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Computational Modeling Simulation Phd Jobs in Chicago, IL

Biohub

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and ... PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering ...

MonoSol

Senior Process Development Engineer

Chicago, IL · On-site

$107K - $138K/yr

... PhD preferred). Typically 5+ years of experience in process R&D, scale-up, or manufacturing process development. Demonstrated experience in process modeling, simulation, and data-driven decision ...

The University of Chicago

Staff Scientist

Chicago, IL · On-site

... computational modeling, and artificial intelligence applications when appropriate. * Prepare ... PhD in biomedical sciences, physiology, immunology, molecular biology, bioengineering, pharmacology ...

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Showing results 21-40

All JobsComputational Modeling Simulation Phd JobsComputational Modeling Simulation Phd Jobs in Chicago, IL

Computational Modeling Simulation Phd information

See Chicago, IL salary details

$40.2K

$104.3K

$148.3K

How much do computational modeling simulation phd jobs pay per year?

As of Aug 7, 2026, the average yearly pay for computational modeling simulation phd in Chicago, IL is $104,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $133,400.00 per year, depending on experience, location, and employer.

What is the difference between Computational Modeling Simulation Phd vs Computational Scientist?

AspectComputational Modeling Simulation PhdComputational Scientist
Required CredentialsPhD in computational sciences, engineering, or related fieldMaster's or PhD in computational or related fields
Work EnvironmentResearch labs, academia, industry R&DResearch institutions, tech companies, industry R&D
Industry UsageDeveloping models, simulations, and algorithms for complex systemsApplying computational methods to solve scientific or engineering problems

Both roles involve advanced computational skills and research experience, but the Computational Modeling Simulation Phd typically focuses on developing and validating models through extensive research, while a Computational Scientist applies these methods to practical problems across various industries.

What are popular job titles related to Computational Modeling Simulation Phd jobs in Chicago, IL? For Computational Modeling Simulation Phd jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Computational Modeling Simulation Phd jobs in Chicago, IL look for? The top searched job categories for Computational Modeling Simulation Phd jobs in Chicago, IL are:
Computational Modeling Simulation Phd jobs near you
Infographic showing various Computational Modeling Simulation Phd job openings in Chicago, IL as of June 2026, with employment types broken down into 32% Full Time, 65% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $104,308 per year, or $50.1 per hour.

Postdoctoral Appointee - Battery Modeling, Electrochemistry, and AI

Argonne National Laboratory

Lemont, IL • On-site

$72K - $121K/yr

Full-time

Re-posted 14 days ago

Job description

We invite applications for aPostdoctoral Appointeeposition in theChemical Sciences and Engineering Division (CSE)at Argonne National Laboratory.

Working under the guidance of a supervisor, the successful candidate will conduct research focused onmeso- and macroscale mathematical modeling of next-generation batteries, while leveraging advancedartificial intelligence (AI) toolsto accelerate scientific discovery. Research areas includesolid-state batteries with lithium and sodium metal anodes, as well as themorphology evolution of materialscoupled with electrochemical and mechanical phenomena.

The selected candidate will developcomputational models at the mesoscale and/or macroscalebased on the principles ofmass, momentum, and energy conservationto describe processes such asmorphological change, dendrite growth, side reactions, delamination, and related behavior in hard and soft materials. A strong emphasis will be placed on theintegration of AI methods and agentic workflowsinto model development and scientific analysis.

This position offers the opportunity to collaborate closely withexperimental teamsworking in areas such aselectrochemical characterization and synchrotron analysis, as well as withtheoretical researchersspecializing inatomistic simulation, density functional theory (DFT), and ab initio molecular dynamics (AIMD). The successful candidate will also engage with collaborators across Argonne, other national laboratories, universities, and international research institutions.

Key Responsibilities

  • Develop mesoscale and/or macroscale computational models for battery materials and processes

  • Implement models and perform numerical simulations

  • Analyze and interpret simulation and experimental data

  • Integrate AI tools and workflows to enhance modeling and accelerate learning

  • Collaborate with interdisciplinary experimental and theoretical research teams

  • Prepare manuscripts for submission to peer-reviewed journals

  • Present research findings at scientific conferences and meetings

  • Prepare reports, presentations, and technical summaries for group meetings and sponsor reporting requirements

Position Requirements

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

  • A deep understanding ofelectrochemistry, electrochemical engineering, and battery science

  • Strong experience in developing computational models based onmass, momentum, and energy balance principles

  • Strong skills in applyingAI tools and agentic workflowsto scientific research

  • Some experience in proposing, planning, and designing experiments

  • Demonstrated ability to process, analyze, and interpret research results

  • Strong skill in formulating and solving scientific problems

  • Excellent written and oral communication skills

  • 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.

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