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Control Research Scientist Jobs in Wisconsin (NOW HIRING)

Ametek

R&D Scientist

Madison, WI

... R&D Scientist to support the design and development of next-generation Atom Probe microscopes ... Today, our products serve a broad range of laboratory and process control applications in end ...

Ametek

R&D Scientist

Madison, WI · On-site

... R&D Scientist to support the design and development of next-generation Atom Probe microscopes ... Today, our products serve a broad range of laboratory and process control applications in end ...

Wisconsin

Data Scientist II or III

Madison, WI · On-site

$85K/yr

... control, collaboration, and reproducible analyses. The successful candidate will work with large ... Documents approaches to address research questions and contributes to the establishment of ...

Sartori

Sensory Scientist III

Plymouth, WI · On-site

The Sensory Scientist partners closely with R&D, Quality, Operations, and Supply Chain, Marketing and Sales to translate sensory data into actionable insights related to process control, ingredient ...

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Control Research Scientist information

What is the difference between Control Research Scientist vs Control Engineer?

AspectControl Research ScientistControl Engineer
Required CredentialsMaster's or PhD in Engineering, Control Systems, or related fieldsBachelor's or Master's in Electrical, Mechanical, or Control Engineering
Work EnvironmentResearch labs, academia, R&D departmentsIndustrial settings, manufacturing, automation projects
Employer & Industry UsageUniversities, research institutions, tech companiesManufacturers, aerospace, automotive, process industries

Control Research Scientists focus on developing new control algorithms and conducting advanced research, often in academic or R&D settings. Control Engineers apply existing control theories to design, implement, and optimize control systems in industrial environments. While both roles require strong knowledge of control systems, the Control Research Scientist emphasizes innovation and theoretical development, whereas the Control Engineer emphasizes practical application and system deployment.

What are the key skills and qualifications needed to thrive as a control research scientist?

To thrive as a Control Research Scientist, you need a solid background in control theory, applied mathematics, and engineering, often supported by a Ph.D. in electrical, mechanical, or aerospace engineering. Familiarity with simulation software such as MATLAB/Simulink, programming languages like Python or C++, and experience with modeling and data analysis tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication are important soft skills in this role. These competencies are essential for designing advanced control systems, conducting impactful research, and effectively sharing findings with both technical and non-technical stakeholders.

What are some common collaboration dynamics for a control research scientist within multidisciplinary teams?

Control Research Scientists often work closely with professionals from various fields, such as electrical engineering, mechanical engineering, and data science. Collaboration typically involves jointly developing algorithms, integrating control systems into prototypes, and troubleshooting experimental results. Strong communication skills are essential, as you’ll regularly present findings, discuss technical challenges, and coordinate with both research and implementation teams. This multidisciplinary environment fosters innovation but also requires adaptability to different working styles and technical languages.

What is a control research scientist?

Control research scientists are experts who study, design, and develop control systems to manage the behavior of dynamic systems in fields like engineering, robotics, and automation. Their work involves creating mathematical models, algorithms, and technologies that help systems operate efficiently and respond to changing conditions. They often collaborate with engineers and other scientists to solve complex problems and improve performance in applications such as manufacturing, aerospace, and automotive systems.

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For Control Research Scientist jobs in Wisconsin, the most frequently searched job titles are:

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The top searched job categories for Control Research Scientist jobs in Wisconsin are:

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Cities in Wisconsin with the most Control Research Scientist job openings:

Control Research Scientist jobs near you
Infographic showing various Control Research Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 4% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Research Cyberinfrastructure Manager

The Morgridge Institute for Research

Madison, WI • On-site

Full-time

Re-posted 6 days ago

Job description

Description

Job Purpose

The Research Cyberinfrastructure Manager will provide technical oversight for the development team within the Research Computing group, overseeing a team including Research Software Engineers (RSEs) working on large-scale data management problems within the institute's and national cyberinfrastructure as part of the Center for High Throughput Computing (CHTC).

The primary focus of this position is day-to-day oversight of the development and integration of the Pelican Platform-a distributed, global-scale platform for delivering data to compute workflows. The manager will work under the group lead to define technical road maps, prioritizing development workflows, and mentoring RSEs to ensure high-quality software engineering practices. While the position provides day-to-day team leadership and technical guidance, it operates within the broader Morgridge ecosystem, collaborating with the PIs who lead major NSF-funded cyberinfrastructure projects such as the Partnership to Advance Throughput Computing (PATh), the Pelican Platform, and the Fabric for AI-Driven Science (FabAID). The ideal candidate will bridge the gap between high-level objectives / architectures and daily software implementation, ensuring the team effectively leverages modern software engineering practices to advance Fearless Science at the Morgridge Institute.


Primary Responsibilities

? Technical Team Leadership: Lead and mentor a team of four RSEs, overseeing the development and implementation of software, including the Pelican Platform. Coordinate daily development workflows, execute project milestones, and ensure code quality and system robustness.

? Strategic Planning & Scoping: Interact with the Research Computing PIs to identify software engineering challenges. Translate architectural designs and principles into actionable technical requirements and plans.

? Project Oversight: Manage projects' technical roadmap and delivery. Utilize project management and issue-tracking systems (JIRA, GitHub) to organize work, track progress, and communicate status to stakeholders.

? Software Engineering Practices: Improve and enforce best practices for systems development, including testing, code review, and the use of modern CI/CD tooling. Work with the team to enhance productivity, through use of agentic AI or other techniques.

? Cross-Team Coordination: Work with the integration and operations teams to identify and prioritize issues and coordinate rollout of new versions and functionality.

? Stakeholder Communication: Serve as a technical point of contact for external partners and the broader US and international cyberinfrastructure community. Represent the team at relevant technical meetings with external groups.

? Miscellaneous duties as required 

Requirements

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.


Education and Experience:

? Bachelor's degree in Computer Science, Mathematics, Physics, or related fields; Master's degree preferred.

? 5+ years of experience in software engineering, with at least 3+ years in a leadership or senior technical / architectural role, preferably in a research, academic or distributed systems environment.

? Demonstrated experience leading or coordinating technical teams.

? Experience in utilizing or software [JW1] engineering inside research computing environments (batch, cloud, or HTC/HPC).

? Strong background in distributed systems design, architecture, and programming.

? Expertise in managing project workflows using issue trackers and version control systems (GitHub/JIRA).


Knowledge, Skills and Abilities:

? Proven ability to translate complex research goals into concrete software requirements and design documents.

? Strong familiarity with modern DevOps/Agile/Scrum development styles.

? Familiarity with CI/CD tooling (GitHub Actions/Jenkins) and using agentic AI as part of software development.

? Ability to mentor and grow the technical skills of junior and mid-level software engineers.

? Deep understanding of, or rapid ability to learn, cyberinfrastructure projects and ecosystem (e.g., HTCondor, Pelican).


Working Conditions and Physical Effort:

? Work is normally performed in a typical office environment.

? Day-to-day, no or very limited physical effort is required.

? No or very limited exposure to physical risk.

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