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Control Systems Engineering Phd Jobs (NOW HIRING)

Or a PhD or equivalent in an Engineering or Scientific field with a minimum of 8 years of ... Demonstrated proficiency in design, optimization, and validation of control systems and algorithms.

Camera Control-Systems Engineer

Cupertino, CA · On-site

$159K - $166K/yr

Description Camera control-systems engineering involves systems-level analysis and modeling of ... PhD in Physics, ME, EE, ASE (Aero/Astro), CS, or Optical Engineering and 10+ years of relevant ...

Control Systems Engineer

Dubuque, IA · On-site

$70K - $100K/yr

RFA Engineering (www.rfamec.com) is an engineering service provider dedicated to delivering our ... Control Systems Engineer As a Control Systems Engineer, you will work with a cross-functional ...

Control Systems Engineer

Chillicothe, IL · On-site

$70K - $100K/yr

RFA Engineering (www.rfamec.com) is an engineering service provider dedicated to delivering our ... Control Systems Engineer As a Control Systems Engineer, you will support the development, testing ...

Control Systems Engineer

Chillicothe, IL · On-site

$70K - $100K/yr

RFA Engineering (www.rfamec.com ) is an engineering service provider dedicated to delivering our ... As a Control Systems Engineer, you will support the development, testing, and improvement of ...

Collaborate with operations, engineering, IT/cybersecurity, energy-market personnel, vendors, utilities, and other external partners. Level of Responsibility Control Systems Engineer Independently ...

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Control Systems Engineering Phd information

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$61K

$108.8K

$175.5K

How much do control systems engineering phd jobs pay per year?

As of Sep 11, 2026, the average yearly pay for control systems engineering phd in the United States is $108,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $126,500.00 per year, depending on experience, location, and employer.

What is a control systems engineering PhD?

Control Systems Engineering PhDs are advanced degree holders who specialize in the analysis, design, and implementation of systems that control dynamic processes. They apply principles from electrical, mechanical, and computer engineering to create automated systems for industries such as manufacturing, robotics, aerospace, and automotive. Their research often focuses on developing new algorithms, improving system stability, and enhancing efficiency and safety in automated processes. Graduates with this degree typically work in academia, research institutions, or high-tech industries.

What are typical research and collaboration opportunities for a control systems engineering PhD within industry or academia?

As a Control Systems Engineering PhD, you may engage in interdisciplinary research projects that intersect with fields such as robotics, automation, and artificial intelligence. In industry, collaboration often involves working closely with teams of engineers and data scientists to design and optimize control algorithms for complex systems like manufacturing processes or autonomous vehicles. In academic settings, you can expect to collaborate with faculty, students, and external partners on funded research grants, publish findings, and present at conferences. These roles provide excellent opportunities to build a professional network, advance technical expertise, and potentially transition into leadership or principal investigator positions over time.

What are the key skills and qualifications needed to thrive as a control systems engineering PhD, and why are they important?

To thrive as a Control Systems Engineering PhD, you need advanced knowledge in control theory, systems modeling, and mathematics, typically supported by a doctoral degree in engineering or a related field. Familiarity with technical tools such as MATLAB, Simulink, LabVIEW, and experience with simulation software and programming languages like Python or C++ are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout candidates apart. These skills and qualifications are vital for designing, analyzing, and optimizing complex systems across industries, ensuring innovation and robust solutions to engineering challenges.

What is the difference between Control Systems Engineering Phd vs Control Systems Engineer?

AspectControl Systems Engineering PhdControl Systems Engineer
Required CredentialsDoctorate (PhD) in Control Systems or related fieldBachelor's or Master's degree in Engineering or related field
Work EnvironmentResearch labs, academia, advanced R&D departmentsIndustrial settings, manufacturing, automation projects
Employer & Industry UsageUniversities, research institutions, high-tech companiesManufacturers, aerospace, automotive, automation firms

The Control Systems Engineering Phd typically focuses on research, development, and advanced analysis, often in academia or R&D. In contrast, a Control Systems Engineer applies engineering principles to design, implement, and maintain control systems in industrial environments. Both roles require knowledge of control theory, but the Phd emphasizes research and innovation, while the engineer role emphasizes practical application and system integration.

