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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 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 | 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 | ||
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| techniques. This is also related to our research on content characterization where we mixed automated characterization techniques and knowledge management and discovery techniques. | 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 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). | 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 Collections. The project focuses on the issues of high performance, distributed and parallel computation in the process of multi-modal information indexing and content abstraction. The first PhD topic is dedicated to distributed data processing and indexing, while 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 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 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 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 == | == Requirements == | ||
| - | //**PhD position #1**// (distributed data indexing)\\ | + | * Completed PhD in Computer Science or Applied Math with strong CS background. |
| - | * 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 until end of 2013. 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 | ||