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-**April 2010**+**January 2012**
  
 The Viper group of the Department of Computer Science of the University of Geneva is seeking ​ The Viper group of the Department of Computer Science of the University of Geneva is seeking ​
  
-=== Two PhD Researchers on Distributed ​Information ​Indexing and Retrieval ===+=== One PhD Student 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 +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 group specializes on information ​mining, learning ​and retrieval. We address the problem of content-based ​modeling, ​search and retrieval of information ​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. ​
-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 NoE [[http://​www.petamedia.eu|Petamedia]] (http://​www.petamedia.eu). The group is now chairing the Technical Committee 12 of the International Association for Pattern+The 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). 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 is chairing ​the International Conference of the ACM-SIG on Information Retrieval in +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).
-2010 ([[http://​www.sigir2010.org|ACM-SIGIR 2010]], http://​www.sigir2010.org).+
  
-== Tasks == +== Topic == 
-The two positions are within ​the [[http://​www.snf.ch|Swiss National Science Fundation]] (SNFS) ​project ​for Large Scale Indexing and Retrieval of Multimedia CollectionsThe project ​focuses on the issues of high performance,​ distributed and parallel computation in the process of multi-modal information indexing and content abstractionThe first PhD topic is dedicated to distributed data processing and indexingwhile the second is centered around parallel machine learning and data-mining algorithms. Post-holders will be asked to provide new specifications of a Multimedia Information Retrieval system based on a complete state of the art of their respective domain as well on as an evaluation of the most promising techniques. The integration of their work into a single prototype is planned in a second phase of the project.+The doctoral position is receivinbg funding from the [[http://​www.snf.ch|Swiss National Science Fundation]] (SNFS) for 3 yearsThis is a collaborative ​project ​with the [[http://​www.idiap.ch|Idiap Institute]] (MartignyCH)
  
-The distributed environment required by this project will be provided by the Computer Science department ​of the University of Geneva ​(shared memory and cluster systems, see http://​spc.unige.ch/​computing_resources). We also have access to High Performance Computing resources through ​the Center for Advanced Modelling Science (CADMOS), which associates ​the Universities of Geneva ​and Lausanne ​with the Ecole Polytechnique Fédéral de Lausanne (EPFL) ​to develop High-Performance ​and High Productivity Computing.+The main focus of the PhD position is on Machine Learning strategies applied to large-scale ​(MultimediaInformation RetrievalSeveral PhD works are ongoing in the group on the topic and the successful candidate will also closely collaborate ​with them. 
 + 
 +There will be many opportunities ​to get involved into teaching on related topics ​and/or basic computer science courses, given in the department.
  
 == Requirements == == Requirements ==
-//**PhD position #1**// (distributed data indexing)\\ +  ​Completed ​MSc in Applied Maths or Computer Science. 
-  ​* MSc degree ​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; 
-  * Knowledge in approximate access structures (tree, hashing, embeddings,​...),​ databases (key-value storage) ​and distributed storage/concurrent access. +  * good knowledge of data indexing ​and machine learning ​strategies and optimization algorithms; 
-  * Programming experiences ​in C/C++, Java, Python, Parallel Programming Models (MPI, OpenMP, MapReduce, ...). +  * Strong interest in parallel computation and algorithm complexity; 
-  * Solid knowledge of software test methodologies. +  * Programming experiences in either C/C++, Java, Python, Matlab; 
-  * Strong written ​and communication skills. Oral presentations and publications of results are expected from the PhD candidate.  +  * Strong written and communication skills. ​Scientific representativity will be expected from the successful ​candidate;
-  * Fluent in English +
- +
-//**PhD position #2**// (parallel ​machine learning)\\ +
-  * MSc degree in Computer Science, Mathematics,​ Statistics or a closely related field. +
-  * Strong interest in knowledge discovery, machine learning, ​optimization algorithms. +
-  * Strong interest in parallel computation and algorithm complexity. +
-  * Programming experiences in either C/C++, Java, Python, Matlab+
-  * Knowledge of software test methodologies. +
-  * Strong written and communication skills. ​Oral presentations and publications of results are expected from the PhD candidate+
   * Fluent in English   * Fluent in English
  
 == More information == == More information ==
-Candidates are expected to complete the PhD within approx 4 years.\\+The position is guaranteed for 3 years starting asap. An extension is administratively feasible.
 Information about the project and the Viper group at U Geneva: Information about the project and the Viper group at U Geneva:
-  *Dr. Eric Bruno, eric.bruno[at]unige.ch 
   *Prof. Stéphane Marchand-Maillet,​ stephane.marchand-maillet[at]unige.ch   *Prof. Stéphane Marchand-Maillet,​ stephane.marchand-maillet[at]unige.ch
  
 == Application == == 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.+Please send your complete application,​ including a curriculum vitae, a cover letter and two references at stephane.marchand-maillet[at]unige.ch. Due to the expected large number of applications,​ candidates will be contacted only if selected for an interview.
  
 == Start date == == Start date ==
jobs-backup.txt · Last modified: 2013/02/07 14:01 (external edit)
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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