Publisher
source

Ryan K. Cosner

4 months ago

PhD Position in Robotics, Control, and Machine Learning at Tufts University SPARC Lab Tufts University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

United States

University

Tufts University

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Where to contact

Official Email

Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Control Theory
Safety
Robotics
Autonomous System
Autonomous Robotics
Machinelearning

About this position

The SPARC (Safe + Performant Autonomous Robotics & Control) Lab at Tufts University, led by Assistant Professor Ryan K. Cosner, is recruiting talented, passionate, and driven engineers for a fully funded PhD position in Robotics, Control, and Machine Learning. The lab focuses on developing safe and performant robot autonomy at the intersection of robotics, control theory, and machine learning. Research in the lab aims to create deployable, trustworthy autonomy algorithms that enable robots to work confidently alongside humans, with a strong emphasis on application-motivated theory and real-world deployment.

Potential research directions include aligning mathematical safety concepts with human preferences, developing methods to synthesize safety algorithms in novel environments, deriving safety guarantees using realistic uncertainty models, and studying the utility of combined first-principles and data-driven models to close the sim-to-real gap. The lab is equipped with state-of-the-art robotics hardware, including robots, sensors, computers, and simulation tools, to support experimental validation of theoretical work.

Applicants should have a background in Mechanical Engineering, Electrical Engineering, Computer Science, or a closely related field, with demonstrated interest and experience in robotics, machine learning, and/or control theory. Proficiency in programming (C++, Python, Matlab, Julia), experience with robotics hardware, and strong communication and teamwork skills are required. Preferred qualifications include experience with machine learning frameworks (PyTorch, TensorFlow), probabilistic robotics, hardware design, sensing and perception, embedded devices, and relevant software tools (ROS/ROS2, Linux, CVX, Git, Solidworks, Latex).

The position is fully funded for five years through Research or Teaching Assistantships, covering stipend and tuition. The start date is September 2026, with applications due by December 15, 2025. The lab encourages applicants from diverse backgrounds and offers a collaborative, supportive research environment. For more information, visit the SPARC Lab website or contact Professor Cosner directly.

To apply, submit your application to the Tufts University Department of Mechanical Engineering PhD program, mention Professor Cosner in your application, and email him after submission. If the application fee is a hardship, contact the Tufts Office of Graduate Admissions.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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