PhD Candidate /PostDoc Researcher (f/m/d): Deep Learning for Image Analysis & Visualization

VRVis is looking for a skilled and creative mind who would like to join our Biomedical Image Informatics Group and cooperatively develop novel machine learning - especially deep learning - based methods for image registration and joint analysis of multi-modal plant data.

We are offering an open ended position with the following responsibilities

• VRVis is involved in several EU and national research projects in the domain of plant imaging, ranging from modalities such as PET and MRI imaging to microscopic and satellite data. Tasks entail: assisting with data collection, data integration and processing, developing novel registration and analysis methods as well as visualizing and communicating results.
• We are looking for someone who enjoys working in an applied research environment, and is eager to publish at high quality academic venues (journals, conferences), and to develop cutting-edge solutions for our industry partners working in real-world settings.
• Project management/acquisition and supervision of students are important to us, and you would have an active, supporting part in this.
• We provide the opportunity to pursue a PhD at TU Wien, or another of our partner universities.

Your background

• PhD or master’s degree in computer science, statistics, math, or another technical field related to image analytics and machine learning, especially deep learning, with relevant practical experience.
• Strong Python programming skills and project experience with frameworks like PyTorch or TensorFlow.
• Excellent communication skills in English, as we are an international team with international partners.
• High level of independent problem solving and creative thinking, coupled with a good team spirit.
• Willingness to pursue a research stay of up to 3 months at one of our international collaboration partners.

Applications are welcome!

Please forward your application documents to Franziska Steyer-Beerman (HR) via e-mail to 

franziska(at)vrvis.at

For a more detailed description, please refer to the attached pdf or to our website