Research Fellow/Scientist in Optimized Embodied AI (EAI)

Research Fellow/Scientist in Optimized Embodied AI

Job offer posted on 25 May 2026

The project Embodied AI for Human-Robot Collaborative Task Execution is looking for a Research Fellow/Scientist in Embodied Artificial Intelligence (EAI) – Enhancing robotic foundation models for human-robot collaborative task execution. The overall goal of this project is to investigate how robotic platforms can combine the capabilities of robotic foundation models (VLAs/VLMs) in generalized reasoning and policy formulation with RL-based approaches for trajectory and manipulation generation, and optimize the training and inference pipelines of such AI systems to provide fast and anticipatory assistance to humans while co-executing a task.

DESCRIPTION OF THE JOB POSITION

You will be part of our team developing fundamental capabilities that combine recent advances in robotic foundation models with traditional control-based approaches for human-robot collaborative task execution for various industrial tasks.

· Development of novel AI models/architectures and suitable ML techniques that enable efficient robotic perception and planning, to support optimized model execution on embedded robotic platforms and edge devices.

· Design of accelerated training strategies for multi-modal robotic AI models, including Robotic Foundation Models (RFMs) and VLAs, to support both data-and-compute efficient generalization of robot policies.

· Development, implementation and testing of new robotic perception, planning and manipulation frameworks that support joint human-robot object manipulation under uncertainty.

· Lead a small team of researchers and engineers in system integration and implementation of robotic modules on resource-constrained devices (E.g. Jetson family of devices) for real-world demonstrations of robotics applications.

· Lead and participate in relevant R&D activities, including data collection experiments, software development, testing, and deployment of intelligent systems and authoring of high-quality research publications.

EXPERIENCE & QUALIFICATIONS

– Ph.D. Degree in a relevant field of Engineering (Computer Science, Electrical, Electronics, Robotics etc.).

– Minimum 3 years of research experience in one or more of the following areas: Reinforcement Learning based techniques for AI model fine-tuning; Optimization of AI models for execution on resource-constrained devices; 2D/3D Vision Understanding.

– Experience with hardware platforms such as Jetson, ESP32, commercially available robots and drones etc.; Experience in system administration and maintenance of computer servers and systems involving multiple high-end GPUs.

– Strong record of research publications in top-tier academic venues, including AI venues such as NeurIPS/ICLR and robotics venues such as IROS/ICRA.

–Experience with multi-modal sensing and processing pipelines/techniques, including RGB and LIDAR sensing, SLAM techniques and object/action recognition.

FURTHERINFORMATION & CONTACT

Gross Monthly Salary Range (SGD): 6,900 to 10,000 (depending on suitability and experience).

Duration of the contract: 1 year contract

Workplace address: CREATECampus, CREATE Tower, 1 Create Way #08-01 Singapore 138602.

Interested applicants, please send your full CV, with the names and contacts(including email addresses) of two-character referees to:

– Archan MISRA ***email_hidden***

– Vigneshwaran Subbaraju [email protected]