Job Description

Research Fellow – Multimodal Time-Series Analytics & Explainability development of algorithm and system for the project

The School of Computing at the National University of Singapore (NUS) invites applications for a Postdoctoral Research Fellow position in the area of time-series analytics and explainable AI. The successful candidate will contribute to the MOE-funded project “Time Will Tell (TwT)”, which explores natural language-based interaction with time-series data. The role involves conducting research on multimodal learning and leading technical development efforts within the project.

Qualifications

Applicants should meet the following requirements:

• PhD Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field, obtained within the last five year
  
  
• Research Experience in one or more of the following areas:
  • Time-series analytics or forecasting
  • Natural language processing (especially question answering or language grounding)
  • Multimodal learning (e.g., combining text with temporal or numerical data)
  • Explainable AI (XAI) or interpretable machine learning
    
    
• Strong Publication Record in reputable international conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGMOD, VLDB)
  
  
• Technical Skills:
  • Proficiency in Python and major deep learning frameworks such as PyTorch or TensorFlow
  • Familiarity with transformer architectures and large language models (e.g., BERT, GPT)
  • Experience in building, training, and evaluating deep learning models on real-world datasets
    
    
• Communication & Collaboration:
  • Ability to work independently and as part of a collaborative research team
  • Strong written and oral communication skills
  • Commitment to mentoring graduate and undergraduate students
    
    
• Desirable (but not required):
  • Experience with time-series QA datasets (e.g., Time-MQA, TSQA, MTBench)
  • Background in signal processing or domain-specific time-series (e.g., financial, medical)
  • Experience with open-source contributions or system/toolkit development

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Department of Computer Science