Research Engineer II - Singapore - Nanyang Technological University
Description
Research Engineer II (Machine Learning) page is loadedResearch Engineer II (Machine Learning)
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locations
NTU Main Campus, Singapore
time type
Full time
posted on
Posted Today
job requisition id
R
A Research Engineer II position is currently available at the School of Physical & Mathematical Sciences, Nanyang Technological University (NTU).
Key Responsibilities:
Implement machine learning interpretability tools and pipeline to be included in the future machine learning interpretability platform.
Prepare reports and documentation about the implementations produced for the project
Help in designing/deploying the frontend and backend architecture of the machine learning interpretability platform.
Job Requirements:
Master Degree in Mathematics and/or Electronics and/or Computer Science
Ability to work independently and as part of a team with strong initiatives.
Good communication and interpersonal skills.
Expertise in AI/machine learning. Experience with explainable AI (XAI) is a plus.
We regret to inform that only shortlisted candidates will be notified
Hiring Institution:
NTU
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Posted 30+ Days AgoNTU 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 ().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.