Postdoctoral Fellow - Robotics Institute

Job Details

Carnegie Mellon University’s Robotics Institute is searching for a Postdoctoral Research Associate to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment.

We are seeking creative and energetic Postdoctoral Research Associate that will carry out advanced independent and/or directed research to achieve the objectives of the research project. This position will require an in depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content. The purpose of this role is to acquire the professional skills needed to pursue a career path of his or her choosing.

Responsibilities:

1. Aerial Robot Autonomy

• Single- and multi-robot decision-making and planning, including: Low-altitude flight using monocular vision.
• Perception-aware navigation in GPS-denied environments.
• Coordinating heterogeneous teams of aerial and ground robots.
• Perception-based multi-robot coordination and task allocation.
• Long-horizon and safety-aware planning under uncertainty.

2. Learning-Based Perception and Control

• Multi-modal and foundation-model-based approaches for robotics, including: Multi-modal mapping and semantic perception.
• Action policy learning and embodied intelligence.
• Learning foundation models for semantic, depth, and state estimation.
• Latent-space representations for decision-making and control of aerial robots, ground vehicles, quadrupeds, and humanoids.

Postdoctoral researchers are expected to:

• Lead research projects within one of the focus areas above.
• Publish in leading robotics, computer vision, and machine learning venues.
• Contribute to proposal development and sponsor reporting.
• Co-supervise graduate and undergraduate students.
• Present research results to academic, industrial, and government stakeholders.
• Participate in system integration and real-world field evaluations.

Requirements:

• Doctorate Degree
• Strong Analytical Skills
• Strong Oral and Written Communication Skills
• Strong Organizational and Planning Skills
• Strong Problem-Solving and Reasoning Skills