Research Assistant (Computer Science and Engineering)

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