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
Scuola Superiore Sant'Anna
(Italy), and University of Cambridge
(United Kingdom), the latter starting
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
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.
: S$ 3500-5300/month
If you are interested in joining us, please
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.