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Recruiting research assistant in statistical optics

Fast electron detectors are rapidly changing electron microscopy. These detectors allow probabilistic imaging of very many noisy, incomplete, chance observations that are then statistically classified and interpreted. This mode of imaging has enabled unprecedented high resolution imaging of dynamical and heterogeneous systems.

The Centre for BioImaging Sciences at the National University of Singapore is one of the few places in the world that develops new algorithmic approaches in such probabilistic electron microscopy. We are looking for motivated, aspiring scientists who would like to join us in developing this emerging field of statistical electron microscopy.

Position Available: Postdoctoral Researcher

We are looking for post-doctoral scientists with the experience in Electron Microscopy, Electrochemistry and/or Microfabrication. These qualified individuals will lead research projects in in situ transmission electron microscopy aimed at exploring nanoscale dynamics of chemical and physical processes. The project will be housed in the Center for BioImaging Sciences (http://cbis.nus.edu.sg/) and Graphene Research Center (http://graphene.nus.edu.sg/) at NUS.

The successful applicant must have completed a Ph.D. in physics (prefered), material sciences or a related discipline, with a proven ability for outstanding research that is reflected in a publication record. Considerable skill in fabrication and/or electron microscopy is required. Experience in a subset of the following areas is desirable: electrochemistry, inorganic chemistry, facility for programming in Labview, MATLAB, Image processing.

Interested postdoc applicants should send a detailed CV, along with a list of publications, and a list of three references. All the inquiries should be made via e-mail: (phyumm_AT_nus.edu.sg) addressed to Prof. Utkur Mirsaidov, Physics Department, National University of Singapore.

Only shortlisted applicants will be contacted.

Recruiting part-time help for computational bioimaging

Have you ever wished for a deeper understanding of bioImaging and optics? Or that you knew more about programming but hadn’t found time to take formal classes for it? Here’s an offer you can’t resist!

Wolfram Mathematica is a powerful yet simple platform for research as well as teaching. After 30 years of development, Mathematica’s reach has spanned math, science, engineering, finance, linguistics, data science and computational imaging (examples at www.wolfram.com ). In the near future, these capabilities will be further enhanced by an ambitious cloud-computing platform (see www.wolfram.com/mathematica/online for more information). 

For years users have contributed self-learning and exploratory modules to an open- source project using Mathematica (examples of these can be found at demonstrations.wolfram.com). This project has the potential to transform and accelerate learning through accessible computation. 

We are building modules in bioImaging to contribute to this open-source effort, and would like you to be part of the NUS team that transforms teaching with Mathematica. 

Benefits

  • An attractive stipend for your efforts.
  • Become proficient in the Wolfram language.
  • Learn to build powerful graphical user interfaces with minimal programming.
  • Learn automation of computable tasks, advanced algorithms in image segmentation, statistical methods, data science and more.

Job scope

Develop, document and maintain computational and pedagogical documents/modules for bioImaging and optics. Assist with instructions using these modules. 

Pre-requisites

  • Good communication skills, independent.
  • Commit up to 16 hours per week to this project.
  • Full-time graduate student of NUS, preferably at CBIS.

If interested, please contact

Dr Duane Loh (duaneloh“at”nus.edu.sg) or Prof Thorsten Wohland (twohland“at”nus.edu.sg).