistry using advanced computational techniques and artificial intelligence. The project involves:


1. Quantum Mechanical Calculations:
- Performing first-principles based or Density Functional Theory (DFT) calculations for molecules/materials and interphases
- Utilizing Molecular Dynamics (MD) simulations to study chemical transformations in materials.
2. Artificial Intelligence Applications:
- Leveraging conventional machine learning techniques for materials property prediction and Bayesian approaches
- Exploring Foundational Models and Agentic AI to address challenges in energy storage and conversion.

Position Requirements

Candidates must meet the following qualifications:
1. Educational Background:
- A recent or soon-to-be-completed PhD (within the last 0-5 years) in Materials Science, Computational Materials Science, Chemical Engineering or a closely related field.
2. Technical Expertise:
- Comprehensive understanding of applied computational materials science, including electronic structure methods and molecular dynamics.
- Experience with High-Performance Computing (HPC) systems and intelligent workflows.
3. Programming Skills:
- Proficiency in C++/or Python programming languages is essential.

4. Research Contributions:
- Demonstrated publications in AI for Materials Chemistry.
5. Collaboration and Communication:
- Willingness to work on multiple projects and collaborate effectively with interdisciplinary teams.
- Strong written and oral communication skills.
6. Core Values:
- Ability to model Argonne's core values: impact, safety, respect, integrity, and teamwork.

Preferred Qualifications
- Experience in integrating AI techniques with quantum mechanical calculations.
- Familiarity with recent advancements in Foundational Models and Agentic AI.

Please upload the following as attachments to your application via Workday:

  • CV/Resume

  • Unofficial Ph.D. Transcripts

  • If already awarded, a copy of your Ph.D. diploma. Candidates can be currently enrolled to apply, but must have proof of degree conferral by the position start date.

At the point of interview, candidates will be asked to submit the name/contact of three references.

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.

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