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.
