PhD Position Thermal Sensors based on Sigmal-Delta Modulation

Delft; Delft; Remote; EUR 38,000 - 49,000; Full time

Job summary

TU Delft invites applications for a PhD position on Thermal Sensors based on Sigma-Delta Modulation. The project aims to design next-generation thermal sensors, including flow and temperature sensors, using sigma-delta modulators.

The candidate will combine sensor physics, heat transfer understanding and analog chip design expertise, with emphasis on publication or industrial chip-design experience. English communication is essential.

Qualifications

• MSc degree in Electrical Engineering.
• Experienced chip designer.
• Strong knowledge of analog and sensor-based systems.
• Ability to conduct experimental and simulation-based research.
• Excellent written and spoken English.

Skills

Chip design

Analog electronics

Sensor systems

Experimental research

Scientific communication

English (written/spoken)

Education

MSc in Electrical Engineering

Job description

PhD Position Thermal Sensors based on Sigmal-Delta Modulation

Shape the future of sensor technology!

We’re seeking a talented engineer to design next generation thermal sensors, such as flow sensors and temperature sensors, that are based on sigma-delta modulators. The key requirements for this position are a soild understanding of sensor physics, especially about heat transfer, and a solid background in analog circuit design. Only candidates with demonstrable experience in chip design will be considered, e.g. who have published in an IEEE conference/journal or have industrial experience in chip design.

Job requirements

• You hold an MSc degree in Electrical Engineering.
• You are an experienced chip designer.
• You have strong knowledge of analog and sensor-based systems.
• You can independently conduct experimental and simulation-based research.
• You have good communication skills and can write and present scientific results clearly.
• You are proficient in English, both written and spoken.

TU Delft (Delft University of Technology)

Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow.

These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional.

Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

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.

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 €3204 - €4051 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 Kofi Makinwa, via [e-mail].

Faculty/Department: Faculty of Electrical Engineering, Mathematics & Computer Science

FTE: 1.0

Submission is possible until: 22 Oct 2026