Postdoc Researcher Position: Evolutionary Ecology of Atlantic Salmon, Ireland

🏛️ Postdoc Researcher Position: Quantitative Genetics – Predictive Breeding, Austria

❌ Deadline Reached Post Expired

📚 About the Position

The Universität für Bodenkultur Wien (BOKU) invites applications for a Postdoctoral Research Associate Quantitative Genetics BOKU position at the Institute of Crop Breeding and Genomics within the Department of Agriculture.

This is a prestigious opportunity for researchers specializing in quantitative genetics, predictive breeding, and data-driven agricultural innovation.

🎯 Position Overview

🎯 Position Overview
🎓
Position
Postdoc Researcher
📍
Location
Universität für Bodenkultur Wien (BOKU), Austria
📚
Level
PhD in Plant Breeding, Animal Breeding, Statistical Genetics, Population Genetics, or related discipline

Deadline
10 April 2026
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🌍 Why This Role Stands Out

BOKU is one of Europe’s leading life sciences universities, renowned for excellence in sustainability, biotechnology, and agricultural sciences. Located near Vienna, the Tulln campus is a hub for plant genomics and crop improvement research, offering access to state-of-the-art facilities and collaborative networks across Europe.
This Postdoctoral Research Associate Quantitative Genetics BOKU role is ideal for researchers aiming to:
– Advance classical and genomic breeding strategies
– Work with large-scale genomic and phenotypic datasets
– Develop reproducible research pipelines in R and Python
– Teach and mentor the next generation of plant scientists
– Secure third-party research funding

📋 Key Responsibilities

1. Independent Research in Quantitative Genetics

Lead high-level research projects in data-driven predictive breeding, integrating genomic and phenotypic data to improve crop performance and sustainability.

2. Advanced Data Analysis & Tool Development

Design reproducible pipelines using R and Python to manage and analyze large datasets, including SNP profiles and transcriptomic sequences. Ensure compliance with modern data governance standards.

3. Teaching & Academic Contribution

Deliver core and elective courses in:

  • Quantitative Genetics
  • Experimental Design
  • Biostatistics

Provide methodological consulting and contribute to curriculum development.

4. Student Supervision & Mentorship

Supervise PhD, MSc, and BSc students while fostering a collaborative and research-driven learning environment.

5. Research Funding & Collaboration

Acquire third-party funding and manage national and international research collaborations, including partnerships with industry stakeholders.

6. Publication & Outreach

Publish in peer-reviewed journals, present at international conferences, and actively engage in science communication and knowledge transfer initiatives.

✅ Eligibility Criteria

To be considered for this competitive academic position, candidates must have:

  • PhD in Plant Breeding, Animal Breeding, Statistical Genetics, Population Genetics, or a related discipline
  • Strong expertise in quantitative genetics
  • Extensive experience in biostatistics, including AI-based techniques
  • Advanced programming skills in R and/or Python
  • Experience handling big data, including genomic and phenotypic datasets
  • Excellent English communication skills (German B2 is advantageous)
  • Strong organizational, teamwork, and project management abilities

🏛️ Work Environment & Equal Opportunity

BOKU is committed to increasing diversity and particularly encourages qualified women to apply. In cases of equal qualification, female candidates will receive preference unless specific reasons favor a male candidate.
Applicants with disabilities who meet the qualifications are strongly encouraged to apply.

📝 Application procedure 

Submit your complete application to HR Management at BOKU:

📧 recruiting@boku.ac.at

📌 Reference Code: 57

📍 Peter-Jordan-Straße 70, 1190 Vienna, Austria

Required Documents

  • motivation letter
  • curriculum vitae (CV)
  • doctoral degree certificate
  • ORCID ID
  • list of publications (peer-reviewed and others)
  • conference presentations
  • summary of independent research projects

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