Research Fellow, School of Computing

18 Nov 2023
Job Info

Organisation/Firm

NATIONAL UNIVERSITY OF SINGAPORE

Analysis Discipline

Pc science
Economics
Arithmetic
Economics

Researcher Profile

First Stage Researcher (R1)

Nation

Singapore

Utility Deadline

17 Dec 2023 – 00:00 (UTC)

Sort of Contract

Different

Job Standing

Full-time

Is the job funded by way of the EU Analysis Framework Programme?

Not funded by an EU programme

Is the Job associated to workers place inside a Analysis Infrastructure?

No

Supply Description

Job Description

The Nationwide College of Singapore invitations functions for the place of Analysis Fellow within the Division of Info Methods and Analytics, College of Computing (SoC). SoC is strongly dedicated to analysis excellence in all its dimensions: Looking for elementary outcomes and insights in growing novel computational options to a variety of functions, constructing large-scale experimental methods, growing theories and insurance policies for efficient administration of data methods in organizations, and enhancing the well-being of society. We search to play an energetic function each internationally and regionally within the core and rising areas of Info Methods.

The Analysis Fellow shall be liable for working intently with the Principal Investigator on a number of analysis initiatives. Specifically, the mission goals to harness the capabilities of well being huge information analytics and the Hawkes course of for the event of a classy machine studying mannequin. This mannequin is designed to boost the precision and accuracy in predicting particular person well being, i.e., bodily exercise ranges, particularly by analyzing micro-level step depend information.

{Qualifications}

• A PhD diploma in Information Analytics, Economics/Finance, or Pc Science.
• Bilingual proficiency in Korean and English, important for growing and experimenting with machine studying fashions in collaboration with a Korean-US-based firm.
• Experience in level course of and high-dimensional information evaluation is obligatory.
• Proficiency in Python, R, Linux C/C++, SAS, LabVIEW, STATA, and SPSS.
• A powerful mathematical and quantitative background.

The above circumstances are the minimal important necessities for endeavor the mission. Please don’t apply if you don’t meet a minimum of one in all these standards.

Solely shortlisted candidates shall be notified.

Extra Info

Location: Kent Ridge Campus
Group: College of Computing
Division: Division of Info Methods And Analytics
Worker Referral Eligible: No
Job requisition ID: 22781

Necessities
Further Info
The place to use

Web site

https://www.timeshighereducation.com/unijobs/itemizing/358494/research-fellow-sch…

STATUS: EXPIRED