Job no: 494872
Work type: Contract, full-time
Categories: Bachelor Degree, Information Systems Technology & Design,
We are seeking a highly motivated research assistant with strong programming
experience in Python and with experience in deep learning, to conduct research
on machine learning in the presence of noise of arbitrary type. The successful
candidate will work closely with other team members to carry out computational
experiments, towards developing a comprehensive learning theory for noisy
The goal of this project is to develop a unified mathematical framework for
dealing with arbitrary noise in a distributed network of autonomous AI
systems. We shall consider arbitrary noise not just in datasets, but also in
the model parameters of AI models. The scope of our project is inspired by
fundamental technical challenges that must be resolved before personalized AI
systems are able to interact and learn from one another (e.g. exchange AI
model parameters), without any unintended failures due to noise.
Specifically, we shall build a comprehensive theory for the trustworthiness of
data and AI models, develop general methods for noise detection tiered by
user-selected thresholds, and design robust systems for noisy distributed
learning on noisy data that are computationally efficient. We shall deal with
all types of noise, whether known or unknown, via a "universal" approach.
Duration of position: 1 year.
Required: Bachelor degree in computer science, mathematics, or data
science intensive field.
Candidates with Masters degree are welcome to apply as well. Salary
package will be based on both academic qualifications and relevant prior
The candidate must have strong understanding of algorithms, and must have
strong programming experience in Python.
An ideal candidate would have a strong mathematical background.
Prior experience working with noisy datasets is a big bonus, but is not
Interested candidates should submit a current CV and copies of academic
transcripts from both post-graduate (if any) and undergraduate studies,
directly to Ernest Chong (email@example.com) with the email subject
header "AI Research Assistant position for project on noisy data". We regret
to inform that only shortlisted candidates will be notified.
Applications close: 30 Nov 2021 Singapore Standard Time
background and with experience in deep learning, to conduct research on
machine learning in the presence of noise of arbitrary type.
candidate will work closely with other team members to develop a comprehensive
concerning the computational cost reduction of deep learning models, for
implementation of reduced-cost deep learning models on robotic prototypes.
ideal candidate would be experienced in both algorithm design and in real-time
The candidate must have...