PhD - Leuven | Just now
Die-to-wafer hybrid bonding is a 3-D vertical integration technique used to build advanced computer chips. Imagine you are carefully placing a tiny tile (the die) onto a large floor (the wafer). Both the tile and the floor have special layers and tiny copper pads that help them stick together and work as one. When making the chip, the small die is brought close to the wafer, and a gentle pressure is applied to start the sticking process. This creates an initial spot of contact, like the first drop of glue holding two pieces together. From there, the bond spreads outwards in a wave, connecting the rest of the surfaces (bond-wave propagation). This method allows manufacturers to choose the best tiny chips and put them together on a bigger surface, making it easier to design powerful and reliable electronics. It’s a bit like assembling a puzzle where each piece can be made perfectly before being joined to complete the picture.
However, the die-to-wafer bonding process presents significant scientific and engineering challenges. Mechanical stresses and bonding dynamics can result in bonding distortions, die stretching, and overlay errors—misalignments that may degrade electrical performance or cause device failures. As device features shrink and dies or wafers become thinner, these effects intensify, making it essential to understand and predict die-to-wafer bonding mechanics to ensure precise alignment and reliability of 3D stacks.
A key challenge in this process is the large number of parameters that impacts distortions, such as: wafer & die properties, process dynamics and tool design. Given the complexity and cost of experimental optimization, simulation-based methods are essential for effective process development.
The purpose of this PhD topic is to deepen the understanding on both the physics of bond-wave propagation and the impact of mechanical boundary conditions on bonding distortions using modeling and simulation techniques. To achieve this, the PhD student will:
This position is best suited for candidates from an engineering background with a keen interest in physics-based mechanical modeling and an affinity for cross-team collaborations.
Reading:
Required background: M.Sc in Mechanical Engineering, Materials Science and Engineering, Physics or equivalent
Type of work: 70% modeling/simulation, 20% data analysis, 10% literature
Supervisor: Houman Zahedmanesh
Daily advisor: Oguzhan Orkut Okudur
The reference code for this position is 2026-159. Mention this reference code on your application form.