Research Fellow, Healthcare Data Science

Data Science and Healthcare. Exploring the different ways Data… | by Fhel Dimaano | Medium

Job Description

We are looking to recruit Research Fellows to join our project in Healthcare Data Science. These projects are hosted at the NUS-CISCO Joint Lab of National University of Singapore. The selected candidate will be working in a truly cross-disciplinary team, where he/she will have the opportunities to work with clinical experts from SingHealth and NUHS. He/she will be working primarily with Professors Mengling Feng and Mehul Montani. The selected candidate will also be part of our collaborations with our industrial partner, CISCO.

Job Summary:

The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on trusted collaborative machine learning that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for trusted collaborative machine learning;
Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
Develop ideas for application of research outcomes;
Contribute to knowledge exchange activities with external.

Qualifications

Possess a PhD in Computer Science or relevant fields, with specialization related to machine learning, data mining, artificial intelligence or databases;
Proven ability to conduct independent research with a strong and relevant publication record;
Strong publication track records with top conference and journal papers will be a plus;
Experienced in using the latest machine learning, AI, and big data platforms;
Proficient in python/C++/R programming
Excellent interpersonal communication and oral presentation skills.
An effective team player
Open to fixed-term contract

Interested applicants to apply directly to NUS Career site.

For any enquiries, please contact Dr Mengling FENG at ephfm@nus.edu.sg and and A/Prof Mehul Motani at motani@nus.edu.sg.

APPLY NOW