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Research Fellow, Explainable AI

3 months ago

Singapur, Singapore NATIONAL UNIVERSITY OF SINGAPORE Full time
Roles & Responsibilities

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

National University of Singapore (NUS) is a reputed world-class university that provides an outstanding and supportive research environment. Singapore is a vibrant, well-connected city with low taxes and research hub in Asia.


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 provide teachers and students with more transparent and actionable insights from educational assessments.


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.

Interested applicants should apply with their CV and research statement.


The appointment will be for 1 year, extensible for 1 more year, upon review of satisfactory performance. The selected candidates will be offered competitive salaries and benefits.

Qualifications
  • Ph.D. in Computer Science, Human-Computer Interaction (HCI), Cognitive Science, or a closely related field.
  • Expertise with machine learning techniques; focus on educational assessment is a plus.
  • Familiarity with Explainable Artificial Intelligence (XAI) methods.
  • Familiarity with cognitive modeling approaches and their application in educational technology.
  • Excellent research skills, including data analysis, interpretation, and scientific writing.
  • Strong communication and collaboration skills.
  • Ability to work independently and manage multiple tasks effectively.

Tell employers what skills you have

Machine Learning
Usability
Data Analysis
Modeling
Ability To Work Independently
Artificial Intelligence
Scientific Writing
Computer Science
Research Skills
Educational Technology