Principal Researcher for Scalable Machine Learning Framework

2 weeks ago


Singapore Nanyang Technological University Full time

We invite applications for a Project Officer position at the College of Computing & Data Science (CCDS) at Nanyang Technological University.

As a dynamic team member within the Parallel and Distributed Computing Lab, linked to the DANTE group, your focus will be on system research in Machine Learning and Database interactions. This six-month position, with potential renewal, involves developing a scalable Retrieval Augmented Generation (RAG) framework, data collection, coding datasets, deploying prototypes, and authoring high-quality research papers. Additional responsibilities include guiding students, participating in meetings, and other relevant research activities.

About the Role

The successful candidate will be responsible for designing and developing a new RAG framework that is more scalable and accurate. They will also assist in data collection and manual coding of datasets, develop deployable prototype systems based on research results, write high-quality research papers, provide guidance and support to students associated with the project, attend and contribute to meetings, and undertake other duties relevant to the programme of research.

Requirements
  • Bachelor's Degree in Computer Engineering, Computer Science, or equivalent
  • Strong background in machine learning and database systems
  • Familiarity with major deep learning libraries such as PyTorch, TensorFlow, MatConNet
  • Proficiency in basic programming languages like C, C++, and Python
  • Proficiency in English
  • Ability to work with limited supervision and collaborate in a multidisciplinary team
  • Willingness to work flexible hours
Benefits

We regret that only shortlisted candidates will be notified. The estimated salary for this position is SGD $5,500 per month, reflecting the level of responsibility and expertise required. As a member of our team, you will have the opportunity to contribute to cutting-edge research and work collaboratively in a dynamic environment.


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