Image sensors have been used widely in our daily life. In this project, we will develop a low-power image sensor for IoT applications. Two key aspects are critical for this application: low power and local data processing. While the first requirement is very straightforward, the second requirement can be easily more demanding since the image data must be sent out wirelessly in most IoT systems over long distances. To filter out the useful data locally in a smart way, such that the IoT node doesn’t need to spend a lot of power to transmit the data can save significant power. Eventually, the imaging system will be integrated with an energy harvester developed in a parallel project and a Lora module developed from our industrial partner for remote environment monitoring.

The candidate should have very good analog integrated circuit design background.

Basic knowledge of data processing and its digital implementation is highly appreciated

The candidate should be highly  self-motivated.

The candidate should be a team player.

The candidate needs to have good experience with IC design software Cadence Spectre. Tapeout experience is highly appreciated, although not a must.

If you feel this role would be a perfect match, but you cannot yet tick all the boxes, we’d still really like to get to know you, as you can learn and grow on the job!  

General requirements

We make our selection based on the following general requirements:

• Formal requirements regarding prior education: you should have earned an MSc degree at a recognized institute for higher education.
• Background: this depends on the specific project.
• Excellence: your Grade-Point-Average should be above 8 (10). Also your MSc thesis should have received a grade above 8 (10). (3.3 on the 4.0 scale)*
• English: you should be able to communicate well in English (written and oral). Provide TOEFL/IELTS scores if available.
• Originality: your MSc thesis or later work (publications) should reflect some original ideas. Critical and independent thinking is very important.
• Team player: you should be able to work well in a team of other project members.

Your resume should contain contact information of prior advisors/supervisors who can provide feedback.   

*competitive applications without an MSc might be considered upon extra review[insert 

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.

Fixed-term contract: 4 years.

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 € 2541 per month in the first year to € 3247 in the fourth year. 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 sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

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 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.