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.
Research
Be the first to reap the benefits of imec’s research by joining one of our programs or starting an exclusive bilateral collaboration.
Development
Build on our expertise for the design, prototyping and low-volume manufacturing of your innovative nanotech components and products.
Solutions
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/Fruit firmness evaluation using ultrasound

Fruit firmness evaluation using ultrasound

PhD - Leuven | More than two weeks ago

Develop the new generation of fruit sensor

Introduction
Food quality is one of the main concerns in the current consumer-oriented industry. After harvesting, fruits are tested to evaluate sugar content, acid content, and firmness. Different types of sensors are currently developed to measure their internal quality using nuclear magnetic resonance, optics as well as acoustics. It has been demonstrated that ultrasounds could provide the deep inside measurement of the fruit without any damage.

Since decades, imec is leading the development of novel MEMS technologies such piezoelectric and capacitive MEMS ultrasound transducers based on CMOS-compatible Silicon technology. Due to the increasing interest in producing large arrays of such sensors, imec recently developed innovative polymer ultrasound transducers using the Large Area Electronics (LAE) thin-film technology platform which allows to produce passive and active components in thin-film frameworks with world-leading performance and in flexible form factors.

Topic
The purpose of this PhD is to design an ultrasound array to measure the firmness of fruit. Preliminary test will be performed with off-the-shelf transducers or available imec pmut array to determine the needed specifications to image the fruit contact and non-contact measurement. Based on this study, a design and fabrication of a Pmut array will be done using imec Pmut technologies. Finally, tests will be performed on different types of fruits. The PhD researcher will conduct the research over the entire cycle in the imec laboratories: 1) design and numerical modelling of pMUT array; 2) collaboration with the process team; 3) acoustical and mechanical characterization; 4) realization and characterization of the Pmut array. A collaboration with OnePlanet is foreseen in order to compare this methodology with other fruit evaluation method.

The candidate

You are a highly motivated student, with background in nano-engineering, physics, material science, electrical engineering, or related. You have an interest in the designing ultrasound transducer and in characterization of acoustical performance of developed devices. It is expected that you will present results regularly. You are a team player and have good communication skills as you will work in a multidisciplinary and multicultural team spanning several imec departments. Given the international character of imec, an excellent knowledge of English is a must.


Required background: nano-engineering, physics, materials science or electrical engineering with strong affinity for device physics

Type of work: 15% literature study, 30% modeling, 20% design, 35% characterization

Supervisor: Chris Van Hoof

Co-supervisor: Xavier Rottenberg

Daily advisor: Veronique Rochus

The reference code for this position is 2021-109. Mention this reference code on your application form.

This website uses cookies for analytics purposes only without any commercial intent. Find out more here. Our privacy statement can be found here. Some content (videos, iframes, forms,...) on this website will only appear when you have accepted the cookies.