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Job ID: 160510

Senior/Postdoctoral Associate - Bio-Imaging / AI / machine learning (Ref: IRG_CAMP_2021_012)
Singapore-MIT Alliance for Research and Technology (SMART) Centre


Date Posted Jun. 11, 2021
Title Senior/Postdoctoral Associate - Bio-Imaging / AI / machine learning (Ref: IRG_CAMP_2021_012)
University Singapore-MIT Alliance for Research and Technology (SMART) Centre
Singapore, Singapore, Singapore
Department Critical Analytics for Manufacturing Personalized-medicine (IRG)
Application Deadline Jul. 11, 2021
Position Start Date Jun. 11, 2021
 
 
  • Post-Doc
  • Mechanical Engineering
    Engineering Physics
    Electrical and/or Electronics
    Bioengineering (all Bio-related fields)
 
 

Project Overview

The Retinal Analytics via Machine Learning Aiding Physics (RAMP) is an Intra-Create grant hosted by the Campus for Research Excellence and Technological Enterprise (CREATE) and funded by the National Research Foundation (NRF). The principal investigators constitute an interdisciplinary group of ophthalmologists, biophysicists, bioengineers, data scientists and optical scientists working collaboratively, based at three Singapore research institutes: Singapore-MIT Alliance for Research and Technology (SMART), Singapore Eye Research Institute (SERI), the National University of Singapore (NUS) and the Agency for Science, Technology and Research (A*STAR).

The RAMP research group is soliciting applications to fill three Senior / Postdoctoral Associate (PDA) positions.

PDA 1: Computational imaging using physics models and machine learning;
PDA 2: Physical emulations of Biomechanical and biofluidic dynamics;
PDA 3: Machine learning in Biomechanical-fluidicexper modelling

Job Responsibilities

The topic of RAMP’s research is ocular biomechanics, in particular relating first principles to statistically confident forecasts of glaucoma progression in patients.

This will be accomplished via biomechanical analysis informed by data science, experiments in micro-structured physical emulators (phantoms) and patient studies. The resulting physical models and algorithms will enable rapid and reliable forecast of whether glaucoma progression will be fast or slow, and better targeted treatment decisions.

For this collaborative project, the selected candidates will have expertise in Artificial Intelligence, Machine Vision, Deep Learning, Soft Tissue Biomechanics, Computational Biomechanics, and Biomedical Imaging (especially Optical Coherence Tomography).

Job Requirements

  • PhD / DSc or equivalent in ophthalmology; biophysics or physics; mathematics, statistics or data science; materials science or engineering; electrical, mechanical or biomedical engineering; or related interdisciplinary programmes of study.
  • A strong publication record commensurate with the candidate’s experience is expected, as well as commitment to research at the frontier.
  • Copies of up to three (3) representative peer-reviewed publications along with the application and brief research statement on how you anticipate your research experience and career goals to be relevant to RAMP’s research along with the application

To apply, please visit our website at: http://smart.mit.edu/careers/career-opportunities. Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.


 
Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.
 
 

Contact Information

 
  • Lena Chan
    Human Resource
    Singapore-MIT Alliance for Research and Technology (SMART) Centre
    1 CREATE Way
    Singapore, Singapore 138602
    Singapore
  •  
  • 65-65168283
  • lena@smart.mit.edu

 

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