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jobs-backup [2012/01/12 11:22]
jobs-backup [2013/02/07 14:01]
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-**January 2012** 
-The Viper group of the Department of Computer Science of the University of Geneva is seeking ​ 
-=== One Post-doctoral researcher in Information Retrieval and Machine Learning === 
-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. ​ 
-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). 
-== 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. 
-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. 
-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 
-== 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 
-== 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. 
-== Start date == 
-As soon as possible. 
-== Original link == 
-http://​viper.unige.ch/​doku.php/​jobs (updated information will be posted there) 
jobs-backup.txt · Last modified: 2013/02/07 14:01 (external edit)

Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion