Research Assistant, Explainable AI (School of Computing)

National University of Singapore; Singapore; On-site; USD 40,000 - 70,000; Full time

Job summary

An established industry player is seeking a Research Assistant to join their dynamic team focused on human-centered AI techniques. This role involves collaborating on cutting-edge research projects, designing explainable machine learning models, and developing software toolkits for scalable AI testing. Ideal candidates will have a strong background in computer science, particularly in AI and machine learning, alongside hands-on experience with Python and relevant frameworks. This is a fantastic opportunity to contribute to innovative research and make a meaningful impact in the field of artificial intelligence.

Qualifications

• Bachelor's or Master's degree in computer science with a focus in AI/machine learning.
• Strong coding skills with experience in Python and familiarity with machine learning frameworks.

Responsibilities

• Collaborate with team members to advance research projects.
• Design and implement explainable machine learning models.

Skills

Python

Problem-solving

AI/Machine Learning

Data Analysis

User Experience Design

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Scikit-learn

PyTorch

Job description

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). We are a team of researchers passionate about building human-centered explainable AI techniques.

The Research Assistant will be responsible for working closely with the Principal Investigator and other lab members on one or more research projects. He/she should have hands-on experience in artificial intelligence and machine learning.

Key responsibilities:

• Discuss and collaborate with other team members to advance the research project.
• Design and implement the explainable machine learning models.
• Develop a software toolkit to support scalable testing of AI models and user interfaces.
• Assist in developing cognitive models.
• Analyze data based on the evaluation results.
• Provide feedback on any problems encountered.

Qualifications

• A bachelor's or Master's degree in computer science with a focus in AI/machine learning. Relevant research experiences would be a plus;
• Strong coding and problem-solving skills with experience in Python. Familiarity with the machine learning frameworks (e.g. Scikit-learn, PyTorch), data analysis tools, and front-end development. Familiarity with user experience design and user study experiments are a plus;
• Ability to read and understand methodologies in research papers;
• Good written and verbal communication skills in English. for reporting issues during experiments and involving in discussions on model design.