Phd topics -
Visual Analytics for Omics Variation
Promoter: Prof. dr. ir. Jan Aerts |
More info: jobsite
More info: https://icts.kuleuven.be/apps/jobsite/vacatures/id/52923997/lang/en
The Visual Analytics group at KU Leuven is part of the DataVisLab and hosted within the Bioinformatics unit of ESAT/STADIUS of the Department of Electrical Engineering at the Faculty of Engineering. The Bioinformatics group has extensive expertise in machine learning and data mining, for example in gene and variant prioritization for rare genomic disorders. The Visual Analytics subunit aims at making sense of large and complicated datasets in order to identify unknown patterns.
Data currently generated in omics research exhibits the main properties of so-called "big data": it has high volume, and it contains intricate and often a priori unknown correlations and interactions between different data types. As a result, the challenge has become to identify hypotheses present in the data rather than testing questions that are well-defined beforehand. In such cases, a visual analytics methodology can provide very powerful and elegant solutions. Visual analytics (VA) is often described as the science of analytical reasoning facilitated by the visual interface, and "integrates the analytic capabilities of the computer and the abilities of the human analyst, thus allowing novel discoveries and empowering individuals to take control of the analytic process" (Keim et al, 2010). The visual analytics approach relies on interactive and integrated visualizations for exploratory data analysis in order to identify unexpected trends, outliers or patterns. These can indicate interesting hypotheses that can be pursued using automated algorithms and help define parameter spaces of these algorithms. By putting a human back into the loop to guide the analysis, interactive data visualizations have an important role to play when faced with this type of data.
In this project, the PhD student will work in close collaboration with researchers in genomics, transcriptomics and other omics fields, to develop novel visual analytics methods for representation of and interaction with variation data (both copy number variation and single nucleotide polymorphisms) as applied to for example evolution, single cells and phylogenies.
The lab offers a dynamic and intellectually challenging environment, in close collaboration with experts from a wide variety of domains. For more information on holiday arrangements, insurance, career development etc, see http://www.kuleuven.be/personeel/jobsite/en/phd-info
The KU Leuven is one of Europe's leading research universities, with English as the working language for research. Leuven lies just east of Brussels, at the heart of Europe. The city is less than two hours travel from Paris, London and Amsterdam.
For more information please contact Prof. dr. ir. Jan Aerts, tel.: +3216321053, mail: email@example.com.
You can apply for this job no later than March 31, 2015 via the Click here to apply to this project
Advanced Symmetric Cryptanalysis
Promoter: Bart Preneel |
Description: Symmetric cryptography is used to protect large amounts of digital data. Block ciphers, stream ciphers, message authentication codes, hash functions are types of algorithms which fall in the class of symmetric cryptography. Well-known standards include the AES, the 3GPP algorithm suite, the SHA-3 candidates. The security of these algorithms is usually measured by determining their resistance against several methods of cryptanalysis: differential cryptanalysis, linear cryptanalysis, etc.
We are continuously looking for students who want to learn about symmetric cryptanalysis and to apply the methods to modern cryptographic algorithms. Besides the standard cryptanalysis methods, the students will also work with recently developed advanced variants like rebound attacks, zero-correlation linear cryptanalysis etc.
A background in cryptography or computer security is not required. The applicant should be familiar with linear algebra, coding theory, Boolean functions, programming in C, C++ or Java, and be willing to learn more mathematics as needed.
Key words: symmetric cryptography, cryptanalysis, hash functions, block ciphers, stream ciphers
Latest application date: 2016-04-09
Type of Position: scholarship
Duration of the Project : 4 years
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