PhD Candidate in Statistical Genomics / PhD Candidate in Computational Genomics

ETH Zurich - March 10, 2026

Two PhD Positions in Statistical Genomics / Computational Genomics

100%, Zurich, fixed-term

We invite applications for two doctoral positions as part of an international collaboration between leading research institutes in Switzerland and Belgium. The Animal Genomics group at the Institute of Agricultural Sciences at ETH Zurich and the Quantitative Genetics & Genomics group led by Dr. Tom Druet at the University of Liège are exploring DNA variation within individual animal genomes and across populations. Our teams utilize cutting-edge technologies to sequence the genomes and transcriptomes of farm animals, while applying advanced bioinformatics and statistical genomics approaches to characterize trait-associated genetic variations. We are seeking candidates for two PhD positions that lie at the crossroads of computational and statistical genomics, and bioinformatics.

Project Background

The project, titled “PangenomiX - Assessing impacts of sex chromosomal structural variants on reproduction- and meiosis-related traits in cattle through pangenomes and advanced imputation and association methods,” is a collaborative effort between Dr. Tom Druet and Prof. Hubert Pausch. Recently funded as a Weave-project by the Fonds de la recherche scientifique (F.R.S.-FNRS) and the Swiss National Science Foundation, PangenomiX aims to examine how structural variants (SV) on sex chromosomes contribute to genetic variation in complex traits, specifically those related to reproduction and meiosis.

The project will involve generating a new pangenome for cattle that includes nearly complete assemblies of the sex chromosomes. We will develop statistical methods to transfer information from the pangenome variation panel to large mapping populations through imputation, enabling us to conduct association testing between complex traits and SVs.

This four-year project builds upon the extensive research previously undertaken by the Animal Genomics group and the Quantitative Genetics & Genomics group. We have amassed significant long-read sequencing data (PacBio HiFi) to construct genome assemblies, which are now being integrated into pangenomes for further investigation into the distribution of structural variants in cattle and related species. We have also pioneered imputation methods that generate accurate genotypes in pedigreed populations and haplotype-based association testing approaches tailored for sex chromosomes.

PangenomiX will leverage large-scale long and short read sequencing data from two cattle populations to characterize structural variant diversity on the sex chromosomes and investigate the influence of these variants on male fertility and recombination rates.

Job Description

We are searching for two enthusiastic and motivated candidates to join the project:

  • Candidate One: This candidate will focus on constructing pangenomes from long read sequencing data collected from two cattle breeds. Existing PacBio HiFi sequencing data will be enhanced with ultra-long sequencing using ONT to create comprehensive assemblies for the sex chromosomes. This sub-project will be closely supervised by Prof. Hubert Pausch at ETH Zurich.
  • Candidate Two: This candidate will concentrate on imputation and association testing. Methodologies will be developed to impute structural variants into large mapping cohorts that have been derived from array or short read sequencing. The resulting genotypes will undergo association testing with complex traits using strategies that account for the multi-allelic nature of SVs. This sub-project will be closely supervised by Dr. Tom Druet at the University of Liège.

Close collaboration between both doctoral students is expected, along with anticipated research exchanges between the two groups. Previous experience with genomic data analysis on high-performance computing clusters, combined with strong communication skills, will be advantageous.

Profile

  • Research interests in statistical genomics, computational biology, computational genomics, or animal genomics.
  • Proficiency in a programming language (e.g., Python, R) along with basic experience with high-performance computing clusters is essential.
  • A MSc degree in genetics, genomics, computational biology, bioinformatics, animal sciences, or related fields is required.
  • Affinity for computational genomics, bioinformatics, or statistics is a prerequisite.
  • The ability to write scientific papers and actively participate in international conferences necessitates strong command of the English language.

Workplace

We offer an inspiring, supportive, and collaborative research environment that facilitates seamless integration into an ambitious research project. Our team consists of an energetic and international group of researchers dedicated to making significant contributions to high-level academic research in the field of animal genomics. Our track record includes numerous publications in leading multidisciplinary journals.

We Offer

  • Integration into a young and dynamic research team with diverse backgrounds.
  • The opportunity to take ownership of responsibilities within a fully funded four-year project.
  • Flexibility in designing and pursuing your own research ideas within the overall project framework.
  • Collaboration with both national and international partners.
  • Competitive salary in accordance with the regulations of the respective funding agency.

We Value Diversity and Sustainability

ETH Zurich is committed to fostering an inclusive culture. We promote equality of opportunity, value diversity, and create a working and learning environment where the rights and dignity of all staff and students are respected. To learn more about our commitment to equal opportunities and diversity, please visit our website. Sustainability is a core principle for us, and we are consistently striving towards a climate-neutral future.

Curious? So Are We.

Both positions are fixed-term for a duration of four years, with an anticipated start date of September 1, 2026 (negotiable). Some of the necessary data for conducting the research has already been collected, enabling a potentially earlier start date for the project. You will either join the Animal Genomics group led by Hubert Pausch or the Quantitative Genetics & Genomics group led by Dr. Tom Druet.

Apply online using the form below. Only applications matching the job profile will be considered.

About ETH Zürich

ETH Zurich stands as one of the world’s leading universities in science and technology, renowned for its outstanding education, cutting-edge research, and the direct application of new knowledge in society. With over 30,000 individuals from more than 120 countries, our university encourages independent thinking and fosters an environment that inspires excellence. Located in the heart of Europe, we work collaboratively to develop solutions for the global challenges related to today's and tomorrow's world.

Location : Zürich
Country : Switzerland

Application Form

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