Internship - WSI/IO Inference Optimization

Barco; West-Vlaanderen; On-site; EUR 6,700 - 10,000; Part time

Job summary

Barco Labs is offering an internship focused on optimizing AI applications in digital pathology. You will collaborate with experts to enhance performance and scalability of medical imaging solutions.

The role involves investigating efficient processing of large whole slide images, analyzing bottlenecks, and exploring data transfer optimizations between storage and GPU memory, contributing to real-world healthcare applications.

Qualifications

• Bachelor or Master student in Computer Science, Software Engineering, AI, or related field.

Responsibilities

• Investigate efficient processing of large Whole Slide Images for AI inference.
• Analyze existing workflows and identify performance bottlenecks.
• Explore techniques to accelerate data transfer between storage and GPU memory.
• Collaborate with software and AI engineers on real-world healthcare applications.
• Contribute to performance and scalability improvements in digital pathology.

Skills

Analytical skills

Problem-solving skills

Education

Bachelor or Master student in Computer Science, Software Engineering, AI, or related field

Tools

GPU AI frameworks

Profiling tools

Job description

Internship - WSI/IO Inference Optimization

Bachelor or Master student in relevant field

Education

Bachelor or Master student in Computer Science, Software Engineering, AI, or related field.

Required Skills

Nice to have

• GPU AI frameworks
• Profiling tools

Soft Skills

• Analytical skills
• Problem-solving skills

About

The Position

As an intern at Barco Labs, you'll work on optimizing AI applications in digital pathology. Collaborate with experts to enhance performance and scalability of medical imaging solutions.

The Company

Barco is a global tech company creating AV solutions to help professionals succeed. Our mission is to visualize and connect the world, impacting healthcare, enterprise, and entertainment. We value innovation, diversity, and creativity.

Your Responsibilities

• Investigate efficient processing of large Whole Slide Images for AI inference.
• Analyze existing workflows and identify performance bottlenecks.
• Explore techniques to accelerate data transfer between storage and GPU memory.
• Collaborate with software and AI engineers on real-world healthcare applications.
• Contribute to performance and scalability improvements in digital pathology.

Why Join Us?

• Hands-on experience with modern AI infrastructure
• Work with large-scale medical imaging data
• Collaborate with experts in digital pathology

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