Argonne National Laboratory Worker Type: Regular Time Type: Full time Location: Lemont, Illinois Job Family: Research Development (RD) Job Profile: Computational Science 3 POSITION DESCRIPTION Argonne National Laboratory in the Intelligent Vehicle Control group within Argonne’s Vehicle and Mobility Systems (VMS) department seeks a highly qualified researcher to lead advanced controls development for Connected and Automated Vehicles (CAVs). The successful candidate will drive innovation in control and optimization, scenario generation, and multi-resolution modeling, with a focus on real-world deployment and experimental validation. This position will play a key role in advancing Argonne’s mission of energy-efficiency, affordability and increased mobility in vehicle and transportation systems. The selected candidate will join a multidisciplinary team at the forefront of CAV research, working on projects that span from theoretical control development to real-world experimentation. PRIMARY RESPONSIBILITIES Leading the development and refinement of advanced control algorithms for CAVs, leveraging state-of-the-art techniques such as Koopman Operator theory, model-predictive control, optimal control theory and AI-based methods. Designing and implementing CAV models, including CAV-tailored scenarios and, using a multi-resolution approach, with tools such as Argonne’s RoadRunner, SUMO and POLARIS. Advancing traffic flow modeling capabilities within RoadRunner, with a focus on scalable, data-driven, and AI-enhanced approaches. Overseeing the deployment of control algorithms to experimental hardware platforms, supporting hardware-in-the-loop and on-road testing. Collaborating with internal and external partners to ensure seamless integration of control and simulation tools, and to support large-scale case studies and field experiments. Documenting research outcomes, publishing in high-impact venues, and presenting findings to stakeholders and the broader scientific community. Mentoring junior staff and contributing to the strategic direction of the Intelligent Vehicle Control group. POSITION REQUIREMENTS Ph.D. in Mechanical, Electrical, Civil, or related Engineering field, with a focus on connected and automated vehicle systems, control, or transportation systems. At least five years of research experience in CAV control, optimization, or traffic simulation. Demonstrated expertise in advanced control theory and optimization, including but not limited to: Koopman Operator methods, model-predictive control, optimal control, reinforcement learning, and AI for controls. Proven experience in CAV scenario generation, multi-resolution modeling, and integration with large-scale simulation platforms (e.g., POLARIS). Strong background in traffic flow modeling, with hands-on experience developing and extending simulation tools such as RoadRunner. Proficiency in programming languages and environments relevant to CAV research (e.g., Matlab, Python, C++), and experience with model development in Simulink. Experience deploying control algorithms to experimental hardware, including hardware-in-the-loop and real-world vehicle platforms. Excellent written and oral communication skills, with a strong publication record and experience presenting to diverse audiences. Demonstrated ability to work collaboratively in multidisciplinary teams and mentor junior researchers. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. This position requires an on-site presence at the Argonne campus in Lemont, Illinois. COMPENSATION The expected hiring range for this position is $116,250.00 - $181,350.00. 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! EQUAL EMPLOYMENT OPPORTUNITY 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. FOREIGN GOVERNMENT SPONSORED OR AFFILIATED ACTIVITIES 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. BACKGROUND CHECK AND GOVERNMENT ACCESS AUTHORIZATION 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. BUILD YOUR CAREER AT ARGONNE Interested in translating science into innovation? Build your career at Argonne. At Argonne, we view the world from a different perspective. Our scientists and engineers conduct world-class research in clean energy, the environment, technology, national security and more. We’re finding creative ways to prepare the world for a better future. To learn more about Argonne's benefits programs, amenities, and other employee programs, visit our main Careers site. To learn more about the exciting science going on at Argonne, visit our Science and Technology page. To request a reasonable accommodation or for other application support, contact us anytime at careers@anl.gov or 630-252-2336. If you apply for this position please say you saw it on Academicoxy

Argonne National Laboratory

Worker Type: Regular
Time Type: Full time
Location: Lemont, Illinois
Job Family: Research Development (RD)
Job Profile: Computational Science 3

POSITION DESCRIPTION

Argonne National Laboratory in the Intelligent Vehicle Control group within Argonne’s Vehicle and Mobility Systems (VMS) department seeks a highly qualified researcher to lead advanced controls development for Connected and Automated Vehicles (CAVs).

