[Ieee_vis_open_positions] PostDoc / PhD-Candidate: Deep Learning for Image Analysis and Visualization - at VRVis, Austria

[Eduard Gröller]

*Postdoc/PhD candidate (f/m/d): Deep Learning for Image Analysis & Visualization*
[https://www.vrvis.at/ueber-uns/offene-stellen/deep-learning-for-image-analysis-and-visualization]

VRVis, Austria’s largest research institute for Visual Computing, is seeking a skilled and creative mind, who is keen on a combination of cutting-edge research in Deep Learning Solutions for Image Analysis and Visualization, to join our successful team of researchers. The position is located within the Biomedical Image Informatics Group at VRVis in Vienna, Austria, performing projects in the medical and industrial sector. We undertake our research in close collaboration with our company partners and the Computer Graphics Research Unit at TU Wien, i.e. combining scientific and industrial environments into a vibrant research ecosystem.

*Your responsibilities*

- Aim at developing novel machine learning - especially deep learning - based methods for image and data analytics and/or rendering solutions, i.e. help optimize the visualization and real-time analytics of time dependent 3D ultrasound data, on medical image analytics and acceleration of radiological workflows, as well as image analysis for manufacturing.

- Work in close collaboration with our industry and academic partners as you will be embedded in one of our ongoing research projects depending on your scientific profile and qualification.

- Enjoy working in an applied research environment, seeking both, high quality academic publications and the development of cutting-edge solutions for our industry partners working in real-world settings.

- Project management and acquisition tasks and/or supervision of students, as well as presentation and publication of your research results at scientific conferences and renowned journals could be tasked to you.

- Also, in case you do not yet own a PhD, there is the opportunity to pursue a PhD at TU Wien or another of our partner universities.

*What you will bring to the team*

- 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 programming skills in Python and experience in C++; additional coding skills are favorable

- Proven project experience with current state-of-the-art machine learning frameworks like TensorFlow or PyTorch

- Ability to work in an international and diverse team as well as independently

- High level of independent problem solving and creative thinking, coupled with a good team spirit

- Excellent communication skills, preferably English and German

*Nice to have*

- Familiarity with (medical) visualization, in particular volume rendering, volume segmentation, graphics and shader programming, and (medical) imaging in practical settings.

*What we offer in return*
- Open-ended contract, up to 40 hours per week
- Location: Vienna, Austria
- Office easily accessible via public transport
- Flexible working hours, home office possible
- Well-equipped workplace
- Supportive atmosphere in an inclusive team
- Possibility to travel to international conferences like CVPR, NeurIPS, Eurographics and/or IEEE VIS
- Salary according to collective labor agreement, IT-Kollektivvertrag, with overpay depending on qualification and previous professional experience

*Contact*
Please forward your application including your CV, motivational letter, recommendation letters/references to
Franziska Steyer-Beerman (HR) via fsb at vrvis.at by January 31, 2022 at the latest.

-- 
Eduard Groellermailto:groeller at cg.tuwien.ac.at
TU Wienhttp://www.cg.tuwien.ac.at/
(DVR: 0005886)
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