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PhD student, on the subject of Computational Pan-genomics: Algorithms & Applications.
Centrum Wiskunde & Informatica (CWI) has a vacancy in the Life Sciences and Health (LSH) research group for a talented
PhD student,
on the subject of Computational Pan-genomics: Algorithms & Applications.
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 genetic 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/statistically exploiting graph-based pan-genomes requires skills that common-day education does not yet provide. The goal of this project is to train a new class of researchers who are able to deal with the (exabyte-scale) 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 and software 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. In addition, we will study phylogenetic relations within and across pan-genomes. In applications, we will compare also 'pan-transcriptomes', e.g. liver cell with colon pan-transcriptome, and microbiomes, integrated into pan-genomes, so as to accurately identify the commonalities and differences between the two entities.
Supervised by: Solon P. Pissis (website) and Leen Stougie (website).
Candidates are required to have a Master's degree in Computer Science, Mathematics or a related discipline, and a specialization in Algorithms, Combinatorics, Combinatorial Optimization or related fields. Preferable qualifications for candidates include proven research talent in a Master's project, an excellent command of English, and good academic writing and presentation skills.
Diversity code
CWI encourages a diverse workforce: we endeavour to develop talent and creativity by bringing people from different backgrounds and cultures together. We recruit and select based on capabilities and talent. We strongly encourage everyone with the appropriate qualifications to apply for the vacancy, regardless of age, gender, origin, sexual orientation or physical abilities.