The Algorithmic Bioinformatics Lab is recruiting a PhD student funded by TeamPerMed Center for Data-Enriched Personalised Medicine. You will work with Professor Veli Mäkinen. The general scope of the work is studying compressed data structures and applying them in the development of scalable algorithms to genome analysis tasks. More specifically, this position is devoted to studying haplotype phasing and imputation with noisy data. The noisy data is resulting from approaches to protect privacy of genomic content of individuals. The position offers collaboration opportunities with domain experts at the University of Tartu, as well as with experts in differential privacy (Assistant Professor Teresa Anna Steiner at the Univ. Southern Denmark and Professor Antti Honkela at the Univ. Helsinki) and in statistical and computational genomics (FIMM Group Leader Simone Rubinacci at the Univ. Helsinki).
A start date in early September 2026 is ideal, but it is flexible. The application deadline is June 22, 2026 (at 23:59 UTC +3).