Research Fellow (Signal Processing and Machine Learning)

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Nanyang Technological University (NTU), Singapore, invites applications for a Research Fellow in Signal Processing and Machine Learning to develop algorithms for drone swarms and multi-agent perception. The role focuses on advancing visualization and control in distributed systems.

Applicants should hold a PhD in a relevant field and have strong experience in ML, computer vision, and signal processing. Candidates with excellent communication and teamwork skills are encouraged to apply.

Qualifications

• PhD in Electrical Engineering, Computer Science, Statistics, or related fields.
• Familiarity with machine learning and computer vision frameworks.
• Strong written and oral communication; ability to work independently and meet strict timelines.

Responsibilities

• Develop signal processing and machine learning algorithms and methods for drone swarms.
• Develop multi-agent visual perception techniques.
• Perform software/hardware implementation and empirical studies.
• Prepare reports and present at seminars.
• Assist PI in proposal writing and supervise graduate students.

Skills

Drone swarms

Signal processing

Machine learning

Multi-agent vision

Education

PhD in EE/CS/Statistics or related

Tools

TensorFlow

PyTorch

ROS

Job description

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 drone swarms. The role will focus on multi-agent visual perception techniques.

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

Key Responsibilities:

• Develop signal processing and machine learning algorithms and methods for drone swarms.
• Developmulti-agent visual perception techniques.
• Perform software/hardware implementation and empirical studies.
• 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 machine learning and computer vision frameworks.
• 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)