Full-Time
Postdoctoral Research Associate
Robots and Agents
Posted on 8/18/2026
Deadline 8/26/26
Texas A&M University System
Texas public university system
No salary listed
Corpus Christi, TX, USA
Remote
PhD
Category
 AI & Machine Learning (2) |
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Required Skills
Python
Machine Learning
C/C++
Robotics
Data Analysis
Reinforcement Learning
Requirements
- A doctoral degree in Robotics, Electrical Engineering, Computer Science, or a closely related field is required.
- Demonstrated expertise in autonomous robotic systems and multi-agent robotics is required.
- Hands-on experience with multi-robot platforms, including unmanned ground vehicles, unmanned aerial vehicles, or similar autonomous systems, is required.
- Experience integrating and using robotic sensors, including LiDAR, cameras, inertial sensors, and camera tracking systems, is required.
- Strong programming skills in C++ and/or Python, with experience developing software using Robot Operating System or Robot Operating System 2, are required.
- Experience deploying and testing algorithms on physical robotic platforms is required.
- A strong mathematical background in robotics, optimization, estimation, control, artificial intelligence, algorithm development, machine learning, and reinforcement learning is required.
- Evidence of scholarly publications in robotics, autonomous systems, artificial intelligence, or related areas is required.
- The candidate must have strong written and verbal communication skills.
- The candidate must be able to work independently while contributing effectively within a multidisciplinary research team.
Responsibilities
- Conduct fundamental and applied research on autonomous multi-robot systems for exploration and reconnaissance, emphasizing coordinated ground and aerial robotic platforms.
- Develop algorithms for multi-agent coordination, autonomous navigation, distributed control, formation control, perception, and decision-making in complex environments.
- Develop and apply data-driven approaches, including machine learning, reinforcement learning, surrogate models, and optimization techniques, to improve robotic autonomy and mission performance.
- Develop and validate digital twin environments for simulation, testing, and evaluation of autonomous robotic systems and structures.
- Integrate and evaluate algorithms on robotic platforms using Robot Operating System and sensors such as LiDAR, cameras, and other perception systems.
- Conduct laboratory and field experiments, analyze experimental data, and validate system performance.
- Publish research findings in peer-reviewed journals and present results at national and international conferences.
- Participate in preparing grant proposals, technical reports, sponsor deliverables, and other research documentation.
- Coordinate daily laboratory operations, including experiment scheduling, equipment allocation, and laboratory logistics.
- Maintain and troubleshoot robotic platforms, sensors, computing resources, and laboratory software to ensure operational readiness.
- Ensure laboratory safety through regular inspections, equipment maintenance, compliance with university and sponsor safety protocols, and management of laboratory inventories.
- Support the planning and execution of robotic demonstrations, field testing, and outreach activities.
- Support undergraduate and graduate instruction through lecture and laboratory teaching, guest lectures, curriculum development, and integration of current research into academic courses.
- Mentor graduate and undergraduate students conducting robotics and autonomous systems research, providing guidance in algorithm development, software implementation, experimentation, and scientific communication.
- Assist students with research project development, preparation of technical publications, and professional development.
- Participate in departmental seminars, laboratory demonstrations, outreach events, and laboratory tours.
- Perform other duties as assigned.
Texas A&M University System is a statewide public university system combining higher education, research, and public-service agencies. The system coordinates universities and state agencies that deliver teaching, research, extension, engineering, health, and community programs. It serves students, faculty, researchers, public agencies, industries, and communities throughout Texas. Its operating model centers on autonomous member institutions connected through system governance, shared services, public funding, and statewide missions. Teams work across instruction, research, healthcare, extension, engineering, technology, administration, facilities, and public service. Teams support coordinated daily delivery.
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