Can you design the "voice" of the next generation of Smart Glasses? We are looking for a brilliant IC designer to push the boundaries of Class-D audio technology. Join us!
Job description
This project is an industry collaboration project.
As the demand for "always-on" wearable devices like Smart Glasses and Hearables grows, the audio system-on-chip (SoC) faces a critical paradox: how to deliver high-fidelity sound (high linearity) while operating on a microscopic power budget.
This PhD project focuses on the research and development of Advanced Class-D Audio Amplifier architectures. Your goal will be to innovate beyond standard PWM techniques, exploring novel feedback loops, multi-level switching, or hybrid mixed-signal topologies to achieve unprecedented efficiency.
Key Research Objectives:
- Efficiency Maximization: Reducing quiescent current and switching losses to extend the battery life of portable devices.
- THD+N Optimization: Developing innovative linearization techniques to maintain high-fidelity audio in compact, low-voltage environments.
- Silicon Realization: You will go through the full IC design cycle, from architectural modeling (MATLAB/Simulink) to transistor-level design (Cadence/Mentor) and final silicon measurement.
Why Join Us?
- Impact: Your work will directly influence the hardware architecture of future consumer electronics.
- Expertise: Work alongside a world-class team with extensive experience in mixed-signal IC design and audio systems.
- Facilities: Access to state-of-the-art cleanrooms, high-end measurement equipment (Audio Precision, high-speed oscilloscopes), and advanced CMOS process nodes.
Job requirements
We are seeking a highly motivated candidate with a "silicon-first" mindset. To be successful in this role, you must possess:
- Solid Foundation in Analog IC Design: Deep understanding of MOSFET physics, amplifiers, voltage references, and frequency compensation.
- Mixed-Signal Design Experience: Proven experience in designing blocks such as ADCs/DACs, comparators, or oscillators. Familiarity with the interaction between digital control logic and analog power stages.
- System Modeling Skills: Proficiency in MATLAB/Simulink or Verilog-A for top-level architectural verification.
- Hands-on EDA Experience: Expert-level proficiency in Cadence Virtuoso (Spectre/APS), Mentor Graphics, or similar industry-standard toolsets.
- Academic Excellence: A Master’s degree (or equivalent) in Electrical Engineering or Microelectronics with a focus on Integrated Circuits.
- Preferred but not mandatory: Prior experience in Class-D amplifiers, Power Management ICs (PMIC), or successful tape-out experience in CMOS technologies (e.g., 180nm, or 65nm).
TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.
At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.
Challenge. Change. Impact!
Faculty of Electrical Engineering, Mathematics and Computer Science
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.
Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.
Conditions of employment
Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from €3059 - €3881 gross per month, from the first year to the fourth year based on a fulltime contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.
The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.
Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service, offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands.
Additional information
If you would like more information about this vacancy or the selection procedure, please contact Qinwen Fan, via Q.Fan@tudelft.nl.
Application procedure
Are you interested in this vacancy? Please apply no later than 15 June 2026 via the application button and upload the following documents:
- Your CV and cover letter.
- Please highlight your IC design experience, including tape out if applicable.
- Please highlight your publication list.
- Please include a <5 slides PPT, showcasing one of your previous work.
You can address your application to Qinwen Fan.
Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.
Please note:
- You can apply online. We will not process applications sent by email and/or post.
- As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about knowledge security.
- Please do not contact us for unsolicited services.
