Asus Aics Sg

3 days ago

Singapore ASUS GLOBAL PTE. LTD. Full time

**About ASUS
AICS is part of ASUS, a multinational company known for the world’s best motherboards, PCs, monitors, graphics cards and routers. Along with an expanding range of superior gaming, content-creation and AIoT solutions, ASUS leads the industry through cutting-edge design and innovations made to create the most ubiquitous, intelligent, heartfelt and joyful smart life for everyone. With a global workforce that includes more than 5,000 R&D professionals, ASUS is driven to become the world’s most admired innovative leading technology enterprise.

**About AICS
The trainee will enroll in a PhD Programme with one of our local partner universities under the Industrial Postgraduate Programme (IPP) and conduct ambitious long-term research under the joint supervision of a faculty member and an AICS research staff. Specific research topics of interest include knowledge discovery, domain generalization, long-tailed learning, self-supervised approaches in NLP or CV.

We look forward to hearing from you
- A monthly stipend of S$7,000 for up to 4 years
- Full sponsorship of tuition fees for up to 4 years
- Opportunity to take on an R&D role at ASUS after graduation.

**Job Responsibilities:
- Research innovative machine learning algorithms and tools to address large-scale, real-world problems in the domains of natural language processing and/or computer vision
- Develop novel state-of-the-art methods for domain generalization, long-tailed learning, knowledge discovery
- Publish and present your work in the top AI/ML venues
- Work with our research staff and university partners, supervise students and interns
- Work with the product and engineering team to transform research output into prototypes

**Requirements:
- Bachelor or Master degree in Computer Science or related discipline with excellent academic credentials
- Passion for tackling challenging research problems
- Strong analytical and problem-solving skills
- Some experience with deep learning frameworks such as PyTorch, Keras, or Tensorflow

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