The Ph.D. in Human-Robot Interaction at Tufts University is an interdisciplinary doctoral program focused on understanding and improving interactions between humans and robots. Students build advanced research expertise in areas such as robotics, artificial intelligence, human-computer interaction, cognitive science, perception, ethics, and socially assistive technologies.
The program is offered as a joint Ph.D. with a Tufts home department in Computer Science, Electrical and Computer Engineering, or Mechanical Engineering. It is available on campus in Medford/Somerville, with full-time and part-time study options, and the average duration is 3–5 years.
This program is designed for students who want to conduct advanced research at the intersection of robotics, computing, engineering, and human behavior.
The Ph.D. may be a strong fit for applicants with backgrounds in computer science, electrical and computer engineering, mechanical engineering, robotics, human-computer interaction, cognitive science, psychology, human factors, design, or a closely related field. Applicants should be prepared for a research-intensive doctoral experience that combines technical depth with human-centered inquiry.
Because this is a joint Ph.D., students should also meet the expectations of their home department – the Department of Computer Science, Electrical and Computer Engineering, or Mechanical Engineering.
Doctoral study in human-robot interaction combines core HRI coursework, approved electives, research methods preparation, home-department requirements, and independent dissertation research. Courses may count toward both the HRI Ph.D. and the student’s home department when approved.
Students complete a minimum of ten courses:
Students may study topics such as:
The Human-Robot Interaction program at Tufts brings together faculty and students from multiple engineering and computing disciplines to study how people and robots interact across tasks, environments, and communities.
The program connects research in robotics, artificial intelligence, computer science, electrical and computer engineering, mechanical engineering, human factors, cognitive science, perception, control, accessibility, and human-centered design.
Human-robot interaction sits at the intersection of technical systems and human experience. Tufts’ joint Ph.D. model allows students to pursue advanced study through a home department while connecting robotics, computer science, engineering, psychology, human factors, design, and ethics.
Doctoral students are guided by faculty conducting research in areas such as robotics, artificial intelligence, machine learning, human-computer interaction, perception, cognition, control, signal processing, accessibility, and human-centered technologies.
HRI research often requires both technical and human-centered methods. Students develop competence in research methods that may include experimental design, data analysis, system design, user studies, robotics testing, qualitative research, or computational modeling.
Tufts’ Medford/Somerville campus is located near the technology, robotics, healthcare, research, and startup communities of Greater Boston and Cambridge. This setting can support professional connections and exposure to a broader robotics and AI ecosystem.
A Ph.D. in Human-Robot Interaction can support advanced research, teaching, technical leadership, and innovation-focused career paths. Graduates may pursue opportunities across academia, robotics, AI, human-computer interaction, research labs, technology, healthcare, assistive technology, defense, aerospace, manufacturing, and social robotics.
Potential paths may include:
The U.S. Bureau of Labor Statistics does not provide a single occupation category for human-robot interaction researchers. Related career paths may align with computer and information research, mechanical engineering, robotics engineering, human factors, software development, or research scientist roles.
BLS reports that employment for computer and information research scientists is projected to grow 20% from 2024 to 2034. The median annual wage for computer and information research scientists was $140,910 in May 2024.
Participating home departments include Computer Science, Electrical and Computer Engineering, and Mechanical Engineering.
Full-time PhD students within the School of Engineering often receive a tuition scholarship. Applicants should review current tuition and aid information and contact gradadmissions@tufts.edu with questions.
No. GRE General Test scores are not required.
Applicants can apply online through Tufts Graduate Admissions Portal. Required materials typically include transcripts, a resume or CV, letters of recommendation, and a statement of purpose. International applicants may also need to submit English proficiency documentation. Visit the admissions page for current deadlines and application requirements.
Research/Areas of Interest: Artificial intelligence, artificial life, cognitive modeling, foundations of cognitive science, human-robot interaction, multi-scale agent-based models, natural language understanding.
Research/Areas of Interest: navigation, safety-critical transportation systems, state estimation, human-robot interaction
Research/Areas of Interest: Machine Learning, Statistical Signal Processing, Information Theory, Optimal Transport
Research/Areas of Interest: Cognition and Psycholinguistics
Research/Areas of Interest: human-computer interaction, new interaction modes and techniques, implicit brain-computer interfaces, user interface software
Research/Areas of Interest: Multi-Agent Systems; Goal and Plan Recognition; Human-Robot Interactions; Theory of Mind; Intelligent Disobedience
Research/Areas of Interest: Signal processing; image processing; simulation modeling
Research/Areas of Interest: Engineering Education, Human Robot Interaction, Mechanical Engineering, Music Engineering, Artificial Intelligence and Image Processing
Research/Areas of Interest: human-robot interaction, accessibility, robotics, human-in-the-loop machine learning, assistive technology Applying human-centered design and disability community values to the development, deployment, and evaluation of AI and machine learning for robotics, including: human-centered human-in-the-loop machine learning; disability-friendly assistive robotics; autonomous HRI in groups, public spaces, and other human-human contexts; and accessibility and disability inclusion in robotics education and the computing research community.
Research/Areas of Interest: Artificial Intelligence, Developmental Robotics, Computational Perception, Robotic Manipulation, Machine Learning, Human-Robot and Human-Computer Interaction
Research/Areas of Interest: Microelectromechanical Systems (MEMS) fabrication, modeling, and testing. Particularly acoustic MEMS (microphones, ultrasound), and aerodynamic measurement technologies (skin friction sensors, aeroacoustic sensors). High altitude atmospheric sensing and acoustics for planetary science. Acoustics, vibrations, dynamics and controls. Electromechanical systems including robotics. Finite element methods and system modeling. Electronics for measurement. Mechanical measurements.