Overview
Job Description
As an Associate Researcher, you are expected to demonstrate curiosity, self-motivation and enthusiasm for working at the intersection of theory and application. You are encouraged to explore bold ideas, contribute to meaningful research, and take ownership of your work while learning advanced research methodologies.
Our Team's Main Directions
- Applying AI to the design and optimization of semiconductors and communication systems
- Conducting fundamental research that supports both our applications and the broader scientific community
Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models.
Key Responsibilities
- Support research projects by conducting experiments and collecting data
- Perform literature reviews to inform ongoing research
- Assist senior team members with data analysis and documentation
- Contribute to the development and implementation of algorithms as part of team projects
- Collaborate with researchers and engineers to explore and evaluate new ideas
- Assist in preparing publications and technical reports
- Stay up to date with the latest advancements in AI and related fields
Requirements
Required Qualifications & Expectations
- Enrolment in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field
- Demonstrated interest in research and a background in machine learning or a related area
- Proficiency in programming languages such as Python, C++, or similar
- Strong problem-solving skills and ability to work both independently and collaboratively
- Effective communication skills and ability to present complex ideas clearly
Preferred
- Experience in optimization, reinforcement learning, and/or large language models (LLMs)
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
- Previous research publications or submitted papers
Ongoing Development
Employees are encouraged to continue developing their skills, seek out new research opportunities, and actively contribute to the team’s goals. Regular feedback and support will be provided to help you achieve your professional objectives.
Sectors
Locations
Sectors
Locations
Overview
Job Description
As an Associate Researcher, you are expected to demonstrate curiosity, self-motivation and enthusiasm for working at the intersection of theory and application. You are encouraged to explore bold ideas, contribute to meaningful research, and take ownership of your work while learning advanced research methodologies.
Our Team's Main Directions
- Applying AI to the design and optimization of semiconductors and communication systems
- Conducting fundamental research that supports both our applications and the broader scientific community
Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models.
Key Responsibilities
- Support research projects by conducting experiments and collecting data
- Perform literature reviews to inform ongoing research
- Assist senior team members with data analysis and documentation
- Contribute to the development and implementation of algorithms as part of team projects
- Collaborate with researchers and engineers to explore and evaluate new ideas
- Assist in preparing publications and technical reports
- Stay up to date with the latest advancements in AI and related fields
Requirements
Required Qualifications & Expectations
- Enrolment in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field
- Demonstrated interest in research and a background in machine learning or a related area
- Proficiency in programming languages such as Python, C++, or similar
- Strong problem-solving skills and ability to work both independently and collaboratively
- Effective communication skills and ability to present complex ideas clearly
Preferred
- Experience in optimization, reinforcement learning, and/or large language models (LLMs)
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
- Previous research publications or submitted papers
Ongoing Development
Employees are encouraged to continue developing their skills, seek out new research opportunities, and actively contribute to the team’s goals. Regular feedback and support will be provided to help you achieve your professional objectives.
