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Control Engineer Postdoc Jobs in Chicago, IL (NOW HIRING)

Staff Quantum Sensor Physicist

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Works with electrical, mechanical, software, firmware, vacuum, laser, and controls engineering ... S. export control laws and regulations without sponsorship for an export license. WORKING ...

Staff Quantum Sensor Physicist

Boulder, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Works with electrical, mechanical, software, firmware, vacuum, laser, and controls engineering ... S. export control laws and regulations without sponsorship for an export license. WORKING ...

Staff Quantum Sensor Physicist

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Works with electrical, mechanical, software, firmware, vacuum, laser, and controls engineering ... S. export control laws and regulations without sponsorship for an export license. WORKING ...

Showing results 21-29

Control Engineer Postdoc information

See Chicago, IL salary details

$37.1K

$83.4K

$130.3K

How much do control engineer postdoc jobs pay per year?

As of Aug 19, 2026, the average yearly pay for control engineer postdoc in Chicago, IL is $83,443.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $99,900.00 per year, depending on experience, location, and employer.

What is a control engineer postdoc?

Control Engineer Postdocs are researchers with a Ph.D. who specialize in the design, analysis, and implementation of control systems. They work in academic or industrial research settings, often focusing on advancing knowledge in areas like automation, robotics, or process control. Their responsibilities include conducting experiments, developing new algorithms or methods, publishing research findings, and sometimes mentoring students. This position is typically a temporary role intended to further develop expertise before pursuing a permanent academic or industry position.

What are the key skills and qualifications needed to thrive as a control engineer postdoc?

To thrive as a Control Engineer Postdoc, you need an advanced degree (PhD) in control engineering or a related field, with strong expertise in systems modeling, control theory, and applied mathematics. Proficiency in simulation tools such as MATLAB/Simulink and experience with programming languages like Python or C++, as well as familiarity with hardware-in-the-loop and embedded systems, are typically required. Strong problem-solving skills, effective communication, and the ability to work independently and collaboratively make a candidate stand out. These skills and qualities are critical for conducting advanced research, developing innovative control solutions, and contributing to interdisciplinary projects.

What are some common challenges faced by control engineer postdocs when transitioning from academia to industry-focused projects?

One common challenge for Control Engineer Postdocs moving into industry-oriented projects is adapting to faster-paced development cycles and stricter project deadlines. Unlike academic research, industry projects often require practical, scalable solutions rather than theoretical proofs. Additionally, postdocs may need to collaborate closely with multidisciplinary teams, including software developers, product managers, and hardware engineers, making strong communication and teamwork skills essential. This transition also often involves working with proprietary tools and adhering to industry standards, which may require additional training.

What is the difference between Control Engineer Postdoc vs Control Engineer?

AspectControl Engineer PostdocControl Engineer
Required CredentialsPhD in Engineering or related field, research experienceBachelor's or Master's in Engineering, professional experience
Work EnvironmentAcademic research labs, universitiesIndustrial settings, manufacturing, automation companies
Employer & Industry UsageUniversities, research institutionsManufacturing firms, tech companies
Common Search & ComparisonResearch-focused roles, academic positionsIndustry-focused roles, engineering positions

The main difference between a Control Engineer Postdoc and a Control Engineer lies in their focus and work environment. A Control Engineer Postdoc is primarily involved in academic research, requiring a PhD and working in universities or research labs. In contrast, a Control Engineer typically works in industry, applying engineering principles in manufacturing or automation settings. Both roles require a strong background in control systems, but their career paths and work environments differ significantly.

What are popular job titles related to Control Engineer Postdoc jobs in Chicago, IL?

For Control Engineer Postdoc jobs in Chicago, IL, the most frequently searched job titles are:

Research Software Engineer

University of Chicago Library

Chicago, IL • On-site, Remote

$110K - $135K/yr

Full-time

Medical, Retirement, PTO

Posted 27 days ago


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

162nd of 619 rated colleges and universities


Job description

Department

PSD Data Science: Tech Administration


About the Department

The University of Chicago Data Science Institute (DSI) is a hub for scholars, researchers, educators, and practitioners tackling the methodological, societal, and domain-specific challenges of our increasingly data-driven world. As a leader in the field, DSI drives cutting-edge research, fosters innovation in data education at all levels, and engages in meaningful partnerships with industry, government, and the broader community.


Job Summary

The Research Software Engineer (RSE) will develop software to support DSI's research priorities and specific initiatives related to data science for social good including resilient food systems, climate, and human rights. The RSE will collaborate with the software team and interdisciplinary research groups across the University of Chicago to develop new software products and build robust, scalable solutions for computational research and public impact projects.
This role involves designing, developing, testing, and maintaining software, with an emphasis on high-quality, reusable code. The ideal candidate will have experience working with substantial existing codebases, strong problem-solving skills, and a keen interest in data-driven applications, machine learning, and artificial intelligence.
This position is eligible for a partial remote work arrangement.

Responsibilities

  • Design, develop, test, and debug complex software programs.

  • Implement and optimize algorithms for data-intensive research.

  • Deploy and maintain systems in both simulated environments and on physical hardware.

  • Diagnose and resolve complex system and software issues.

  • Execute feature requests independently, with guidance from the PI and project manager on goals and design.

  • Collaborate with team members to improve software quality, testability, and fault tolerance.

  • Manage multiple projects simultaneously, supporting faculty, postdoctoral researchers and students in achieving their research objectives.

  • Develops, tests, debugs, and maintains new and existing applicationsoftware.

  • Works independently to define and document project requirements and provides overall technical guidance in design, architecture and implementation ofsoftwaresolutions.

  • Performs other related work as needed.


Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.


Work Experience:

Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.


Certifications:

---

Preferred Qualifications

Experience:

  • Professional experience in software engineering or a related programming field.

  • Strong experience with Linux, Python, and at least one additional programming language.

  • Experience working with large, existing codebases.

  • Experience in building web applications and APIs.

Technical Skills or Knowledge:

  • Knowledge of cloud computing platforms (AWS, GCP, Azure, etc.).

  • Proficiency in software development best practices, including version control (Git) and CI/CD pipelines.

Preferred Competencies

  • Strong project management, analytical, and problem-solving skills.

  • Excellent written and verbal communication skills in English.

  • Ability to work effectively in a dynamic, hybrid work environment, collaborating with faculty, staff, students, and the broader UChicago community.

  • Familiarity with virtualization and containerization (Docker, Kubernetes, etc.).

  • Expertise in at least one of the following: Developing highly performant solutions to computational problems using Python; Modern frameworks for full-stack web development, including backend (Flask, Node.js), front-end (React, Angular), and/or GIS and spatial data visualization tools; Building AI solutions, including chatbots, RAG, and other LLM-based tools.

  • Interest in and experience developing software to support data-driven research.

Application Documents

  • Resume/CV (required)

  • Cover Letter (preferred)

  • References (3 contacts) (preferred)


The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.
When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.


Job Family

Research


Role Impact

Individual Contributor


Scheduled Weekly Hours

37.5


Drug Test Required

No


Health Screen Required

No


Motor Vehicle Record Inquiry Required

No


Pay Rate Type

Salary


FLSA Status

Exempt


Pay Range

$110,000.00 - $135,000.00

The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.


Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.


Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at:http://securityreport.uchicago.edu.Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.


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