Research Intern - Diagnostic Imaging AI, Imaging Computing, Reconstruction and Inverse Problem

Microsoft

Closes in 3 days

Quick summary

Work type: On-site
Location: Redmond, WA
Employment: Intern
Posted: 176 days ago
Closes: Jun 7, 2026 (soon)
Nearby: 99+ roles within 25 mi

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Similar $191k

$139k most similar roles pay here $234k

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About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 571 open roles on FindRole.

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At a glance

TL;DR · Research Intern - Diagnostic Imaging AI, Imaging Computing, Reconstruction and Inverse Problem

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As a Research Intern on our cutting-edge imaging team, you will delve into the development of novel imaging models and training methods, focusing on image reconstruction algorithms to address inverse problems. Your daily tasks include evaluating model performance, analyzing uncertainty and artifacts, and deploying imaging applications. Ideal candidates are currently enrolled in a PhD program with at least two years of experience in deep learning for imaging. You should have published work in peer-reviewed journals or conferences within the imaging and AI fields. Proficiency in PyTorch and multi-GPU training is essential as you contribute to solving complex business problems in large-scale imaging applications.

Skills

PyTorch Python Deep Learning Image Reconstruction Algorithms Model Evaluation Uncertainty Analysis Imaging Artifacts Hallucination Analysis Multi-GPU Training CI/CD

What you'll do

Conduct research on new imaging model architectures and training methods.
Develop image reconstruction algorithms to solve inverse problems.
Analyze model evaluation, uncertainty, artifacts, and hallucination issues.
Implement and deploy imaging applications in real-world scenarios.
Publish findings in peer-reviewed journals or international conferences.
Utilize Pytorch for model development and multi-GPU training.

What we're looking for

Conducts research on new imaging models, architectures, and training methods.
Develops image reconstruction algorithms to solve inverse problems and analyzes artifacts.
Evaluates deep learning models for uncertainty and hallucination issues.
Engaged in PhD program with at least 2 years of relevant research experience.
Published work in peer-reviewed journals or conferences related to imaging and AI.
Proficient in Pytorch and multi-GPU training environments.

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