As semiconductor scaling enters the
Angstrom era, power density increases exponentially while thermal dissipation becomes increasingly constrained—particularly in
3D integrated systems leveraging chiplet-based or vertically stacked designs. Emerging paradigms such as
CMOS 2.0 and
heterogeneous integration (e.g., separate tiers for logic, SRAM, PDN, and I/O) offer significant performance-per-Watt benefits, but exacerbate
thermal bottlenecks across die-die and die-package interfaces.
While traditional EDA thermal tools provide first-order estimates, they fail to capture the fine-grained spatial and transient behaviors critical at these advanced nodes. Furthermore, the complex performance-power-area-temperature (PPAT) trade-offs introduced by thermal mitigation strategies (e.g., thermal vias, liquid cooling, advanced materials) are poorly understood from a cross-technology co-optimization (DTCO/STCO) perspective.
Objective:
This PhD aims to
quantify, model, and mitigate thermal bottlenecks in Angstrom-node 3D-ICs using a cross-layer, multi-physics approach. The specific objectives include but not limited:
Thermal Hotspot Characterization: Use imec’s
Angstrom-node PDKs and
realistic workloads to extract
localized power maps, and analyze the
spatio-temporal evolution of thermal hotspots. Focus on transient thermal behavior and dynamic interactions between stacked tiers.
Multi-Scale Thermal Modeling: Extend imec’s internal physical design and simulation framework to support hierarchical thermal modeling: from die-level layouts to package cross-section. Explore multi-resolution meshing, transient simulation speedups, and runtime-accuracy trade-offs.
Thermal Mitigation & Design Exploration: Evaluate
thermal-aware floorplanning,
thermal through-silicon vias (T-TSVs),
high-conductivity interposers, and
cooling cavity fills (e.g., diamond, mold, microchannels). Quantify their
PPAT impact via comparative case studies.
Co-Optimization Methodology: Develop a holistic system-technology co-optimization (STCO) flow that integrates thermal constraints early in architecture and packaging design. Propose reusable EDA-friendly optimization techniques for early design closure.
Environment:
You will work in imec’s interdisciplinary environment, collaborating across
thermal modeling,
PDK development,
system architects, and
EDA tool vendors. The position is embedded in imec’s
DTCO and STCO programs.Candidate Profile:
Master’s degree in
Electrical Engineering,
Computer Engineering,
Applied Physics,
Microelectronics, or similar.
Solid knowledge of
physical design,
computer architecture, microelectronics, thermal simulation, and/or
system-level modeling.
Experience with EDA tools such as Cadence, Comsol, ANSYS, or similar is a plus.
Interest in
cross-layer co-optimization,
multi-physics analysis, and practical tool development.