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Urgently Hiring Computer Science Postdoc Jobs in Illinois

Field Museum

Postdoctoral Research Scientist

Chicago, IL · On-site

$61K/yr

The Grainger Bioinformatics Center in the Science and Education Department at The Field Museum is ... This will help our hiring managers access the correct documents. Please note that removing the ...

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Urgently Hiring Computer Science Postdoc information

What is an urgently hiring computer science postdoc?

Urgently Hiring Computer Science Postdoc positions are research roles available at universities, research institutes, or tech companies that need to be filled quickly due to immediate project needs or funding timelines. These postdoctoral positions typically require a recent PhD in computer science or a closely related field, and involve conducting advanced research, publishing papers, and sometimes assisting with teaching or mentoring students. The 'urgent' aspect means the employer is looking to hire and onboard a qualified candidate as soon as possible, so the application and interview process may be expedited. Candidates should be prepared to demonstrate their expertise and readiness to start work immediately.

What are some common challenges faced by computer science postdocs, and how can they be addressed?

Computer Science Postdocs often encounter challenges such as balancing independent research with collaborative projects, managing publishing deadlines, and adapting to rapidly evolving technologies. Building strong communication with faculty advisors and research teams helps navigate complex projects, while setting clear research goals and timelines can reduce stress. Engaging in interdisciplinary work and attending conferences also supports professional development and may open up new career opportunities in academia or industry.

What are the key skills and qualifications needed to thrive as a computer science postdoc, and why are they important?

To thrive as a Computer Science Postdoc, you need an advanced degree (PhD) in computer science or a related field, strong analytical and research skills, and a solid publication record. Familiarity with programming languages (such as Python, C++, or Java), research tools, and experience with version control systems and scientific computing platforms are commonly required. Exceptional problem-solving abilities, collaboration, and effective written and verbal communication skills set standout candidates apart. These skills ensure successful independent research, productive teamwork, and clear dissemination of findings in academic and industry environments.

What is the difference between Urgently Hiring Computer Science Postdoc vs Research Scientist?

AspectComputer Science PostdocResearch Scientist
Required CredentialsPhD in Computer Science or related fieldMaster's or PhD in relevant field often preferred
Work EnvironmentAcademic or research institutions, labsResearch organizations, industry R&D departments
Employer & Industry UsageUniversities, research institutesTech companies, industry research divisions
Search & Comparison IntentAcademic research, postdoctoral opportunitiesIndustry research roles, applied projects

While both roles involve research in computer science, a Postdoc typically focuses on academic or fundamental research after completing a PhD, often aiming for a future academic career. A Research Scientist usually works in industry, applying research to develop products or solutions. The key differences lie in their work environment, employer type, and career trajectory.

What are the most commonly searched types of Computer Science Postdoc jobs in Illinois?

The most popular types of Computer Science Postdoc jobs in Illinois are:

What are popular job titles related to Urgently Hiring Computer Science Postdoc jobs in Illinois?

For Urgently Hiring Computer Science Postdoc jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Urgently Hiring Computer Science Postdoc jobs in Illinois look for?

The top searched job categories for Urgently Hiring Computer Science Postdoc jobs in Illinois are:

What cities in Illinois are hiring for Urgently Hiring Computer Science Postdoc jobs?

Cities in Illinois with the most Urgently Hiring Computer Science Postdoc job openings:

Urgently Hiring Computer Science Postdoc jobs near you

Postdoctoral Appointee - Materials Informatics and Autonomous Synthesis

Argonne National Laboratory

Lemont, IL • On-site

$72K - $121K/yr

Full-time

Re-posted 3 days ago

Job description

The Center for Nanoscale Materials (CNM) at Argonne National Laboratory invites applications for a postdoctoral research position focused on developing AI/ML methods for autonomous materials discovery and synthesis.
We are seeking a creative and collaborative researcher who is excited by the opportunity to help shape the future of autonomous synthesis and self-driving laboratories. This role is ideal for someone who enjoys working at the intersection of data science, machine learning, materials research, and experiment, and who is motivated to translate computational advances into real laboratory workflows.
The position will focus on building the data resources, predictive models, and closed-loop decision frameworks needed to accelerate experimentation and advance next-generation autonomous laboratories. The broader goal is to enable AI-driven materials discovery, autonomous synthesis, and the development of high-quality, reusable datasets that support adaptive experimentation and long-term scientific impact.
This research may include applications in areas such as organic electrochemical and neuromorphic devices, but the central emphasis is on creating data-driven methods and infrastructure that can guide experiments, improve efficiency, and strengthen collaboration between computation and experiment.
Key Responsibilities
  • Develop machine learning-ready data resources for materials by integrating literature, in-house, and newly generated experimental data
  • Build surrogate and predictive models that connect composition, molecular structure, synthesis and processing conditions, morphology, and device-relevant properties
  • Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in autonomous platforms such as the Polybot
  • Work closely with experimental researchers to integrate AI/ML workflows into closed-loop autonomous synthesis, fabrication, and characterization; translate model predictions into experimental campaigns; and update models using newly acquired data
  • Contribute to strategies for generating diverse, high-value datasets, identifying meaningful descriptors and representations, and building reproducible computational pipelines, workflow automation, and data infrastructure that support long-term autonomous laboratory capabilities
  • Share research outcomes through publications, presentations, software, datasets, and internal reports

Position Requirements
  • Recent or soon-to-be-completed PhD (within the last 0-5 years) in chemistry, chemical engineering, materials science, polymer science, physics, computer science, and/or data science
  • Demonstrated accomplishments in materials informatics, scientific machine learning, or AI-guided experimental design
  • Strong Python and scientific computing skills, including experience with tools such as NumPy, pandas, scikit-learn, and machine learning frameworks such as PyTorch, TensorFlow, or similar
  • Experience developing surrogate models, predictive models, or adaptive learning workflows for scientific or engineering applications
  • Strong interest in working closely with experimental researchers in a laboratory-centered environment
  • Evidence of independent research productivity through publications, software, datasets, or similar outputs
  • Excellent communication skills, the ability to work effectively in interdisciplinary teams
  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Preferred Qualifications
  • Experience with active learning, Bayesian optimization, adaptive experimental design, reinforcement learning for experiments, or uncertainty quantification
  • Experience with autonomous, self-driving, or robotic laboratory platforms
  • Background in electronic polymers, conjugated polymers, organic semiconductors, soft materials, electrochemical materials, or related functional materials
  • Experience integrating literature, experimental, and simulation datasets into unified, machine learning-ready workflows
  • Familiarity with cheminformatics or polymer informatics, molecular representations, descriptor engineering, RDKit, characterization-informed modeling, multimodal data fusion, interpretable machine learning, NLP, text mining, or automated extraction of materials data from the literature
  • Experience with workflow automation, data infrastructure, database development, reproducible research pipelines, and collaborative environments that span computation, data science, and experiment

Application Materials
  • Updated CV/Resume
  • Unofficial Ph.D. transcripts
  • If already awarded, a copy of the Ph.D. diploma

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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