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Computer Science Postdoc information

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$25.8K

$60.8K

$86K

How much do computer science postdoc jobs pay per year?

As of May 28, 2026, the average yearly pay for computer science postdoc in Chicago, IL is $60,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $68,500.00 per year, depending on experience, location, and employer.

What is a Computer Science Postdoc job?

A Computer Science Postdoc is a temporary research position for individuals who have recently earned a Ph.D. in computer science or a related field. Postdocs work under the supervision of a principal investigator to conduct advanced research, publish papers, and contribute to projects in academia, industry, or government labs. These positions help researchers gain additional expertise, expand their professional network, and prepare for careers in academia, research institutions, or industry. Typically, postdoc positions last between one and three years and may involve teaching responsibilities.

What are the key skills and qualifications needed to thrive in the Computer Science Postdoc position, and why are they important?

To thrive as a Computer Science Postdoc, you need a Ph.D. in computer science or a related field, strong research skills, and a solid publication record. Experience with programming languages (such as Python, C++, or Java), machine learning frameworks, data analysis tools, and version control systems is highly valued. Exceptional communication, project management, and collaboration abilities help you effectively engage with multidisciplinary teams and present complex findings. These skills ensure successful research contributions, smooth teamwork, and impactful advancement in the academic or industrial research landscape.

What does the typical daily work of a Computer Science Postdoc involve?

As a Computer Science Postdoc, your daily work typically centers around conducting original research, designing experiments, and analyzing data related to your specialized field. You may meet regularly with your principal investigator (PI) and other lab members to discuss progress, troubleshoot problems, and plan new studies. Preparing manuscripts, presenting findings at conferences, and mentoring graduate or undergraduate students are also common responsibilities. Collaboration is often key, as projects may involve working with faculty, industry partners, or interdisciplinary teams, providing opportunities to broaden your research impact and professional network.
More about Computer Science Postdoc jobs
What are the most commonly searched types of Computer Science Postdoc jobs in Chicago, IL? The most popular types of Computer Science Postdoc jobs in Chicago, IL are:
What are popular job titles related to Computer Science Postdoc jobs in Chicago, IL? For Computer Science Postdoc jobs in Chicago, IL, the most frequently searched job titles are:
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Computer Science Postdoc jobs near you
Infographic showing various Computer Science Postdoc job openings in Chicago, IL as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $60,801 per year, or $29.2 per hour.
Postdoctoral Appointee - Scientific Machine Learning for Surrogate Modeling and Power Grid Dynamics

Postdoctoral Appointee - Scientific Machine Learning for Surrogate Modeling and Power Grid Dynamics

Argonne National Laboratory

Lemont, IL • On-site

$70.76K - $117.93K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

The Mathematics and Computer Science Division (MCS) at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct cutting-edge research in scientific machine learning, focusing specifically on developing machine learning-based surrogates and emulators for the dynamics of power grids. This role involves creating advanced probabilistic models that capture the complex behaviors of dynamical systems, which will be integrated into large-scale optimization frameworks to enhance the efficiency and reliability of power grid operations.

The Postdoctoral Appointee will be responsible for the conceptual framework, design, and implementation of these machine learning models, ensuring trustworthy computations and scalability on the DOE's leadership computing facilities. The focus will be on developing robust, scalable solutions that are computationally efficient and maintain accuracy within the operational constraints of real-world power systems.

Position Requirements

Required Skills and Qualifications:

  • Ph.D. (completed within the past 0-5 years) in computer science, electrical engineering, applied mathematics, or a related field.

  • Strong proficiency in Python, with additional experience in C, C++, or similar languages.

  • Demonstrated expertise in machine learning, especially in the context of dynamical systems modeled by differential-algebraic equations.

  • Experience with high-performance computing and the ability to scale models using distributed computing environments.

  • Excellent oral and written communication skills for effective collaboration across multiple teams.

  • Commitment to embodying the core values of impact, safety, respect, and teamwork in all endeavors.

Preferred Skills and Qualifications:

  • Extensive experience with power grid models and large-scale optimization problems.

  • Familiarity with developing machine learning surrogates and emulators for dynamical systems.

  • Proficiency in managing large datasets and training with GPU-enabled computing resources.

  • Expertise in numerical optimization and familiarity with ML frameworks such as PyTorch, Jax, or TensorFlow.

  • A strong foundation in statistical methods, probability theory, or uncertainty quantification is highly advantageous.

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full timeThe expected hiring range for this position is $70,758.00-$117,925.00.

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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