Research Fellow (Signal Processing and Machine Learning)

Ntu

NTU Main Campus · Posted Nov 12

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At a glance

Location: NTU Main Campus, Singapore
Work type: Onsite
Category: Data

Research Fellow in Signal Processing and Machine Learning at NTU to develop algorithms for localization and tracking of 5G UE in urban environments, including RF sensor systems, radar modeling, and ML approaches for geo-location data. Responsibilities include software/hardware implementation, data collection, empirical testing, and supervision of graduate students.

What they are looking for

Rf sensor systemsRadar modelsLocalizationTrackingMachine learning

Location: NTU Main Campus, Singapore

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for accurate localization and tracking of 5G network User Equipment (UE) in urban environments.

Group website: https://personal.ntu.edu.sg/wptay/

Key Responsibilities

Develop RF sensor systems and comms and radar scenario modelling and simulation.

Develop localization and tracking algorithms for air, maritime and land targets.

Perform software/hardware implementation, data collection and analysis, and empirical tests.

Generate inference from large geo-location data using machine learning frameworks like LLMs.

Prepare report and conduct presentation at seminars.

Assist PI in proposal writing and help supervise graduate students.

Job Requirements

Ph.D. in Electrical Engineering, Computer Science, Statistics, or other related fields.

Familiarity with RF sensor systems and comms and radar models.

Familiarity with machine learning and signal processing algorithms for wireless communications.

Good written and oral communication skills.

Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)

Please send your CV to Tay, Wee Peng ([email protected]). We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU