Research Assistant (Computer Science)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 20,000 - 60,000; Full time

Job summary

A leading academic institution in Singapore seeks candidates for a role focused on developing novel reinforcement learning algorithms and publishing research findings. Candidates should possess a Master’s degree, a strong background in RL, LLMs, VLMs, and proficiency in Python and deep learning frameworks. Join a collaborative team dedicated to pushing the boundaries of AI research.

Qualifications

• Master’s degree in a relevant field.
• Strong foundation in reinforcement learning, LLMs, VLMs, and probabilistic inference.
• Proven research record demonstrated by publications in top-tier AI/ML venues.

Responsibilities

• Analyze limitations of current RL methods for training reasoning models.
• Develop and validate novel algorithms to address challenges.
• Collaborate with the team to publish findings.

Skills

Reinforcement learning

Python programming

Deep learning frameworks

Education

Master’s degree in a relevant field

Tools

PyTorch

TensorFlow

Job description

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via the NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

• Analyze the fundamental limitations of current reinforcement learning (RL) methods for training reasoning models in large language models (LLMs) and vision-language models (VLMs).
• Develop and experimentally validate novel algorithms from a probabilistic inference perspective to address these challenges.
• Collaborate with the team to publish findings in top-tier venues.

Qualifications

• Master’s degree in a relevant field.
• Strong foundation in reinforcement learning, LLMs, VLMs, and probabilistic inference.
• Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Proven research record demonstrated by publications in top-tier AI/ML venues.