Doctoral Student Position on Combinatorial Algorithms on Strings and Graphs

Updated: about 1 month ago
Deadline: 29 Apr 2021

Centrum Wiskunde & Informatica (CWI) has a vacancy in the Life Sciences and Health (LSH) research group for a talented and motivated

PhD student,

on the subject of Combinatorial Algorithms on Strings and Graphs with Applications in Bioinformatics.

Job description
We are looking for a talented and motivated PhD student with a special interest in algorithms and data structures and their application in bioinformatics (sequence analysis). The PhD student will be positioned at CWI within the "Algorithms for PAngenome" (ALPACA) network (website ) funded by the European Commission through the Horizon 2020 Marie Sklodowska-Curie ITN Programme.

The move from sequence- to graph-based pan-genome data structures is unavoidable when seeking to exploit the wealth of genome data, instead of having devices massively congested. Putting the paradigm shift (from sequences to graphs) in effect requires new ways of thinking about genomes, as well as computer programs and mathematical models that reflect this. However, developing, maintaining and computationally exploiting graph-based pan-genomes requires skills that common-day education does not yet provide. The goal of ALPACA is to train a new class of researchers who are able to deal with the masses of genome data in terms of the progressive, graph-based approaches the research of this project deals with.

Objectives: Comparing pan-genomes amounts to comparing two graphs, generalizing the idea to align two genomes. We aim at developing algorithms for 'whole-pan-genome alignment'. Though for aligning two networks approaches already exist, they do not address the peculiarities of pan-genome graphs, in, for example, de Bruijn graph or variation graph based pan-genomic data structures. We will address these particular issues in full detail.

Supervised by: Solon P. Pissis (website )
Co-supervised by: Leen Stougie (website )


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