Research Fellow, Deep Learning

Updated: over 2 years ago
Job Type: FullTime
Deadline: 24 Oct 2021

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European Commission › EURAXESS › Jobs & Funding › Research Fellow, Deep Learning
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25/09/2021
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Research Fellow, Deep Learning
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Research Fellow, Deep Learning
Application Deadline: 24/10/2021 00:00 - Europe/London
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NATIONAL UNIVERSITY OF SINGAPORE

  • WEBSITE
    https://www.timeshighereducation.com/unijobs/listing/266819/research-fellow-d...

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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)
    Established Researcher (R3)
    Leading Researcher (R4)

  • APPLICATION DEADLINE
    24/10/2021 00:00 - Europe/London


  • TYPE OF CONTRACT
    Other

  • JOB STATUS
    Full-time

OFFER DESCRIPTION

Job Description

We are seeking for a Research Fellow who is experienced in the field of deep learning and machine learning. 

The selected incumbent is expected to

  • Take responsibility for the concept, model design, analysis of advanced deep learning model (e.g., transformers) design for medical image data analytics.
  • Be involved in technology development to increase the technology readiness level.
  • Conduct high-quality research, propose his/her own research ideas, and to be an active member of the department.

Qualifications

  • Possess at least a Doctoral degree in computer science or electrical engineering
  • Proven track record with good publications in top tier conferences like CVPR, NeurIPS and ICLR.
  • Good written and oral communication
  • Values team work
  • Meticulous, able to work well under pressure and commitment to meet tight deadlines
  • Open to fixed-term contract

More Information

Location: Kent Ridge Campus
Organization: Engineering
Department : Electrical And Computer Engineering
Employee Referral Eligible: No


More Information

EURAXESS offer ID: 689069
Posting organisation offer ID: 266819


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