Our team has an immediate 12-month contract opening for a Researcher.
Responsibilities:
Working closely with a team of experienced researchers to solve real world challenges in the domain of Embodied AI.
Developing state-of-the-art approaches for Embodied AI applications. Directions include, but not limited to, generative AI, representation learning, foundation models, reasoning, planning, data generation and augmentation, reinforcement learning, and low-level control.
Translating mathematical problem definitions and model/solution specifications into efficient executable code.
Conducting evaluation and empirical studies using robotic platforms in both simulation and real-world.
Proposing high-impact intellectual properties (e.g., patents), and publishing or contributing to research papers in top-tier AI venues.
Requirements
What you'll bring to the team:
M.Sc./ PhD degree in computer science or related fields (Exceptional candidates with Bachelor degree will be considered)
Prior experience with generative AI, in particular diffusion models, normalizing flows, or generative flow networks
Proven research record in AI by having at least one paper as the first author in top tier machine learning venues, such as NeurIPS, ICML, ICLR
Proficiency in Python programming language with emphasis on clean coding and building experimental settings
Experience with one or more mainstream deep learning frameworks e.g. PyTorch, TensorFlow
Experience in robotic platforms for tasks, such as object manipulation and navigation tasks is an asset
Experience with large-language models and vision-language models is an asset
Experience with use of various transformer architectures and diffusion models
