The Ph.D. in Mechanical Engineering at Tufts University is a research-focused doctoral program for students who want to conduct independent, innovative research in mechanical engineering and related interdisciplinary fields. Students work with faculty advisors and thesis committees to develop advanced technical expertise, complete qualifying exams, conduct original research, and defend a doctoral thesis.
Offered through the Department of Mechanical Engineering, the program is available on campus in Medford/Somerville. Full-time and part-time study options are available, and the average duration is 3–5 years.
This program is designed for students with a strong academic background in mechanical engineering or a related technical discipline who want to pursue advanced research. The Ph.D. may be a strong fit for students interested in robotics, autonomous systems, aerospace, thermal-fluid systems, materials, micro- and nanoscale systems, sustainable energy, mechanical design, controls, HRI, engineering education, or medical device research.
Students should be prepared for a rigorous doctoral experience that includes advanced study, faculty mentorship, qualifying exams, independent research, thesis committee review, and public thesis defense.
Doctoral study in mechanical engineering combines advanced coursework, faculty-guided research, qualifying exams, and thesis preparation. Students are assigned a faculty advisor upon matriculation and work toward selecting a thesis advisor by the end of the second term of full-time study.
Research areas include:
The Department of Mechanical Engineering at Tufts University supports graduate education and research across core and emerging areas of mechanical engineering, including robotics, materials, energy, thermal-fluid systems, design, manufacturing, human factors, and engineering education.
Faculty research connects fundamental engineering science with applications in autonomous systems, transportation safety, soft matter, microfluidics, thermal management, biomimetic and robotic systems, additive manufacturing, biomedical technologies, controls, acoustics, vibrations, and learning sciences.
The Ph.D. is designed to establish a student’s ability to conduct independent, innovative research. Students build advanced technical knowledge through faculty-guided investigation, qualifying exams, thesis committee feedback, and public defense of original research.
Close interaction between doctoral students and faculty is a central part of the program. Students are assigned an advisor when they enter the program, select a thesis advisor as they develop their research direction, and receive guidance from a thesis committee.
Mechanical engineering research at Tufts connects mechanics, materials, robotics, controls, energy, manufacturing, human factors, biomedical applications, and engineering education. This breadth helps students pursue research questions that cross traditional technical boundaries.
Tufts’ Medford/Somerville campus is located near the technology, robotics, healthcare, aerospace, clean energy, research, and startup communities of Greater Boston and Cambridge. This setting can support professional connections, research exposure, and access to a broader engineering innovation ecosystem.
A Ph.D. in Mechanical Engineering can support advanced research, teaching, technical leadership, and innovation-focused career paths. Graduates may pursue opportunities in academia, industry, government laboratories, research organizations, technology companies, startups, or interdisciplinary engineering settings.
Potential paths may include:
The U.S. Bureau of Labor Statistics reports that employment for mechanical engineers is projected to grow 9% from 2024 to 2034, much faster than the average for all occupations. The median annual wage for mechanical engineers was $102,320 in May 2024.
Applicants should have a strong academic background in mechanical engineering or a related technical discipline.
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: navigation, safety-critical transportation systems, state estimation, human-robot interaction
Research/Areas of Interest: sustainable energy, superconducting materials, materials science
Research/Areas of Interest: Ryan's research lies at the intersection of control theory, machine learning, and robotics, with the goal of enabling provably safe and dynamic robot autonomy in uncertain real-world settings. His work bridges theory and practice through the development of risk-aware control frameworks, efficient deployable algorithms, and validation on a wide range of robot platforms. His ultimate goal is to create safety methods that inspire trust and provide us with the confidence needed to deploy high-performance autonomous robots at scale. **Recruiting new PhD students for admission in Fall 2026.**
Research/Areas of Interest: biophysics and soft matter, microscale fluid mechanics and transport phenomena, microfluidic devices
Research/Areas of Interest: Engineering education; Diversity, equity, and inclusion; team-based engineering pedagogies; engineering design thinking
Research/Areas of Interest: Transport Phenomena in the context of superhydrophobic surfaces, nano-material manufacture, thermal management of electronics, energy harvesting, mass transfer in supercritical fluids and thermoelectricity.
Research/Areas of Interest: Mechanics of materials; effective properties of heterogeneous materials; microstructure-property relationships; applications to material science
Research/Areas of Interest: Hungtang Ko's research focuses on the collective organization of biological collectives and robot swarms in fluid environments. He conducts animal experiments, simulates agent-based models, and designs biomimetic robots to investigate the physical interaction among insect swarms and fish schools. Beyond his core research, his diverse research interests extend to traffic flow, animal biomechanics, and the physics of wok tossing. **Recruiting new PhD students for admission in Fall 2026**
Research/Areas of Interest: Pushing towards his vision of rapidly designing robots and materializing them at points of impact, Prof. Nemitz's research interests encompass 3D-printable robots, real-time adaptive additive manufacturing, and automated discovery processes for robotic materials.
Research/Areas of Interest: Engineering Education, Human Robot Interaction, Mechanical Engineering, Music Engineering, Artificial Intelligence and Image Processing
Research/Areas of Interest: Present: Engineering for Health -> Physics of cancer and aging -> Mechanics of biomaterials at the nanoscale, Synthesis and study of functional nanomaterials for biomedical imaging and drug delivery, Advanced imaging for medical diagnostics, Novel processes and materials for dentistry: nano-polishing and self-healing materials. Favorite experimental techniques: atomic force microscopy/scanning probe microscopy, confocal microscopy and spectroscopy, nanoindenters. Favorite theoretical methods: contact models, machine learning methods. Past: quantum field theory, theory of gravity, cosmology, Casimir effect.
Research/Areas of Interest: learning sciences, engineering education, design practices, classroom discourse, engineering knowledge construction
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.