Master Thesis: Multiphysics Optimization of Vapor Chambers

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About this opportunity:



The rapid growth of power-dense electronics has driven the demand for advanced cooling technologies capable of handling extremely high heat fluxes. Vapor chambers have emerged as a promising solution due to their ability to spread heat efficiently through phase-change mechanisms and capillary-driven fluid circulation. While previous studies have largely focused on optimizing wick structures and liquid-vapor transport, the overall performance and reliability of a vapor chamber are also strongly influenced by its structural design. Geometrical design choices can significantly affect thermal performance, fluid transport characteristics, mechanical robustness, and manufacturing feasibility.

This thesis project aims to develop and extend a multiphysics optimization framework for high heat flux vapor chambers by combining thermo-hydraulic and structural considerations within a unified design methodology. The study will investigate how design parameters influence heat transfer, fluid transport, and mechanical integrity, with the goal of identifying vapor chamber configurations that simultaneously maximize thermal performance, structural reliability, and manufacturability.

What you will do:

• Conduct a litterature review on vapor chamber technologies, multiphase transport, structural integrity, and optimization methods.
• Investigate the relationship between heat transfer, fluid transport, and mechanical behavior under realistic operating conditions.
• Develop or extend computational models for thermal, fluid-dynamic, and structural performance.
• Perform sensitivity and parametric analyses of design parameters, including thermal efficiency, capillary limitations, pressure losses, and structural integrity.
• Implement a multiphysics optimization framework combining thermo-hydraulic performance with mechanical robustness.
• Evaluate design trade-offs and recommend optimized vapor chamber configurations.

The skills you bring:

• You are pursuing a Master's degree in Mechanical Engineering, Engineering Physics, Energy Technology, Applied Physics, or a related field.
• Previous experience with Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA), and numerical modeling is required.
• You have a solid understanding of heat transfer, fluid mechanics, and phase-change phenomena.
• Knowledge of structural mechanics, optimization methods, design engineering, programming, or scientific computing is an advantage.
• You are analytical, systematic, and able to work independently on a complex modeling problem.
• You can communicate technical findings clearly and draw practical conclusions from simulation results.

Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: Sweden (SE) || Stockholm

Req ID: 787559