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| - | **January 2012** | ||
| - | The Viper group of the Department of Computer Science of the University of Geneva is seeking | ||
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| - | === One Post-doctoral researcher in Information Retrieval and Machine Learning === | ||
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| - | The [[http://viper.unige.ch|Viper group on Multimedia Information Management]] (http://viper.unige.ch) is part of the Computer Vision and Multimedia Laboratory. The | ||
| - | Viper group initially specializes on visual information management and has now extended its activities on multimedia information management. This activity includes several complementary aspects along the chain of assisted content-based information management. We address the problem of content-based search and retrieval of multimedia data in relation with modern machine learning and data mining | ||
| - | techniques. This is also related to our research on content characterization where we mixed automated characterization techniques and knowledge management and discovery techniques. | ||
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| - | The Viper group is part of several national and European projects including the Swiss NCCR [[http://www.im2.ch|IM2]] (http://www.im2.ch) and the EU COST Action [[http://www.mumia-network.eu/|MUMIA]] (http://www.mumia-network.eu/). The group is now chairing the Technical Committee 12 of the International Association for Pattern | ||
| - | Recognition (IAPR-TC12, "Multimedia and Visual Information Systems" http://www.iapr-tc12.org). | ||
| - | It has co-organized the ACM International Conference on Image and Video Retrieval ([[http://www.civr2009.org|ACM-CIVR 2009]], http://www.civr2009.org) and the International Conference of the ACM-SIG on Information Retrieval in 2010 ([[http://www.sigir2010.org|ACM-SIGIR 2010]], http://www.sigir2010.org). | ||
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| - | == Topic == | ||
| - | The post-doctoral position is within the [[http://www.snf.ch|Swiss National Science Fundation]] (SNFS) NCCR [[http://www.im2.ch|IM2]], active until end of 2013. Our group is co-leading (with EPFL) the sub-project on Integrated Multimodal Processing. The candidate will have the opportunity to interact closely with all partners of the NCCR. | ||
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| - | The main focus of the post-doctoral position is on Machine Learning strategies applied to large-scale (Multimedia) Information Retrieval. Several PhD works are ongoing in the group on the topic and the successful post-doctoral candidate will closely collaborate with students and help in the guidance of their projects, while developing her/his own research. | ||
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| - | There will be many opportunities to get involved into teaching on related topics and/or basic computer science courses, given in the department. | ||
| - | |||
| - | == Requirements == | ||
| - | * Completed PhD in Computer Science or Applied Math with strong CS background. | ||
| - | * Experience with machine learning and/or information retrieval with a good publication record in a related topic; | ||
| - | * good knowledge of data indexing and machine learning strategies and optimization algorithms; | ||
| - | * Strong interest in parallel computation and algorithm complexity; | ||
| - | * Programming experiences in either C/C++, Java, Python, Matlab; | ||
| - | * Strong written and communication skills. Scientific representativity will be expected from the successful candidate; | ||
| - | * Fluent in English | ||
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| - | == More information == | ||
| - | The position is guaranteed until end of 2013. An extension is administratively feasible. | ||
| - | Information about the project and the Viper group at U Geneva: | ||
| - | *Prof. Stéphane Marchand-Maillet, stephane.marchand-maillet[at]unige.ch | ||
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| - | == Application == | ||
| - | Please send your complete application, including a curriculum vitae, a cover letter and two references at cvml-job-cui[at]unige.ch. Due to the expected large number of applications, candidates will be contacted only if selected for an interview. | ||
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| - | == Start date == | ||
| - | As soon as possible. | ||
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| - | == Original link == | ||
| - | http://viper.unige.ch/doku.php/jobs (updated information will be posted there) | ||