Two Fully Funded PhD Positions in HUGO Lab at the University of South Carolina, Columbia
Accepting applications Fully Funded

Two Fully Funded PhD Positions in HUGO Lab at the University of South Carolina, Columbia

Last updated Jul 1, 2026

Country
United States
Level
phd
Organization
University of South Carolina
Field
Engineering, Human Factors, Robotics, Artificial Intelligence, Industrial Engineering, Mechanical Engineering, Human-AI Interaction, Human-Machine Interaction, Human-Robot Interaction, Ergonomics, Industrial Safety, Vehicle Ergonomics, Human Variability, Digital Twin Systems, Human-Centered Design, Product Design and Development
Funding
fully funded

Overview

These are fully funded PhD positions available in the HUman Factors & erGOnomics (HUGO) Lab within the Mechanical Engineering Department at the University of South Carolina, Columbia. The positions are suitable for students with backgrounds in engineering, human factors, robotics, artificial intelligence (AI), industrial engineering, mechanical engineering, or related disciplines. Research areas include Human-AI Interaction, Human-Machine Interaction, Human-Robot Interaction, Human Factors and Ergonomics, Industrial Safety, Vehicle Ergonomics, Human Variability, Digital Twin Systems, Human-Centered Design, and Product Design and Development. Applications of this research focus on transportation, energy, industrial systems, control rooms, and pipeline safety.

Coverage

This is a fully funded scholarship. Successful PhD students will receive a full tuition waiver, a monthly living stipend, and guaranteed funding for the first two years. Continued funding throughout the PhD program is subject to satisfactory academic and research performance.

Eligibility

These positions are open to applicants of all nationalities. Candidates should possess a Master’s degree in Engineering or a related field, demonstrate a strong interest in human-centered systems and ergonomics, and have good analytical and communication skills. Applicants must also meet the general graduate admission requirements of the University of South Carolina.

Requirements

Applicants are required to prepare and submit the following documents: a one-page cover letter, a Curriculum Vitae (CV), and a one-page statement of research interests. Preferred qualifications include experience in data analysis or experimental research, research publications in journals or conferences, programming experience (MATLAB preferred), and knowledge of statistics such as regression and ANOVA.

How to apply

Interested candidates should email their one-page cover letter, Curriculum Vitae (CV), and one-page statement of research interests directly to Dr. Jangwoon Park, Associate Professor (Incoming), at [email protected]. Only shortlisted candidates will be invited for an online or in-person interview.

Notes

Intakes for these positions are scheduled for Spring 2027 and Fall 2027.

Source & Verification

Host organization: University of South Carolina

Original source: BrightScholarship

Official application page: https://brightscholarship.com/phd-positions-in-hugo-lab-at-university-of-south-carolina/

Verify the deadline, eligibility, and document list on the official website before applying.

How to Apply

  1. 1

    Read the full requirements

    Visit the official application page and read all eligibility criteria carefully before investing time in the application.

  2. 2

    Gather your documents

    Collect transcripts, certificates, and references. Official copies may require apostille — start this process early.

  3. 3

    Request recommendation letters

    Contact your referees at least 4–6 weeks before the deadline. Brief them on the scholarship and your goals.

  4. 4

    Write your motivation letter

    Be specific about your goals, why you chose this program, and your plan to contribute to Ethiopia after completing your studies.

  5. 5

    Proofread and submit early

    Submit at least 3–5 days before the deadline. Technical issues are common — never submit on the last day.

Go to Official Application

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