Research Scientist Computational Imaging Graduate (Pico) - 2027 Start (PhD) - Graduate (PICO Lab) - 2027 Start (PhD)

What you'll do

• Develop multimodal AI, computer vision, and computational imaging algorithms, including model post-training and reinforcement learning.
• Build context-aware models and use generative models, computer graphics, and simulation to create synthetic environments and address imaging challenges.
• Prototype and evaluate approaches through experimentation, automated evaluation, and real-world hardware testing.

What they ask for

• Completing or recently completed a PhD in Computer Science, Electrical or Computer Engineering, Imaging Science, Optical Engineering, Color Science, or a related field.
• Strong background in at least one of multimodal learning, computer vision, computational imaging, generative modeling, or computer graphics.
• Hands-on experience developing and training deep learning models using PyTorch or similar frameworks.
• Strong programming skills in Python and familiarity with C/C++; ability to independently explore research directions, design experiments, and build prototypes.

Nice to have

• Experience with multimodal foundation model post-training, reinforcement learning, reward modeling, visual reasoning, agentic tool use, or context-conditioned multimodal models.
• Experience in generative modeling, computer graphics, neural rendering, simulation-based synthetic data, real-world imaging applications, or camera systems; relevant conference publications are a plus.

Tools

PyTorch, Python, C/C++

AI focus

Research and develop multimodal foundation models, post-training and reinforcement learning, context-aware modeling, generative AI, computer graphics, and synthetic-data simulation for vision and imaging.