Hiring Several PostDocs and PhD Students in Computer Vision, Image Processing, and Machine Learning (Apologies for cross-postings.)
The Computer Vision Laboratory led by Prof.Dr. Radu Timofte, from the newly established Center for Artificial Intelligence and Data Science <https://www.uni-wuerzburg.de/caidas/home/>, University of Wurzburg, is looking for outstanding candidates to fill several computer vision and machine learning fully-funded postdoc and PhD positions <http://people.ee.ethz.ch/~timofter/jobs/OpenPositionsJMU.pdf>. Julius-Maximilians University of Würzburg (JMU), founded in 1402, is one of the leading institutions of higher education in Germany and well-known on the international stage for delivering research excellence with a global impact. The University of Würzburg is proud to be the home of outstanding researchers and fourteen Nobel Prize Laureates. Würzburg is a vibrant city in Bavaria, Germany’s economically strongest state and home base to many international companies. We look forward to welcoming you to the University of Würzburg! Computer Vision Laboratory and University of Würzburg in general are an exciting environment for research, for independent thinking. Prof. Radu Timofte’s team is highly international, with people from about 12 countries, and the members have already won awards at top conferences (ICCV, CVPR, ICRA, NIPS, ...), founded successful spinoffs, and/or collaborated with industry. Prof. Radu Timofte is a 2022 winner of the prestigious Humboldt Professorship for Artificial Intelligence Award. <https://www.humboldt-foundation.de/en/explore/newsroom/press-releases/top-international-scientists-to-strengthen-research-work-in-germany> Prof. Radu Timofte also leads the Augmented Perception Group <https://people.ee.ethz.ch/~timofter/> at ETH Zurich. Depending on the position, the successful candidate will focus on a subset of the following Research Topics: • deep learning • computational photography • domain translation • learned image/video compression • image/video super-resolution • learning paradigms • image/video understanding • augmented and mixed reality • edge inference and mobile AI The tasks will involve designing, developing, and testing novel ideas in cutting-edge research, as well as coordinating and conducting data collection for their evaluation. The successful candidate will conduct research on deep learning machines and a new cluster with hundreds of GPUs. The successful candidate will also collaborate with industry. Profile • Master's degree in computer science, electrical engineering, physics or applied mathematics/ statistics • Good programming knowledge and experience with Python / C++ / MATLAB • Interest, prior knowledge and experience in one or more of the following is a plus: computer vision, deep learning, machine learning, image processing • Enthusiasm for leading-edge research, team spirit, and capability of independent problem-solving • Fluent written and spoken English is a must. • Postdoc applicants are expected to have a strong track of published research, including top, high impact, journal (such as PAMI, IJCV, TIP, NEUCOM, JMLR, CVIU) or conference (such as ICCV, CVPR, ECCV, ICRA, NeurIPS, ICLR) papers. Timeline The positions are open immediately, fully funded, the salaries of the doctoral students and postdocs are competitive on the German scales TV-L E13 and E14, up to 60k euros per year, before tax. Typically a PhD takes ~4 years to complete and a PostDoc position is for at least 1 year. Applications will be reviewed on a rolling basis until all the positions are filled. The interviews are scheduled to start after 20.09.2021. Application Interested applicants should email asap their PDF documents (including CV, diplomas, transcripts of records, referees / recommendation letters, etc.) to Prof.Dr. Radu Timofte, radu.timo...@uni-wuerzburg.de or radu.timo...@vision.ee.ethz.ch
_______________________________________________ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai