We are hiring 1 PhD student in explainable machine learning for sequential data and time series. The ideal candidate should be skilled in coding, and software development, and be highly proficient in Python, Tensorflow or Pytorch, large-scale sequential-data analysis (including time series), neural networks, explainable AI. The project is in collaboration with several partner institutions, including University of Geneva (Switzerland), Scuola Superiore Sant'Anna (Italy), and University of Cambridge (United Kingdom), the latter starting from 2023. The primary objective of the project is to develop novel tool to improve the interpretability of the results provided by neural networks, when applied to time series and sequential data (e.g., text).

Job requirements

  • Master in Computer Science, Applied Mathematics, Physics, or Engineering.
  • Coding and software development (Python, MPI, Tensorflow or Pytorch).
  • Neural networks theory.
  • Neural newtork interpretability.
  • Interest in explainable AI.
  • Good problem-solving skills.
  • Proficient in English writing and verbal communication skills.

Location and conditions

The position is based at the National University of Singapore (NUS), College of Design and Engineering Singapore, 21 Lower Kent Ridge Road, 119077.

Salary range: S$ 3500-5300/month

Contact us

If you are interested in joining us, please email us your CV. In the CV, please include: education background, working experience, list of publications, and at least 3 references that can provide recommendation letters.
Our group thank all applicants for their interest, however only those candidates selected for interviews will be contacted.