What are popular job titles related to Control Systems Engineering Phd jobs?

For Control Systems Engineering Phd jobs, the most frequently searched job titles are:

Infographic showing various Control Systems Engineering Phd job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $108,776 per year, or $52.3 per hour.

Control Systems Engineer

Irvine, CA

Cypress HCM
Recruiting and Staffing Services • 51 - 200 employees

$200K - $250K/yr

Full-time

Re-posted 13 days ago


Job description

A top medical device client is seeking a highly experienced, direct hire Control Systems Engineer to lead the design and development of advanced control algorithms for life-saving and life-enhancing medical technologies in Irvine, CA. This is a senior-level role within our R&D Algorithm Development team, requiring deep expertise in control theory, signal processing, physiological systems, and algorithm development for medical device innovation. This is a critical role in shaping the future of intelligent, closed-loop medical systems that improve patient outcomes through precision, automation, and real-time responsiveness.
 
Key Responsibilities:
  1. Apply control engineering, scientific, mathematical, signal processing, and human physiology experience to develop algorithms for critical care patient monitoring and drug delivery products, with specific focus on system automation and closed-loop control.
  2. Lead the design and implementation of control algorithms for medical devices, including closed-loop systems, adaptive control, and model predictive control.
  3. Develop simulation models (e.g., MATLAB/Simulink) to validate control strategies and optimize system performance.
  4. Analyze physiological signals and sensor data to inform algorithm design and improve device responsiveness.
  5. Lead research and feasibility of new concepts, conduct animal studies and clinical data collection, analyze and interpret clinical data, draw conclusions and prepare final reports and presentations.
  6. Conduct verification and validation testing in accordance with FDA and ISO standards.
  7. Support regulatory submissions by documenting algorithm design, performance, and safety considerations.
  8. Guide and mentor engineers on new and emerging technologies and projects.
 
Requirements:
  1. A bachelor’s degree in an Engineering or Scientific field with a minimum of 12 years of experience is required. 
    1. Or a master’s degree in an Engineering or Scientific field with a minimum of 11 years of experience is required. 
    2. Or a PhD or equivalent in an Engineering or Scientific field with a minimum of 8 years of experience is required. PhD highly preferred.
  2. Recognized as an expert within the field of Control Engineering. 
  3. Expert knowledge and understanding of principles, theories, and concepts of control engineering and system dynamics.
  4. Expert knowledge in signal processing, system identification, mathematical modeling and algorithm development. 
  5. Demonstrated proficiency in design, optimization, and validation of control systems and algorithms.
  6. Strong experience with real-time signals, systems and sensors integration.
  7. Proficiency in MATLAB/Simulink and C/C++ for embedded systems. Real-time implementation and integration of control algorithms.
  8. Strong background in human physiology and anatomy with specific knowledge of cardiovascular hemodynamics and vital signs parameters. Experience with physiological waveforms and parameters.
  9. Experience in modeling of the pharmacokinetics and dynamics of drugs.
  10. Experience with design and implementation of physiologic closed-loop controlled medical devices, such as insulin delivery systems, mechanical ventilators and anesthesia delivery systems.
  11. Experience with FDA design controls and IEC software lifecycle processes.
  12. Knowledge of machine learning and AI techniques applied to control systems.
  13. Requires a high-energy individual who has excellent teamwork, partnering, and negotiation skills.
  14. Strong communication skills are needed to facilitate working with BD teams and executives, third parties, physician collaborators and principal investigators.

 Salary of $200,000 to $250,000 annually + bonus and stock options

Cypress HCM logo

About Cypress HCM

Sourced by ZipRecruiter

We deliver consistently superior recruiting by virtue of trusting, communicative relationships with companies and candidates alike. From Fortune 100s to startups, clients lean on us to fulfill their range of needs from contract to full-time positions. With an intimate knowledge of the industries we serve, a keen sense of what makes for high-performing talent in any role, and shared sense of urgency, our clients will tell you: your solution begins here.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2005

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