Research Assistant, Collab ML

Updated: over 2 years ago
Job Type: FullTime
Deadline: 02 Jan 2022

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European Commission › EURAXESS › Jobs & Funding › Research Assistant, Collab ML
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04/12/2021
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Research Assistant, Collab ML
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Research Assistant, Collab ML
Application Deadline: 02/01/2022 00:00 - Europe/London
Contact Details

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Company
NATIONAL UNIVERSITY OF SINGAPORE

  • WEBSITE
    https://www.timeshighereducation.com/unijobs/listing/273799/research-assistan...

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  • ORGANISATION/COMPANY
    NATIONAL UNIVERSITY OF SINGAPORE

  • ORGANISATION TYPE
    Higher Education Institute

  • COUNTRY
    Singapore

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  • ORGANISATION/COMPANY
    NATIONAL UNIVERSITY OF SINGAPORE

  • RESEARCH FIELD
    Engineering

  • RESEARCHER PROFILE
    First Stage Researcher (R1)
    Recognised Researcher (R2)

  • APPLICATION DEADLINE
    02/01/2022 00:00 - Europe/London


  • TYPE OF CONTRACT
    Permanent

  • JOB STATUS
    Full-time

OFFER DESCRIPTION

Job Description Job Summary:

The Research Assistant will be responsible for designing and implementing efficient and robust systems, and applications for algorithms and methodologies based on state-of-the-art research in machine learning and big data for collaborative machine learning.

Responsibilities:

  • Design and write robust, readable, and reusable code components and applications to implement state-of-the-art research outcomes in machine learning, artificial intelligence, and big data;
  • Perform data cleansing and processing for analysis of real-world datasets;
  • Assists with the editing and preparation of manuscripts, reports and presentations.;
  • Participate in presentations and demos for exhibiting work at appropriate events;

Requirements

  • Bachelors or Masters in Computer Science with a focus in AI/Machine Learning/Big Data;
  • Solid programming and application development skills with experience in Python/Perl/R. Mastery of programming languages such as C/C++/Java, and experience with Tensorflow would be a plus;
  • Ability to read and understand methodologies in research papers;
  • Fluent in English and good team-player;


More Information

EURAXESS offer ID: 715709
Posting organisation offer ID: 273799


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