Research Fellow (Computer Science)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

The National University of Singapore is seeking a postdoctoral researcher to explore Explainable Artificial Intelligence applications in educational assessment. This role includes conducting research, integrating HCI principles, and developing user studies, aiming to enhance the understanding and trust in AI systems within educational contexts.

Qualifications

• Ph.D. in Computer Science, HCI, AI, Cognitive Science or related field.
• Expertise in machine learning techniques for educational assessment.
• Familiarity with Explainable AI and human-AI interaction.

Responsibilities

• Conduct research on XAI methods focusing on educational assessment.
• Develop user studies to evaluate XAI systems in educational settings.
• Collaborate with faculty and students on research projects.

Skills

Machine Learning

Research Skills

Communication

Data Analysis

Collaboration

Education

Ph.D. in Computer Science or related field

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 (NUS), Department of Computer Science, is seeking a highly motivated and talented postdoctoral researcher to join our team investigating the application of Explainable Artificial Intelligence (XAI) for educational assessment. This project aims to develop and evaluate novel XAI techniques that leverage Human-Computer Interaction (HCI) principles and cognitive modeling to understanding, alignment, and trust in AI.

Responsibilities
• Conduct research on XAI methods for educational assessment, focusing on interpretability and explainability for both teachers and students, applying HCI principles and cognitive modeling approaches.
• Integrate HCI principles and cognitive modeling frameworks into the development of XAI methods.
• Develop and implement user studies to evaluate the effectiveness and usability of the XAI system in educational settings.
• Analyze and interpret research data.
• Contribute to the preparation of research manuscripts for publication in high-impact journals.
• Collaborate effectively with a team of researchers, including faculty, graduate students, and research assistants.

Job Requirements

• Ph.D. in Computer Science, Human-Computer Interaction (HCI), Artificial Intelligence, Cognitive Science, or a closely related field
• Expertise with machine learning techniques; focus on educational assessment is a plus
• Expertise with conducting user studies, both qualitative and quantitative
• Familiarity with Explainable Artificial Intelligence (XAI) methods and human-AI topics
• Excellent research skills, including data analysis, interpretation, and scientific writing
• Strong communication and collaboration skills
• Ability to work independently and manage multiple tasks effectively