Engineer in computer science for microscopy at the Interdisciplinary Institute for Neuroscience (IINS, UMR 5297CNRS), Bordeaux
Team: Quantitative Imaging of the Cell
Type of contract: 12 months, renewable, full time
B.S. /M.S. in a computer science, bioinformatics or biotechnology with 1 to 3 years of work experience
Salary: commensurate with experience
We are searching a motivated engineer to create and expand on existing software solutions dedicated to biologists’ needs
for the acquisition and analysis of High Content Screening (HCS) experiments on super-resolution optical microscopes.
Under the responsibility of the project leader and in close collaboration with the biology and bioinformatics teams, he/she
- Develop the software and graphical user interface for the acquisition (screening) and create a database from
super-resolution microscopic image analysis (localizations, tracking, …)
- Implement new classification methods and evaluate them on biological data.
Language: Visual Basic .NET, C/C++, Python. Optional : Matlab, Java, R.
Database IT, SQL.
Knowledge of fundamentals of microscopy (Experience with Metamorph is a plus).
Excellent communication skills, openness, and ability to collaborate in an interdisciplinary environment.
The “Quantitative Imaging of the Cell” team develops novel imaging techniques to better understand the living cell activity
at high spatial and temporal resolutions, in a high throughput context. Three main research area are investigated:
- Novel instruments for high-resolution microscopy of living samples, focusing on the development of new
instruments for Single Molecule Tracking by Photo-Activation Localization Microscopy (SPT-PALM), Local
Photoperturbation Microscopy (FRAP/PA), 3D imaging of thick biological specimens (Multi-photon Imaging) and
Structure Illumination microscopy (SIM, Compress Sensing).
Analytical tools for object segmentation, tracking and visualization using CPU and GPU.
High Content Screening Microscopy to quantify the dynamics of active proteins within the living cells, using super-
resolution microscopy and micropatterning/microfluidics to control cell geometry and their local chemical
The team works in close collaboration with the Bordeaux Bioinformatics Center (CBiB) and some industrial partners
Jean-Baptiste Sibarita: email@example.com