Join IntelliStream Research Group as Project Officer at School of Computer Science and Engineering (SCSE), NTU, a dynamic team within the Parallel and Distributed Computing Lab, linked to the DANTE group. Our focus: system research in Machine Learning and Database interactions.

This six-month position, with potential renewal, involves developing a scalable, accurate Retrieval Augmented Generation (RAG) framework, data collection, coding datasets, developing deployable prototypes, and authoring high-quality research papers. Additional duties include student guidance, meeting participation, and other relevant research activities.

Key Responsibilities:

• Responsible for designing and developing new RAG framework which is more scalable and more accurate.
• Assistants for data collection and manual coding of the datasets.
• Responsible for developing deployable prototype systems based on research results.
• Responsible for writing research papers of high quality based on research results.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Bachelor's Degree in Computer Engineering, Computer Science, or equivalent
• Must have a strong background in machine learning and database systems
• Familiarity with major deep learning libraries (e.g., Pytorch, TensorFlow), and proficiency in C, C++, Python, and English.
• The ideal candidate works independently and collaboratively, adapts to flexible hours, and reports to a senior team member
• Proficiency in basics of programming languages such as C, C++ and Python
• Proficiency in English
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team
• Ability and willingness to work some flexible hours

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU