Open PhD Position

Industry-Funded PhD: Digital AI Chips for Next-Gen Analog/RF Systems (TU Delft / NXP)

Deadline: Nov 15, 2025

We are excited to announce a new PhD position in the Lab of Efficient Machine Intelligence (EMI) at TU Delft, in collaboration with NXP Semiconductors!

As wireless communication and sensing systems push toward higher frequencies and bandwidths, analog and RF front-ends face growing challenges in performance, power, and scalability. This PhD project pioneers a new paradigm of “self-healing analog circuits” where low-power digital AI accelerators learn to correct imperfections such as nonlinearity, mismatch, and noise in real time.

The successful candidate will:

Design energy-efficient AI co-processors that enhance analog/RF components like ADCs and PAs;

Co-develop hardware and algorithms using hardware-aware AI techniques (quantization, pruning, etc.);

Validate on real silicon, working closely with NXP’s Eindhoven lab team.

The position is jointly supervised by Dr. Chang Gao and Prof. Leo de Vreede (TU Delft), with industrial mentorship from Dr. Maarten Molendijk and Dr. Robert van Veldhoven (NXP).

Apply Here: https://careers.tudelft.nl/job/Delft-Phd-Position-in-Digital-AI-chips-for-Next-Gen-AnalogRF-Systems-%28TUDelft-NXP%29-2628-CD/1329127457/

📅 Application deadline: November 15, 2025

📍 Location: TU Delft, Department of Microelectronics – ELCA Section

📧 Contact: chang.gao@tudelft.nl

Join us to bridge AI and silicon for the next generation of intelligent, energy-efficient analog systems!