Research Fellow (information And Decision Theory In Biosensing And Diagnostics)

Singapore, Singapore

Job Description


The Institute for Digital Molecular Analytics and Science (IDMxS) invites applications for the position of Research Fellow.

The Institute for Digital Molecular Analytics and Science (IDMxS) is a new, unique interdisciplinary Research Centre of Excellence (RCE), funded by Ministry of Education (Singapore), Nanyang Technological University and National University of Singapore. Hosted by NTU in partnership with NUS, IDMxS is the world\xe2\x80\x99s first organized effort focused on interfacing the biological and living world with the world of information technology and data science whilst providing fundamental scientific development, grounded in materials science, optics, and interfacial chemistry.

Key Responsibilities:

  • Quantify information content (and other related metrics) of sensing/assay derived signals in relation to biological activity/disease progression.
  • Develop robust classification and decision-making algorithms for diagnostics and sensing.
  • Investigate cooperative effects, multimodal data fusion and leveraging of signal correlations for improved accuracy/sensitivity.
  • Model effects of noise in digital molecular assay systems.
As part of the role, the Research Fellow will also be expected to:
  • Perform literature reviews and stay up to date on developments in the field.
  • Disseminate results through publication in top-tier journals and conference presentations.
  • Contribute to research administration and assist in grant writing as required.
  • Supervise PhD and undergraduate student projects as required.
Job Requirements:
  • PhD Degree in Engineering/Computer Science/Physics/Mathematics or related disciplines.
  • Programming Experience: Proficient knowledge of Python, MATLAB or C.
  • Excellent knowledge in information theory.
  • Excellent knowledge in classification, decision and estimation theory.
  • Experience in image processing is preferred.
  • Good writing and communication skills.
  • Able to work well in a team and individually.
We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

Nanyang Technological University

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Job Detail

  • Job Id
    JD1344289
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Singapore, Singapore
  • Education
    Not mentioned