Imaging Student Internship Project

Introduction

WEHI is currently developing its Research Data Management requirements and is evaluating products and tools for a hybrid Research Data Management ecosystem. The candidate will develop an understanding of data flow from WEHI microscopes and determine how to automate the processing of microscopy files based off custom scripts provided by the BioImaging team. The key output of the project is to further the current work around making it easier for non-technical people to access High Performance Compute.

Duties while on placement

The Research Data Engineer Intern role will:

review existing semi-automated workflows that are processing of microscopy data,
further automate these workflows, including file conversions and transformations of the images, and
potentially apply custom imaging processing pipeline to the raw data.

There is also flexibility with this project to allow the student to inject their own ideas and introduce new features and functionality.

Skills and Pre-requisites

Skills and Pre-requisites:

Interest in cutting edge image processing
Basic knowledge of Linux command-line
Willingness and ability to learn and understand high-level concepts quickly
Ability to work independently and to report to a group and discuss theories and results
Good analytical skills
Previous experience with git would be useful but not necessary

Benefits for students

Benefits for students whilst undertaking the internship include:

Working in a High Performance Computing environment or adjacent environment.
Practical experience with potential exposure to Bash, Python, C++.
Gain understanding of how real-world software is assessed, developed and how priorities and requirements are established within a research environment.
Gain understanding of the importance of maintainable, scalable and extensible code.

Background information: