Postdoc Position on Genome Assembly at the Population Scale

Updated: 3 months ago
Job Type: FullTime
Deadline: 01 May 2024

7 Feb 2024
Job Information
Organisation/Company

ETH Zürich
Research Field

Biological sciences » Biology
Biological sciences » Other
Researcher Profile

Recognised Researcher (R2)
Country

Switzerland
Application Deadline

1 May 2024 - 21:59 (UTC)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

41
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Postdoc Position on Genome Assembly at the Population Scale


The Animal Genomics group within the Institute of Agricultural Sciences at ETH Zurich investigates animal (epi-)genomes and transcriptomes. The group applies bioinformatics and statistical methods to detect and characterize trait-associated sequence variation from short and long-read sequencing data. We are looking for a motivated researcher who is eager to work on cutting-edge research projects within a young and international team.
We are looking for a researcher to join our team of doctoral, post-doctoral, and senior researchers as soon as possible. This is a full-time position with an anticipated start date of June 1st, 2024 (negotiable). The position is based at ETH Zurich, Switzerland. You will join the Animal Genomics group  led by Hubert Pausch.


Project background

This position focuses on the assembly-based characterization of structural variation in cattle. The main aim of this project is to use long read sequencing data (ONT, HiFi) from a large cohort of animals to build assemblies, detect structural variants, and predict their impact on (molecular) phenotypes. Plenty of data have been collected already, these include

  • more than 50 haplotype assemblies representing various breeds of taurine and indicine cattle. These data can be used to build highly informative graph-based pangenomes;
  • long read sequencing data (HiFi & ONT) of >150 individuals. These data enable investigating structural variant diversity and methylation variation;
  • more than 100 individuals for which both HiFi reads and RNA sequencing data for several tissues are available. This dataset is ideally suited to investigate the impact of structural variants on complex traits.

Our group also contributes to large international collaborative projects such as the Bovine Pangenome Consortium and the Cattle Long Read Sequencing Consortium, and the successful candidate is encouraged to actively contribute to these efforts as well. We have access to ETH's high-performance computing cluster and state-of-the-art molecular user labs equipped with short- and long-read sequencing technologies. We are committed to open and reproducible research. 


Job description

We are looking for a computational genomics-oriented researcher that is eager to

  • contribute to cutting-edge research projects,
  • support ongoing projects of doctoral students,
  • develop and implement own research ideas

You are encouraged to make use of the wealth of (epi-)genomic and transcriptomic data we have accumulated over the past years to develop and execute your research ideas centered around the assembly-based detection of structural variation. Close interaction with other group members, contributing to other ongoing research projects, and establishing novel collaborations with other scientists are encouraged. Ideally, you will pursue research interests that complement our ongoing efforts. Potential topics that are most relevant for us include (but are not limited to) the de novo assembly of individual animal genomes, the development and analysis of pangenomes using (ultra) long-read sequencing data, and the development of novel association testing methods from graph-based pangenomes. Many other research directions are possible as the advertised position is not bound to a research project.

Active participation in international conferences and scientific writing are very much supported.

Our group contributes to the teaching in the study program Agricultural Sciences at ETH. Depending on the seniority of the candidate, a contribution to supervising the Bachelor/Master thesis the teaching of existing courses, or the development of novel complementary offers is expected.


Your profile

You should have a strong research interest in computational genomics, computational biology, bioinformatics, or statistical genomics. Proficiency with a programming/scripting language (e.g., python) and working in a high-performance computing environment are prerequisites. Knowledge on genome assembly and pangenome tools is desired. Experience with workflow managers such as Snakemake, or the willingness to adopt these tools is a benefit. Applicants should hold a PhD (or should be close to the completion of their PhD thesis) in disciplines that are related to the advertised position. The advertised position is also available to more senior researcher (e.g., those who already finished a postdoctoral position) who want to take the next step in their career towards independence. The writing of scientific papers and participation in international conferences requires good knowledge of English.


We offer

ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits.


Working, teaching and research at ETH Zurich


We value diversity
In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
Curious? So are we.

We look forward to receiving your online application with the following documents:

  • A motivation letter (not more than two pages) that demonstrates (i) your suitability for the offered position and (ii) future research questions you would like to address.
  • A Curriculum vitae including a list of publications, complete academic record, and copies of Bachelor's, Master's and PhD degrees
  • Names and contact information of two references

Please note that we only accept applications submitted through our online application portal. Applications via email or postal services will not be considered. The application review will begin on March 1st and continue until the position is filled (and this advertisement is online).

Additional information about the Animal Genomics group can be found on our website . For questions about the position, please contact Hubert Pausch via email [email protected] (no applications).


About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising in
science and technology. We are renowned for our excellent education,
cutting-edge fundamental research and direct transfer of new knowledge
into society. Over 30,000 people from more than 120 countries find our
university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe,
yet forging connections all over the world, we work together to
develop solutions for the global challenges of today and tomorrow.
Requirements
Research Field
Biological sciences
Years of Research Experience
4 - 10

Research Field
Biological sciences
Years of Research Experience
4 - 10

Additional Information
Website for additional job details

https://academicpositions.com

Work Location(s)
Number of offers available
1
Company/Institute
ETH Zürich
Country
Switzerland
City
Zurich
Postal Code
8006
Street
Rämistrasse 101
Geofield


Where to apply
Website

https://academicpositions.com/ad/eth-zurich/2024/postdoc-position-on-genome-ass…

Contact
City

Zurich
Website

https://ethz.ch/en.html
Postal Code

8006

STATUS: EXPIRED

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