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Physically Interpretable Power, Capacitance, and Power-Density Modeling GPU Architectures

Job in Doha, Baladīyat ad Dawḩah, Qatar
Listing for: Imec
Full Time position
Listed on 2026-10-27
Job specializations:
  • Engineering
    Electrical Engineering, AI Engineer (Applied/Software), Systems Engineer
Salary/Wage Range or Industry Benchmark: 78000 QAR Yearly QAR 78000.00 YEAR
Job Description & How to Apply Below
Position: Physically Interpretable Power, Capacitance, and Power-Density Modeling for Future GPU Architectures

/ Physically Interpretable Power, Capacitance, and Power-Density Modeling for Future GPU Architectures

Physically Interpretable Power, Capacitance, and Power-Density Modeling for Future GPU Architectures

Technology-Aware GPU Power Models for Future Process Nodes

Type of internship
:
Master internship, PhD internship

Duration
: 4-6 months

Required educational background
:
Computer Science, Electrotechnics/Electrical Engineering

The reference code for this position is 2026-INT-303
. Mention this reference code in your application.

Imec allowance will be provided for students studying at a non-Belgian university.

Modern GPU power models can accurately predict total power consumption, but they often provide limited insight into the underlying physical mechanisms responsible for power dissipation. This internship aims to bridge the gap between performance-counter-based power estimation and physically meaningful architecture characterization. The student will investigate how workload activity, voltage-frequency operating points, and architectural resources contribute to power consumption, and will develop methodologies to separate activity factors from technology-dependent parameters such as effective capacitance.

The work will include feature analysis, DVFS-aware modeling, validation using architectural or RTL-level information, and the development of block-level power and power-density models. The ultimate goal is to establish a framework that not only predicts power accurately, but also supports technology-scaling studies, thermal analysis, power-density estimation, and future architecture exploration.

Type of internship
:
Master internship, PhD internship

Duration
: 4-6 months

Required educational background
:
Computer Science, Electrotechnics/Electrical Engineering

Supervising scientist(s):
For further information or for application, please contact Katayoon Basharkhah (  )

The reference code for this position is 2026-INT-303
. Mention this reference code in your application.

Imec allowance will be provided for students studying at a non-Belgian university.

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