Research Assistant in Deep Reinforcement Learning

The Deep Learning laboratory in the Division of Science at New York University Abu Dhabi seeks to recruit a research assistant to work on Deep Reinforcement Learning (DRL). The successful applicant will lead the lab's music generation initiative. Our laboratory has expertise in deep learning, including deep reinforcement learning, large language models, and the theory of deep learning.

The candidate will develop DRL algorithms for online and offline tasks, for robotic applications, and possibly for LLM reasoning applications in the future. The work will involve designing algorithms, running experiments on high-performance computing (HPC) systems, analyzing the results, and improving the algorithms. Additionally, extensive literature reviews will be part of the responsibilities.

Qualifications:

• Undergraduate degree in computer science
• Significant experience with deep learning using PyTorch
• Expertise in reinforcement learning
• Completion of several major projects in DRL
• Excellent mathematical and English skills

Employment Terms:
The terms of employment are very competitive and include housing and educational subsidies for children.

Application Requirements:
To be considered, applicants must submit the following in PDF format:

• Cover letter
• Curriculum vitae
• Transcript of degree
• One-page summary of research accomplishments and interests
• At least two letters of recommendation

Language Requirements:
Applicants should possess excellent English skills.

Note: Applications will be accepted immediately and candidates will be considered until the position is filled.

Location:
Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

Work Conditions:
On-site, Full-time.