PhD position in Distributed inferencing on zero/low power embedded devices in smart farming

Pervasive Wireless Systems Group

Deadline for receipt of applications: February 14th, 2025 23:59 AoE (15 February 2025, 13:59h Europe/Madrid Time)

IMDEA Networks’ Pervasive Wireless System Group headed by Prof. Domenico Giustiniano invites applications for PhD positions in the framework of HORIZON-MSCA-2023-DN-01-01 ANT Project

Host institution: IMDEA

Country: Spain

Supervisor: Prof. D. Giustiniano [IMDEA]

Co-supervisors: Dr. J. Beysens [CSEM]; Dr. F. Widdershoven [NXP]

Objectives:

 1) To develop lightweight computation- and memory-efficient embedded AI models on extremely low-battery smart farming sensors

 2) To design distributed inference mechanisms by partitioning the workload across devices within a hierarchical network infrastructure 

  3) To design a system and test it through real-life smart farming use cases using battery-free IoT sensors developed by IMDEA.

Expected Results:

 1) Embedded AI models suited for battery-free or extremely low-battery smart farming sensors 

 2) Distributed inferencing algorithms for hierarchical network infrastructure

 3) Proof-of-concept smart-farming system design & testing using battery-free IoT sensors.

PhD enrolment: Doctoral School of UC3M

Planned secondments: 

• CSEM(3 months, M16-M18): Distributed inferencing algorithms for low-power embedded devices, with Dr. J. Beysens (KPI: joint paper)
• NXP(3 months, M28-M30): Embedded AI models suited for battery-free smart farming sensors, with Dr. F. Widdershoven (KPI: joint paper)

Candidate profile: telecommunication engineering, electrical engineering, computer science (in order of preference)

Desirable skills/interests: signal processing, embedded systems, machine learning(the applicant should be proficient in at least one or two of the skills)

Application Deadline: February 14, 2025, AoE

Descriptions of all the 18 DC Positions

Submit Your Application HERE

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No. 101169439.