Research Scientist (North Charleston, SC) at Clemson University in NORTH CHARLESTON, South Carolina

Job Description:

Clemson University



Job ID:109629

Location:CURI - Charleston

Full/Part Time:Full-Time

Regular/Temporary:Temporary

JOB SUMMARY:

Designing, developing, and implementing advanced control systems for power converters across unit-level and system-level architectures. Leveraging artificial intelligence (AI) and machine learning (ML) techniques to enhance the performance, efficiency, and scalability of converter control systems used in applications such as renewable energy systems, smart grids, electric vehicles, and industrial automation. Work closely with faculty, students, visiting scientists and industry partners engaged with Clemson's MV test facility.

JOB DUTIES:

50% - Essential - Develop AI-enhanced control strategies for power converters, focusing on unit-level control optimization and system-level integration. Design algorithms using AI/ML methods (such as neural networks, reinforcement learning, etc.) to improve converter performance, efficiency, fault tolerance, and grid interaction.

30% - Essential - Stay current with the latest trends in AI, ML, and power electronics, and apply emerging techniques to improve control systems. Seek competitive grant funding to expand the capabilities of the eGRID facility and actively pursue publications in peer-reviewed journals.

20% - Essential - Provide oversight, guidance and mentoring to student interns and/or graduate students. Ensure industry confidentiality, security of equipment and data. Build strong relationships with industry to further research and educational collaboration. Ensure all federal and state safety and environmental regulations and guidelines are followed at all times.

MINIMUM REQUIREMENTS:

Education - Doctoral Degree in Electrical Engineering, Power Electronics, Control Systems, or a related field.

Experience - 2+ years directly related to power converter design, control theory, and system-level integration. Proficiency in AI/ML algorithms, particularly as applied to control systems and optimization.

This position will require close collaboration and frequent visits to Savannah River National Laboratory (SRNL) located in Aiken, SC. Therefore, all qualified candidates must meet the minimum requirement of being a U.S. citizen, which is necessary to meet US Department of Energy security level clearances.

PREFERRED REQUIREMENTS:

Experience - 1+ years modeling converters, T&D systems, P-HIL emulations. Hands-on experience with real-time control systems, DSPs, and FPGAs for converter implementation is preferred.

Certification: EIT (Engineer in Training License/Certification)

RESPONSIBILITIES:

JOB KNOWLEDGE
Firm Job Knowledge - Firm working knowledge of concepts, practices and procedures and ability to use in varied situations

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

BUDGETARY RESPONSIBILITIES
No Budget Responsibilities - No fiscal responsibility for the department's budget.

PHYSICAL REQUIREMENTS:

Experience - 1+ years modeling converters, T&D systems, P-HIL emulations. Hands-on experience with real-time control systems, DSPs, and FPGAs for converter implementation is preferred.

Certification: EIT (Engineer in Training License/Certification)

WORKING CONDITIONS:

Exposure to heat or cold
Wet or humid
Noise
Mechanical hazards
Electrical hazards

WORK SCHEDULE:

Standard Hrs: 37.5

JOB LOCATION:

North Charleston, SC

APPLICATION DEADLINE:

May 6, 2025

CLOSING STATEMENT:

Clemson University is an AA/EEO employer and does not discriminate against any person or group on the basis of age, color, disability, gender, pregnancy, national origin, race, religion, sexual orientation, veteran status or genetic information.



Equal employment opportunity, including veterans and individuals with disabilities.

PI266368241

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