Postdoctoral Researcher – Post-Training and Continual Adaptation for Robotics

Tri-global Solutions Group Inc.

. Develop methods for post-training and adapting pretrained robot policies, taking a focused research question from initial formulation through experimental validation .

Posted 10/15/2026full-timeCambridge • Massachusetts • United StatesMid-LevelSenior💰 $136,800 - $196,650 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and validating robot policies through rigorous experimentation and collaboration. Proficient in reinforcement learning, deep learning frameworks, and robotic systems to enhance task performance and adaptability.

Highest-signal resume keywords

Ph.D. In RoboticsReinforcement LearningDeep Learning FrameworksRobotic SystemsScientific Research Planning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Reinforcement LearningImitation LearningExperimental DesignPolicy ImprovementBehavioral Adaptation

Soft Skills

CollaborationCommunication

Tools & Technologies

PyTorchJAX

Industry Keywords

Robot Foundation ModelsOnline AdaptationHuman FeedbackContinual Learning

Tech Stack

Tools & technologies

PyTorch

About the role

Key responsibilities & impact

Develop methods for post-training and adapting pretrained robot policies, taking a focused research question from initial formulation through experimental validation
Design rigorous experiments to evaluate policy improvement, behavioral adaptation, robustness, and retention of existing capabilities relative to robot experience and human effort
Collaborate with the research team and communicate findings through publications in leading robotics and machine learning venues
Develop new methods and validate them through experiments in simulation and on real robots
Advance post-training and adaptation for generative robot policies to improve task performance, adapt to human preferences, and acquire new behaviors from limited experience while preserving existing capabilities

Requirements

What you’ll need

Ph.D. in robotics, machine learning, computer science, or a related field, completed by the start of the appointment
Strong research background in reinforcement learning, imitation learning, or related robot-learning methods, demonstrated through relevant publications
Strong programming and experimental skills
Experience with deep learning frameworks such as PyTorch or JAX
Experience with robotic systems
Ability to develop and carry out a scientific research plan in collaboration with other researchers
Experience with robot foundation models, online adaptation, human feedback, or continual learning is especially relevant

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
401(k) eligibility
Paid time off, including vacation, sick time, and parental leave
Annual cash bonus structure