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Master thesis at Vironova Research and Innovation

Master thesis at Vironova Research and Innovation

Vironova is looking for enthusiastic master students to work on a semester thesis research project. You will get the opportunity to meet the Research & Innovation team of Vironova and learn about the work performed within an exciting biotechnology company. Our office is located in Stockholm: there is a possibility to work both remotely and at the company.

Does your scientific background involve image processing and possibly deep learning methods? Can you work autonomously with python or other programming language provided the appropriate guidance and support? And finally, are you interested in one of the topics described below?

If answers are a triple yes, please send your CV & availability dates to the associated contact. Looking forward to welcoming your application and starting the project in the near future.

Research topic 1

In Transmitted Electron Microscopy (TEM), microscopists are experts at identifying image characteristics satisfying analysis requirements (e.g. focus, sharpness, contrast, area of interest, etc). However visual assessment of similarity between two images is time consuming and subjective, biased both by the analyst and the characteristics of the particle of interest. Thus, defining an automated quantification of the similarity between pairs of TEM images would help improve speed and repeatability of the assessment. Such comparison could be applied to images from different origins, e.g. acquired at different magnifications, from different microscopes, or applied to images submitted to different processing techniques.
Image datasets for the project will be either acquired or provided by Vironova.

Keywords:

Computer vision metrics, image quality assessment, TEM images, deep learning

Contact:
Small face pictures (3)

Clara Jaquet
Email: clara.jaquet@vironova.com

Research topic 2

Optical systems need alignment and focusing to produce sharp images. Depending on the design of the physical system various methods are used to measure the misalignment. However, since temporal noise exist in the measurements, this gives challenges to the optimal control that shall guide the system into and keep the system in an aligned state, by using the measurements wisely as they are expensive and takes resources from normal operation. In this project we will consider formulation of a robust optimal control, and analysis of the stability of such a system.

Keywords:

System theory, control theory, optimal control, online programming

Contact:

Martin Ryner - Vironova AB research and Innovation

Martin Ryner
Email: martin.ryner@vironova.com 

 4 April, 2022