Research Scientist Intern (PICO) Computational Photography Algorithms- 2026 Start (PhD)
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About this role
About Team
PICO’s Imaging Systems & Human Engineering team builds next-generation imaging and visual intelligence technologies to deliver premium visual experiences across PICO VR/MR/AR products—spanning camera capture, visual perception, and display rendering. Interns work closely with engineers and researchers to bridge research innovation and real-world product deployment.
We are looking for talented individuals to join us for an internship in 2026. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
PhD internships at Our Company provides students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
Responsibilities
- Research, prototype, and validate vision algorithms across computational photography, CV, and ML.
- Develop models for image enhancement/restoration (denoising, SR, deblurring, HDR) and perception (segmentation, detection, tracking, scene understanding).
- Conduct algorithm evaluation (IQA/perceptual analysis) and compare quality/performance across models.
- Explore on-device feasibility (efficiency, deployment, quantization) with mentorship.
- Communicate results through clear technical docs and presentations.
Qualifications
Minimum Qualifications
- Currently pursuing a PhD or Master’s in CS/EE/Imaging Science/Physics/Math or related.
- Able to commit to working for 12 weeks during Summer 2026
- Strong fundamentals in CV, image processing, and ML; hands-on model training experience.
- Proficiency with PyTorch or TensorFlow.
- Strong collaboration and communication skills in cross-functional/cross-cultural settings.
Preferred Qualifications
- Deep understanding of image quality metrics and human visual systems.
- Familiar with software and hardware architecture, software efficiency optimizations and tradeoffs.
- Proven track record of achieving significant results as demonstrated by first authored publications at accredited conferences such as CVPR/ECCV/ICCV/NeurIPS/ ICLR/SIGGRAPH or SIGGRAPH Asia, etc