Research Engineer II (Machine Learning)

Nanyang Technological University; Singapore; On-site; SGD 125,000 - 150,000; Full time

Job summary

A top-ranked university in Singapore is looking for a Research Engineer II to develop machine learning algorithms for drone swarms. Candidates should hold a Master’s degree in a relevant field and possess proficiency in Python and Pytorch. The position includes responsibilities such as software implementation, report preparation, and student supervision. Excellent communication skills are essential for this role.

Qualifications

• Master’s degree required in relevant fields.
• Familiarity with machine learning and computer vision frameworks.
• Good written and oral communication skills required.

Responsibilities

• Develop algorithms for drone swarms.
• Perform software/hardware implementation.
• Prepare reports and conduct presentations.
• Assist in proposal writing and supervise graduate students.

Skills

Machine learning algorithms

Visual perception techniques

Python

Pytorch

Communication skills

Education

Master’s degree in Electrical Engineering, Computer Science, Statistics, or related field

Job description

Research Engineer II (Machine Learning) page is loaded

Research Engineer II (Machine Learning)

Apply locations NTU Main Campus, Singapore time type Full time posted on Posted Yesterday job requisition id R00021652

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.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are hiring a Research Engineer II in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for drone swarms. The role will focus on visual localization techniques.

Key Responsibilities:

• Develop signal processing and machine learning algorithms and methods for drone swarms.

• 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:

• Master’s degree in Electrical Engineering, Computer Science, Statistics, or related field.

• Familiarity with machine learning and computer vision frameworks.

• Good written and oral communication skills.

• Proficiency in machine learning algorithms, visual perception techniques, Python, and pytorch.

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

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU

About Us

NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N).

Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.

Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.