Fully Funded PhD in AI and Robotics, USA

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Fully funded PhD in AI and Robotics at Kennesaw State University (2026). Includes tuition, stipend, and research support. Open to U.S. and international applicants.
Fully funded PhD in AI and Robotics at Kennesaw State University (2026). Includes tuition, stipend, and research support. Open to U.S. and international applicants.

PhD in AI and Robotics: Kennesaw State University (KSU) invites applications for fully funded PhD positions in Artificial Intelligence (AI) and Robotics within the Intelligent Dexterity (InDex) Lab, starting in Spring or Fall 2026.

The InDex Lab, led by Dr. Lingfeng Tao, focuses on developing robotic intelligence, dexterity, and human-machine collaboration, exploring how robots learn, evolve, and coexist with humans in dynamic environments.

These positions are part of the Ph.D. in Interdisciplinary Engineering program, which combines mechanical, electrical, and computer engineering.

Students will engage in groundbreaking research to advance robotic autonomy, perception, and adaptability in real-world settings.

USA PhD in AI and Robotics (2026)

This PhD opportunity offers comprehensive support, including full tuition coverage, a competitive stipend, health insurance, and research funding.

It’s ideal for students eager to push the frontiers of robotics, AI, and machine learning while gaining hands-on experience with real-world robotic systems.

Scholarship Information (PhD in AI and Robotics Research)

Program: Ph.D. in Interdisciplinary Engineering

Funding: Fully funded (tuition, stipend, and research support)

Host Country: United States of America

Host University: Kennesaw State University (KSU)

Open to: International and U.S. students

Level of Study: Ph.D.

Field of Study: Artificial Intelligence, Robotics, and Machine Learning

Benefits (PhD in AI and Robotics Research)

  • Full tuition waiver
  • Competitive living stipend
  • Research and conference travel support
  • Access to state-of-the-art robotics laboratories
  • Mentorship from Dr. Lingfeng Tao and interdisciplinary research teams
  • Opportunities for publication and professional development

Research Areas (InDex Lab Focus)

  • Deep Reinforcement Learning (DRL) and Vision-Language-Action (VLA) Models
  • Dexterous Robotic Manipulation
  • Multi-Robot Coordination and Planning
  • Human-Robot Interaction and Teleoperation
  • Robotic Perception and Multi-Modal Sensor Integration
  • Simulation-to-Real Transfer Learning using platforms like MuJoCo Playground and Isaac Lab

Eligibility Requirements (PhD in AI and Robotics Research)

  • Bachelor’s or Master’s degree in Mechanical Engineering, Electrical and Computer Engineering, Computer Science, or related field
  • Strong programming skills in Python and C++
  • Familiarity with frameworks such as PyTorch, ROS, MuJoCo, or Isaac Sim
  • Background knowledge in machine learning, robotics, computer vision, or control systems
  • Self-motivated, innovative, and able to work independently
  • Prior research experience in reinforcement learning or robotic system design (preferred but not mandatory)

Documents Required

  • Curriculum Vitae (CV)
  • Academic transcripts
  • Summary of research interests and goals

How to Apply

1. Prepare your application materials (CV, transcripts, and research summary).

2. Email them directly to Dr. Lingfeng Tao with the subject line: Application for PhD Position – AI and Robotics (2026).

3. Applications are reviewed on a rolling basis, so early submission is highly encouraged.

Application Deadline

  • Spring 2026 Admission Deadline: November 17, 2025
  • Fall 2026 Admission: Open until positions are filled

Why Study at Kennesaw State University

Kennesaw State University’s Department of Robotics and Mechatronics Engineering offers a multidisciplinary approach that integrates mechanical, electrical, and computer engineering.

Students benefit from a collaborative, innovation-driven environment that prepares them for careers in academia, national laboratories, and leading technology firms.

Research areas extend to:

  • Automation and advanced manufacturing
  • Intelligent control systems
  • Machine learning applications
  • Human-robot interaction technologies