The successful candidate will drive innovation in control and optimization, scenario generation, and multi-resolution modeling, with a focus on real-world deployment and experimental validation. This position will play a key role in advancing Argonne’s mission of energy-efficiency, affordability and increased mobility in vehicle and transportation systems.

The selected candidate will join a multidisciplinary team at the forefront of CAV research, working on projects that span from theoretical control development to real-world experimentation.

PRIMARY RESPONSIBILITIES

Leading the development and refinement of advanced control algorithms for CAVs, leveraging state-of-the-art techniques such as Koopman Operator theory, model-predictive control, optimal control theory and AI-based methods.
Designing and implementing CAV models, including CAV-tailored scenarios and, using a multi-resolution approach, with tools such as Argonne’s RoadRunner, SUMO and POLARIS.
Advancing traffic flow modeling capabilities within RoadRunner, with a focus on scalable, data-driven, and AI-enhanced approaches.
Overseeing the deployment of control algorithms to experimental hardware platforms, supporting hardware-in-the-loop and on-road testing.
Collaborating with internal and external partners to ensure seamless integration of control and simulation tools, and to support large-scale case studies and field experiments.
Documenting research outcomes, publishing in high-impact venues, and presenting findings to stakeholders and the broader scientific community.
Mentoring junior staff and contributing to the strategic direction of the Intelligent Vehicle Control group.

POSITION REQUIREMENTS

Ph.D. in Mechanical, Electrical, Civil, or related Engineering field, with a focus on connected and automated vehicle systems, control, or transportation systems.
At least five years of research experience in CAV control, optimization, or traffic simulation.
Demonstrated expertise in advanced control theory and optimization, including but not limited to: Koopman Operator methods, model-predictive control, optimal control, reinforcement learning, and AI for controls.
Proven experience in CAV scenario generation, multi-resolution modeling, and integration with large-scale simulation platforms (e.g., POLARIS).
Strong background in traffic flow modeling, with hands-on experience developing and extending simulation tools such as RoadRunner.
Proficiency in programming languages and environments relevant to CAV research (e.g., Matlab, Python, C++), and experience with model development in Simulink.
Experience deploying control algorithms to experimental hardware, including hardware-in-the-loop and real-world vehicle platforms.
Excellent written and oral communication skills, with a strong publication record and experience presenting to diverse audiences.
Demonstrated ability to work collaboratively in multidisciplinary teams and mentor junior researchers.
Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

This position requires an on-site presence at the Argonne campus in Lemont, Illinois.

COMPENSATION

The expected hiring range for this position is $116,250.00 - $181,350.00.

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!

EQUAL EMPLOYMENT OPPORTUNITY

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.

FOREIGN GOVERNMENT SPONSORED OR AFFILIATED ACTIVITIES

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.

BACKGROUND CHECK AND GOVERNMENT ACCESS AUTHORIZATION

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.

BUILD YOUR CAREER AT ARGONNE

Interested in translating science into innovation? Build your career at Argonne.

At Argonne, we view the world from a different perspective. Our scientists and engineers conduct world-class research in clean energy, the environment, technology, national security and more. We’re finding creative ways to prepare the world for a better future.

To learn more about Argonne's benefits programs, amenities, and other employee programs, visit our main Careers site.

To learn more about the exciting science going on at Argonne, visit our Science and Technology page.

To request a reasonable accommodation or for other application support, contact us anytime at careers@anl.gov or 630-252-2336.

If you apply for this position please say you saw it on Academicoxy

Apply

All Jobs