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Scientist(F/M/D) Transforming Plant Holobiont Research With Ai/Ml
Posted on Dec. 6, 2024
- Wien, Austria
- No Salary information.
- Full Time
As Austria's largest research and technology organisation for applied research, we are dedicated to make substantial contributions to solving the major challenges of our time, climate change and digitalisation. To achieve our goals, we rely on our specific research, development, and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture of innovation and our motivated, international teams, we are working to position AIT as Austria's leading research institution at the highest international level and to make a positive contribution to the economy and society.
VIENNA RESEARCH GROUPS FOR YOUNG INVESTIGATORS
- Being part of the Competence Unit Bioresources within the Center for Health & Bioresources you build up your own research group.
- You develop AI/ML methods for multi-modal (multi-omics) data integration.
- You are involved in the set-up of novel architectures for processing sensor-based phenotype data of plants.
- Together with the team you innovate the field of holobiont-environment interactions leading to new applications. You plan and lead research projects and implement them according to the highest scientific standards. This is associated with publishing, lecturing and other dissemination activities.
- You publish your results in international journals and present them at international conferences.
- You supervise and support students.
- In collaboration with a university in Vienna you are involved in lecturing and teaching activities.
- Your innovative work and multi-disciplinary approach help to develop novel applications for a sustainable crop production
Your qualifications as an Ingenious Partner:
- Doctoral degree/PhD with up to eight years post-doctoral research experience.
- Excellent knowledge in AI/ML and domain knowledge in a life science discipline (e.g. agronomy, botany, microbiology).
- Sound knowledge of modelling, multi-modal data integration and analysis are crucial.
- Excellent publication record and international reputation.
- Experience in designing and participating in research projects, ability to lead research groups, willingness to acquire third-party funding.
- Educational and didactic qualifications, including supervision of Master and PhD students.
- Special interest in applied research and the solution of practical problems.
- Excellent language skills in English (spoken & written).
- Applicants are currently (till March 2025) not employed in Austria and must have gained research experience at a university or other research institution outside of Austria for a total of at least two years in the previous three years.
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