The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Assistant.
Key Responsibilities:
Collaborate with a PhD student to collect a large scale of out-of-distribution datasets.
Collaborate with a research fellow to implement algorithms aimed at enhancing machine intelligence through compositionality.
Apply developed algorithms to real-world applications with sparse data.
Job Requirements:
Bachelor’s degree in computer science, software engineering, mathematics, or a related field.
Background in machine learning.
Proficiency in programming languages such as Python, and experience with machine learning libraries (e.g., TensorFlow, PyTorch).
Excellent problem-solving skills and ability to work as part of a team.
Passion for applying machine learning algorithms to real-world problems, particularly in domains with limited data.
Effective communication skills and ability to convey complex technical concepts to both technical and non-technical stakeholders.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
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