Student Positions
From Liebel-lab
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Research Work (Life Science Informatics):
It is all about data sharing!! and All important scientific literature is searchable!!
We invite you to join our interdisciplinary research group (Liebel-Lab), work with cutting edge technology, and participate in the emerging field of Life Science at Karlsruhe Institute of Technology, Germany!
Our interdisciplinary expertise in Assay Development, Lab Automation, Intelligent Robotic Microscopes, Image Analysis and Knowledge Management allows us to do “Next Generation High Content Screening”.
In collaboration with Chemists, Biologists and Computer Scientists we create novel tools to facilitate a Virtual Research Environment, a computer platform to conduct research by easily querying, visualizing, modeling, experimenting and reasoning on scientific data.
With our Automated Microscopes nearly 1000 embryos / cell cultures are imaged per day, which results in 200,000 Images per experiment, which generates Tera Bytes of image data. Research strongly benefits from accessible data. Due to this high data volumes in Life Science Research, it is evident that no single library alone will be able to index the science web. So, a search engine network that can handle different data types at different locations will significantly improve the scientific search process.
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Work Environment:
Learn about open source tools and systems: YaCy, Sciencenet, Harvester:
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You would also get a chance to learn more about biology and microscopy:
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The people you would work with :)
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Share your crazy ideas in our impromptu brain-storming sessions!!
Technologies & Platforms:
Platforms: Python / Web Development - JQuery - Javascript - AJAX / HTML5 / WebGL- OpenGL / Java / OpenCV / OpenCL / others you are comfortable with!
Research Interests: Semantic Web / Search Engine technology / Web Annotation / Bioinformatics / Image Processing
Projects - Sciencenet and AskMe (Positions):
These massive amounts of data needs to be shared among the scientific community: privately between collaborators in different countries or publicly eventually.
These datasets vary in their dimensions (2D, 3D, time lapse series, color channels) and the detectors or microscopy techniques to acquire the data is also different. AskMe tool creates webpages to visualize these screening data with their meta information.
And then, we adress this data challenge with a distributed peer-to-peer search engine technology and web-based data sharing. YaCy (http://yacy.net) is an open-source community project, which is adapted by our team to scientific needs.
The solution to this is “Sciencenet” (http://sciencenet.kit.edu), our search and share engine for all scientific data. Several peers are located at our facility. Publication, April 2011: "Sciencenet" - Towards a global search and share engine for all scientific knowledge
Internships (3 to 6 months):
1) Web based sharing of Scientific Experiment data:
Due to high scalability, publishing and performing experiments on a web-based infrastructure is our method of choice. Using bioinformatics and cheminformatics, these experiments are run on cluster computing infrastructure and results are made available to collaborating researchers.
2) Development of a Microscopy Data Visualization platform for a peer-to-peer-search engine:
Our search engine technology gives access to scientific experiments. To further improve usability, visualization of datasets, our goal is to have "Web based 3D visualization in real time" and "Visual browsing of the search results"
Student Assistant Positions (Immediately):
1) Java-Developer: You’d like to contribute to our Sciencenet - yacy open source project (http://yacy.net)
2) JavaScript-Developer / Web Designing: You’d like to enhance web sites for Sciencenet and AskMe tool.
3) Web Developer: You’d like to implement features on protocol level, e.g. streaming, REST, WebDAV.
4) Computer Graphics / Web visualization Developer: You’d like to use WebGL and HTML5 technologies to create scientific multidimensional models.
How to apply?
Please send your application with CV @ mailto:asmi.shah@kit.edu with Subject: "Intern Application"
Please describe your work so far, institute you work with, the year of and degree you are pursuing, your availability, and what interests you the most to work with; all this in a short summary :) We will make sure that we provide you the best working environment and cool systems to work with!!
