CMOS and beyond CMOS
Discover why imec is the premier R&D center for advanced logic & memory devices. anced logic & memory devices.
Connected health solutions
Explore the technologies that will power tomorrow’s wearable, implantable, ingestible and non-contact devices.
Life sciences
See how imec brings the power of chip technology to the world of healthcare.
Sensor solutions for IoT
Dive into innovative solutions for sensor networks, high speed networks and sensor technologies.
Artificial intelligence
Explore the possibilities and technologies of AI.
More expertises
Discover all our expertises.
Be the first to reap the benefits of imec’s research by joining one of our programs or starting an exclusive bilateral collaboration.
Build on our expertise for the design, prototyping and low-volume manufacturing of your innovative nanotech components and products.
Use one of imec’s mature technologies for groundbreaking applications across a multitude of industries such as healthcare, agriculture and Industry 4.0.
Venturing and startups
Kick-start your business. Launch or expand your tech company by drawing on the funds and knowhow of imec’s ecosystem of tailored venturing support.
/Job opportunities/Development of reliable Back-end-of-Line interconnects for high commutation speed power devices, with applications in LIDAR for self-driving vehicles

Development of reliable Back-end-of-Line interconnects for high commutation speed power devices, with applications in LIDAR for self-driving vehicles

PhD - Leuven | More than two weeks ago

BEOL reliability for high commutation speed power devices

Wide bandgap materials allow the development of an exciting new semi-conductor technology which promises a revolution in the distribution and control of electrical power, enabling the control of high power while at the same time wasting less energy. However, the potential for this technology goes beyond mere power control and at IMEC we are developing a new class of power switches which have very high commutation speed. These switches are ideally suited for demanding applications such as LIDAR, which is an imaging technology used to enable self-driving vehicles.  The novel power switches, will enable a breakthrough in LIDAR system design, enabling a much higher resolution imaging compared to what is currently possible with a comparable silicon component. 
Your goals as a PhD. student is to help develop a reliable back-end technology and bring it to a level of maturity such that the power components can be used reliably in these novel applications. High power, fast commutating devices require a very particular cross-bar architecture for interconnecting and routing the power through the different levels of the components. Moreover the interconnect levels are used to distribute the electrical fields near the gate. You will study the impact of high currents on the degradation of the metal layers over time and the impact of high electrical fields on the degradation of the dielectrics over time. You will evaluate the validity of existing degradation models for the specific materials and structures and adapt these models where needed through modelling, accelerated testing and material investigation. This will be in strong interaction with the BEOL process integration engineer, such that the technology can be developed, with you as a PhD. student making suggestions for experiments and improvements in the technology.

Typical techniques and tools which the candidate will need to apply during the course of the PhD. will be electromigration measurements, ramped voltage stresses and time dependent dielectric breakdown in different environments at high temperatures, during thermal cycles, in higher humidity,... Proficiency in scripting, needed for automatic data collection and analysis, is a strong plus for a successful candidate. 

Required background: Material Science, Physics or Electrical Engineering

Type of work: Literature (10%). Modeling (20%), Technology (10%), Experimental (60%)

Supervisor: Ingrid De Wolf

Daily advisor: O. Varela Pedreira, Dr. K. Croes, Dr. M. Borga 

The reference code for this position is 2021-072. Mention this reference code on your application form.