When you apply for the EMBL International PhD Programme, you are asked to select two EMBL research units and to indicate up to four research areas that interest you.
A variety of backgrounds, such as biology, chemistry, computational science, mathematics and statistics, are relevant to PhD projects at EMBL-EBI.
As well as purely computational projects, there may also be possibilities to incorporate some experimental biology in collaborating laboratories.
The following Group Leaders are amongst those hoping to recruit during 2025.
We study how normal cells in different tissues acquire somatic mutations, use mutations as inherent barcodes to study human development and the origins of cancer, and develop computational tools to analyse mutations in novel single-cell and spatial data.
Our group uses machine learning and multi-omics integration to identify and characterise chemical hazards to humans and ecosystems. We analyse omics data measured after cellular perturbations, with a particular interest in image-based cell profiling.
The Finn research group focuses on developing computational approaches for the reconstruction of genomes from metagenomes, and investigates the distribution of microbes and functions in different environments.
Our group develops bioinformatic and mathematical modelling approaches to use sequencing data to better control pathogen threats. In particular, we study genome evolution, transmission, and the effects of vaccines and antimicrobial resistance in bacterial populations.
Our goal is to acquire a functional understanding of the deregulation of cellular networks in disease and to apply this knowledge to develop novel therapeutics. We integrate big (‘Omics’) data with mechanistic molecular knowledge into statistical and machine learning methods. We are looking for a student interested in applying AI to proteomics, and one to work on host-microbiome interactions using spatial omics technologies.