Wissenschaftliche*r Projektmitarbeiter*in ohne Doktorat (30 WStd.)

The Department of Biotechnology and Food Science, Institute of Computational Biology is currently seeking a

Postgraduate Research Associate

project employment
(Reference code 52)

Extent of employment:
30 hours per week

Duration of employment:
1st of June 2026, limited to 31st May 2029

Workplace:
1190 Vienna

Allocation in compliance with the Collective Agreement for University Staff to job group:
B1

Gross monthly salary:
(depending on previous eligible experience) at least:

€
2.832,10 (payable 14 times per year) This project is about association mapping in sugar beet (Beta vulgaris ssp.
vulgaris) using . The focus is on computational analyses to discover candidate loci for resistance/tolerance to different types of biotic and abiotic stress, by applying machine learning methods on variant calls.

Responsibilities

• lllumina short-read mapping, variant calling, joint genotyping o Population structure analyses o Genome-wide association analysis for target traits, machine learning methods for classification and prediction of phenotypes o ldentification of candidate genes/regions and variants as markers for breeding and validation o Collaboration with group members working on similar projects and with partners providing phenotypes o Presentation of results at project meetings and conferences, contribution to manuscripts and data releases, own first-author publications

Required skills and qualifications

• Diploma degree in bioinformatics or other equivalent university degree o Language skills:
  English

  o Master’s (or equivalent) in bioinformatics, computational biology, computer science, biology/biotechnology with bioinformatics focus, or a related field o Competence with Linux and high-performance computing systems, experience in shell commands and scripting, programming skills (Python and/or Perl and/or R, but not exclusively R) o Knowledge in plant genomics and applications of high-throughput sequencing o Enthusiasm, dedication, problem-solving skills, and ability to work in an interdisciplinary consortium

Desirable skills and qualifications

• Experience with high-throughput sequencing data and variant calling o Experience with genome-wide association analysis and population genetics o Experience with machine learning applications for genomics

What we offer

• PhD position in an interdisciplinary team with access to comprehensive data sets (re-sequencing data and reference assemblies) and strong computational resources o Mentoring and the option to apply for the BOKU doctorate school "AgriGenomics" with additional financial support (e.g. conference attendances, research stay abroad) o Well-connected working place close to metro station Wien Heiligenstadt Applications can be submitted until:
  14th of April 2026 University of Natural Resources and Life Sciences Vienna seeks to increase the number of its . Therefore qualified women are strongly encouraged to apply. In case of equal qualification, female candidates will be given preference unless . People with disabilities and appropriate qualifications are specifically encouraged to apply. Please send your job application incl. o Motivation letter o CV o Contact details for 2-3 referees o Email a single PDF, email subject:
  "KZ 52
• PhD Plant stress tolerance
• [your last name]" o We welcome applications from all qualified candidates and strongly encourage applications from underrepresented groups

  to HR Management, BOKU University, Peter-Jordan-Straße 70, 1190 Vienna; E-Mail:
  recruitingboku.ac.at.

(Reference code:
52)
We regret that we cannot reimburse applicants travel and lodging expenses incurred as part of .

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