Research Fellow, TMSI

National University of Singapore

Singapore

On-site

SGD 60,000 - 90,000

Full time

14 days+
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Job summary

The National University of Singapore invites applications for a Research Fellow in the Acoustic Research Laboratory of the Tropical Marine Science Institute. The role focuses on developing, implementing and testing algorithms for underwater acoustics and marine robotics.

You will collaborate with engineers to run field trials, manage data, and document results in reports, publications and patents. A PhD in signal processing, ML or CV is required, with strong programming skills in Python or Julia

Qualifications

  • PhD in signal processing, ML or CV is required.
  • Marine robotics experience is desirable but not mandatory.
  • Strong programming skills in Python or Julia.

Responsibilities

  • Develop, implement and test algorithms for ML/CV in underwater acoustics.
  • Collaborate with engineers to develop testing systems and conduct field trials.
  • Collate and organize data, preprocess and analyze results.
  • Prepare reports, publications and patents describing results.

Skills

Machine learning
Computer vision
Python
Julia
Field work
Willingness to learn

Education

PhD in signal processing / ML / CV

Tools

Python
Julia

Job description

Company description

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description

Research Fellow, Acoustic Research Laboratory, Tropical Marine Science Institute

The Acoustic Research Laboratory (ARL) undertakes research projects in the area of underwater acoustics and marine robotics. The Research Fellow will work with team members across several projects to develop, implement & test algorithms for machine learning and/or computer vision. In addition to algorithmic work, the Research Fellow is expected to work with engineers to help develop systems to test the algorithms, help plan & conduct field trials, collate & organize data, process the data using the algorithms, write up the results in the form of internal & external reports as well as publications & patents.

Qualifications
  • Ph.D. or equivalent degree in signal processing / machine learning / computer vision
  • Experience with marine robotics is desirable but not madatory
  • Experience with practical machine learning (for computer vision preferred)
  • Strong scientific programming skills (experience with Julia or Python programming languages preferred)
  • Willingness to learn new skills
  • Interest in practical implementation & field work (at sea)
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