Fast Power-Map Analytics for HBM-GPU Thermal Design

Imec; Vlaams-Brabant; On-site; EUR 15,000 - 20,000; Full time

Job summary

Imec offers a Master internship, PhD internship in Leuven focusing on early-stage thermal screening for advanced HBM–GPU integration. The project develops a portable methodology and toolchain that translates power dissipation into actionable guidance for design-space exploration, with emphasis on robust descriptors and a scoring workflow.

The role involves building an end-to-end Python-based pipeline, validating against reference cases, and delivering a documented, reusable toolchain for

Qualifications

• MSc or early PhD student in Electrical/Computer Engineering
• Strong hands-on programming skills; Python required
• Solid understanding of computer architecture and workload behavior
• Interest in thermal/power topics and advanced packaging is a plus

Responsibilities

• Build a reproducible pipeline to ingest, normalize, re-bin, and analyze workload-derived power maps; support multiple map formats and resolutions.
• Define and implement multi-scale spatial descriptors capturing power concentration, heterogeneity, clustering behavior, and structural regularities.
• Create synthetic power-map variants consistent with computer-architecture realities to stress-test methodology.
• Propose a scoring framework that can rank candidate integration solutions using power-map fingerprints and metadata.

Skills

Python

NumPy

Pandas

SciPy

scikit-learn

Education

Electrotechnics/Electrical Engineering

Computer Science

Job description

Imec offers a Master internship, PhD internship in Leuven focusing on early-stage thermal screening for advanced HBM–GPU integration. The project develops a portable methodology and toolchain that translates power dissipation into actionable guidance for design-space exploration, with emphasis on robust descriptors and a scoring workflow.

The role involves building an end-to-end Python-based pipeline, validating against reference cases, and delivering a documented, reusable toolchain for