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.

Our Center for Health & Bioresources invites applications for an internship position for our location in Tulln (in immediate vicinity to Vienna) in the Competence Unit Bioresources, where new technologies and tools are developed aimed at increasing the exploitation of plant and microbial resources.
 
Global food security is one of the key challenges of this century with a dramatic increase of the current human population and the ongoing climate change affecting crop quality and yield. Especially drought poses a threat to the yield of wheat production, and breeding aims at creating more drought-tolerant varieties. To support breeder, the project WheatVIZ aims at accelerating the breeding process via cutting-edge genomics and UAV-based phenotyping by integrating explainable AI. Throughout this internship, you will closely work with our experts and will support the data collection campaign on the field site in Obersiebenbrunn and will be responsible for their subsequent analysis. Thus, one key aspect of this internship will be data science and bioinformatics.

• As part of our multidisciplinary team, you will work in an applied research project aiming to develop new drought-tolerant winter wheat varieties.
• You will support the collection of ground truth data on the experimental field site in Obersiebenbrunn
• You will perform molecular tests for measuring proline content.
• Furthermore, you will perform statistical analysis on the collected data to infer the performance of each genotype.

• At the end, all data will be connected by means of multi-omics analysis.
• Your results can contribute to optimizing the UAV-based remote sensing data acquisition and analysis, which can then be passed on to our industry partners.
• You will create synergies with our industrial partners in the project and increase efficiency through collaboration.
• Your results can contribute to sustainable agriculture.