Research Scientist

Clemson University; Clemson (SC); On-site; USD 68,000 - 90,000; Full time

Job summary

Clemson University in North Charleston, SC seeks a Research Scientist to design, develop, and implement advanced control systems that operate under uncertainty, integrating uncertainty quantification into modeling, simulation and real-time decision workflows, with ASME V&V aligned practices.

You will collaborate with faculty, students, and industry partners, apply AI/ML methods to enhance system performance, validate data-driven components, and mentor interns and graduate students in a

Qualifications

• Firm working knowledge of concepts, practices and procedures and ability to use in varied situations.

Responsibilities

• Design, develop, and implement advanced control systems under uncertainty, integrating uncertainty quantification into modeling, simulation, and real-time decision workflows with ASME V&V alignment.
• Provide oversight, guidance, and mentoring to student interns and graduate students, emphasizing uncertainty quantification, model verification, and validation, and ensure compliance with safety and environmental regulations.
• Stay current with AI/ML developments and apply new techniques to advance control systems, pursuing funding and publishing in peer-reviewed journals.

Job description

Research Scientist

Full Time

JR-10053

JOB SUMMARY

This role focuses on designing and implementing advanced control systems that seamlessly integrate uncertainty quantification across modeling, simulation, and decision making workflows. It requires applying rigorous ASME aligned verification and validation practices to ensure model credibility and reliability in diverse engineering contexts. The position leverages AI and machine learning to enhance system performance while rigorously characterizing uncertainty, validating data driven components, and assessing the robustness of autonomous decision processes. Collaboration with faculty, students, visiting researchers, and industry partners-particularly those engaged with Clemson's MV test facility-is central, with an emphasis on VVUQ driven experimental design, model refinement, and system level evaluation.

JOB DUTIES

50% - Design, develop, and implement advanced control systems that operate under uncertainty, integrating uncertainty quantification into modeling, simulation, and real-time decision workflows supported by high-performance computing. Apply rigorous verification and validation practices-aligned with ASME V&V methodologies-to ensure model credibility, assess numerical accuracy, and establish confidence in both physics-based and data-driven components. Leverage AI and ML techniques to enhance the performance, efficiency, and scalability of control systems while systematically characterizing model uncertainty, validating learning-enabled elements, and evaluating robustness across diverse engineering domains, including renewable energy technologies, electric transportation, industrial automation, and other complex engineered systems. 20% - Provide oversight, guidance, and mentoring to student interns and graduate students, emphasizing best practices in uncertainty quantification, model verification, and validation to ensure credible and trustworthy computational and experimental work. Maintain strict industry confidentiality and ensure secure handling of equipment, data, and models, including the protection of validation datasets and sensitive uncertainty analyses. Build strong, VVUQ-aware relationships with industry partners to support collaborative research, model-credibility assessments, and educational engagement. Ensure full compliance with all federal and state safety and environmental regulations, integrating verification and validation principles into laboratory procedures, experimental protocols, and risk-informed decision-making. 30% - Stay current with emerging developments in AI and ML, and apply new techniques to advance control systems while incorporating rigorous uncertainty quantification, verification, and validation practices consistent with ASME V&V methodologies. Continuously evaluate the credibility and robustness of both physics-based and data-driven models, ensuring that new computational approaches meet established standards for model accuracy, reliability, and uncertainty management across diverse engineering applications. Pursue competitive grant funding that leverages the capabilities of the CURI campus, emphasizing VVUQ-driven research themes, and actively work toward publishing in peer-reviewed journals that highlight contributions in model validation, uncertainty quantification, and trustworthy computational engineering.

JOB CODE

UK07

EMPLOYEE TYPE

Time-Limited (TLP) Staff

RESPONSIBILITIES

JOB KNOWLEDGE

Firm working knowledge of concepts, practices and procedures and ability to use in varied situations.

SUPERVISORY RESPONSIBILITIES

Acts as a Lead by guiding the work of others who perform essentially the same work.

BUDGETARY RESPONSIBILITIES

Fiscal Responsibilities: Fiscal responsibilities for the department's budget, including but not limited to, financial planning and managing fund allocation

PHYSICAL REQUIREMENTS

Recognize or inspect visually: 10% Extends hands or arms in any direction: 5% Sit (stationary position) for prolonged period: 10% Use hands or feet to operate or handle machinery, equipment, etc.: 10% Position self to accomplish task (i.e. stoop, kneel, crawl): 10% Communicate, converse, give direction, express oneself: 10% Walk or move about: 10% Move, transport, raise or lower 50 lbs or more: 5% Stand for Prolonged Period: 10% Move, transport, raise or lower 30lbs or less: 10% Perceive, observe, clarity of vision: 10% Ascend or descend (i.e. stairs, ladder): 10%

WORKING CONDITIONS

Wet and/or humid: 20% Exposure to heat or cold: 20% Noise: 10% Mechanical hazards: 20% Electrical hazards: 30%

WORK SCHEDULE

Standard Hours:

37.5

COMPENSATION INFORMATION

Expected Salary Range

67765 - 90000

Salary is dependent upon several factors including, but not limited to, a candidate's previous experience, knowledge, skills and performance in accordance with Clemson's compensation guidelines.

ESSENTIAL PERSONNEL LEVEL

Normal Operations - Required to follow emergency facility closure and modified operations directives, and not normally expected to work on-site during emergency situations.

JOB LOCATION

North Charleston, SC

APPLICATION DEADLINE

August 17, 2026

MILITARY AND VETERAN

Military Equivalency

Clemson University is proud to allow educational equivalency for military technical certifications and trainings that directly relate to the job duties.

Veteran Preference

South Carolina provides employment preference to eligible veterans for qualifying full-time permanent positions. To be considered, applicants must meet the minimum qualifications, have been discharged under honorable conditions, and indicate their veteran status in the application by uploading a DD-214 for confidential review. A request for Veteran Preference can be made via the application process. Please contact [e-mail] with any questions or issues.

CLOSING STATEMENT

Clemson University is an EEO/AA employer. Employment decisions are made without regard to characteristics protected by applicable law including disability and protected veteran status.