News Archives

CFP: 1st IEEE Workshop on Visual Analysis Beyond Semantics (CVPR13)

CALL FOR PAPERS
1st IEEE Workshop on Visual Analysis Beyond Semantics

28 June 2013

CVPR2013, Portland, Oregon, USA

https://sites.google.com/site/visualanalysisbeyondsemantics/

ABOUT
———
Can we model high-level visual properties such as image quality, memorability and photographic style? Can we leverage large-scale datasets to mitigate the intrinsic uncertainty of these properties? And most importantly, can we successfully employ such models in applications for multimodal classification, retrieval and recommendation?
This workshop seeks to stimulate and inform researchers into tackling the next level of problems in this exciting area of research that we call visual analysis beyond semantics (VABS). The workshop itself is motivated from two directions:

1. While still in its nascent stage, research into computational models for visual analysis beyond semantics have already shown great potential and interesting results. However, as several recent papers published in latest CVPR and ICCV show, the techniques currently employed are mainly derived from content understanding (analysis pipelines involving SIFT, BOV and large-margin classifiers). Most recent and advanced computer vision/machine learning techniques like visual attributes, recommendation, implicit feedback, etc. are completely neglected. Moreover, current approaches are not leveraging multimodal information (visual and textual data).

2.VABS focuses on non-factual and uncertain information related to personal preferences, tastes and opinions. As a consequence, research in this novel field touches many aspects of learning, vision, cognitive science and perception. For this very reason, we believe that CVPR is the perfect venue to find and bring together such a heterogeneous and complementary set of competences.

TOPICS
———
Some specific areas of interest include, but are not limited to:

* analysis of image attractiveness ( high- and low-level image quality assessment)
* face analysis and aesthetics
* image and text memorability
* image and visual text understanding
* visual attributes for analysis beyond semantics
* multimodal/multimedia benchmarks
* visual style and affordances

SUBMISSION
—————–
The maximum paper length is 8 pages. The workshop paper format guidelines are the same as the Main Conference papers.
Submissions will be rejected without review if they: contain more than 8 pages, violate the double-blind policy or violate the dual-submission policy.

DATES
——–
Submission: March 30th, 2013 11:59pm. EST
Notification: May 3rd, 2013
Camera ready: May 17th, 2013
Workshop: June 28th, 2013

IMPORTANT DATES
————————-
Submission: March 30th, 2013 11:59pm. EST
Notification: May 3rd, 2013
Camera ready: May 17th, 2013
Workshop: June 28th, 2013

ORGANIZERS
————–
Luca Marchesotti, Xerox XRCE
Aude Oliva, MIT, CSAIL

COMMITTE
————–
Alexander Berg, Stony Brooks
Teofilo Campos, University of Surrey
Christel Chamaret, Technicolor
Serge Belongie, UCSD
Alessio Del Bue, IIT
Edward Gibson, MIT
Derek Hoiem, UIUC
Diane Larlus, Xerox Research Centre Europe Naila Murray, Xerox Research Centre Europe Devi Parikh, Virginia Tech Florent Perronnin, Xerox Research Centre Europe Hanspeter Pfister, Harvard Nicu Sebe, University of Trento Antonio Torralba, MIT Joost Van de Weijer, UAB Maria Vanrell, CVC Barcelona

KEYNOTE SPEAKERS
————————
Tamara Berg, Stony Brooks
Kristen Grauman, University of Texas
Alexei Efros, CMU
David Forsyth, UIUC
Aaron Hertzmann, University of Toronto
James Wang, Penn State

CAP 2013: 10 days before the deadline

CAP 2013

CAP is a French conference on Machine Learning.
July 3-5 2013
Lille
http://pfia2013.univ-lille1.fr/doku.php?id=fr:cap

paper submission deadline: April 1st
https://www.easychair.org/conferences/?conf=cap2013

You can submit in English!

CAP tutorials and lectures will be given by:
– Antoine Bordes
– Radu Patrice Horaud

Accepted papers will be publicly available on open archive (provided that authors consent). CAP is organized within the AI french platform with other conferences (Planning and sequential learning; Agent based systems; knowledge representation;…)

—————
Philippe Preux
Marc Tommasi

CALL FOR PARTICIPATION – IbPRIA 2013

CALL FOR PARTICIPATION
************************************
IbPRIA 2013 – 6th Iberian Conference on Pattern Recognition and Image Analysis Madeira, Portugal June 4-7, 2013

http://www.ibpria.org/2013

The Iberian Conference on Pattern Recognition and Image Analysis
(IbPRIA) is an international event co-organised every two years, by the Portuguese and Spanish Associations for Pattern Recognition.

For this edition, the conference venue will be the outstanding Pestana Casino Park Hotel, part of the most emblematic tourist complex of Madeira Island.

Further information can be found on the conference website:
http://www.ibpria.org/2013

PROGRAM OF THE CONFERENCE:
**********************************************
We are very pleased to announce that invited speakers Prof. J.K, Aggarwal, Prof. Joachim M. Buhmann and Prof. Fernando Lopes da Silva will be giving talks at IbPRIA 2013:

Prof. J.K. Aggarwal (University of Texas, USA) Human Activity Recognition

Prof. Joachim M. Buhmann (ETH Zurich, Switzerland) Big Data: where is the information?

Prof. Fernando Lopes da Silva, (University of Amsterdam, The Netherlands) Analysis and modeling of brain signals dynamics: some insights and many queries

Apart from the invited speakers, the programme will mainly consist of oral and poster presentations given by authors of accepted papers. A preliminary program can be found here:
http://www.ibpria.org/2013/?page=preliminaryprogram

In addition, two tutorials and two special sessions will be held at IbPRIA 2013:
http://www.ibpria.org/2013/?page=tuts
http://www.ibpria.org/2013/?page=spsessions

REGISTRATION:
*********************
Full registration includes: conference sessions, proceedings, lunches, coffee breaks and conference dinner.
Student registration includes: conference sessions, proceedings, lunches and coffee‐breaks. Conference dinner is not included.
For AERFAI/APRP members tutorial registration is free of charge.

Discounts for early registration is open to 25 of March 2013:
https://pco.abreu.pt/CLIENTES/abreu/formularios/form_9003509078.php

ORGANISATION:
**********************
General Chairs :
João M. Sanches , Instituto Superior Técnico, Universidade Técnica de Lisboa, Portugal Luisa Micó, University of Alicante, Spain

Local Chair:
Jaime S. Cardoso, INESC TEC and Faculty of Engineering of University of Porto, Portugal

Local Committee:
Pedro Quelhas, INEB and Faculty of Engineering of University of Porto, Portugal Luis F. Teixeira, Faculty of Engineering of University of Porto, Portugal Lucian Ciobanu, INESC TEC, Portugal Ines Domingues , INESC TEC and Faculty of Engineering of University of Porto, Portugal

Co-Chairs Area 1. Computer Vision:
Filiberto Pla, University Jaume I, Spain Majid Mirmehdi, University of Bristol, United Kingdom

Co-Chairs Area 2. Pattern Recognition and Machine Learning Nuno Vasconcelos, University of California, San Diego, USA J. K. Aggarwal, University of Texas, USA

Co-Chairs Area 3. Image and Signal Processing José Príncipe, University of Florida, USA Mario Figueiredo, Universidade Técnica de Lisboa, Portugal

Co-Chairs Area 4: Applications
Aurélio Campilho, University of Porto, Portugal Jelena Kovacevic, Carnegie Mellon University, USA

ACML-2013 (5th Asian Conference on Machine Learning), Call for Workshop Proposals

————-
Call for Workshop Proposals

5th Asian Conference on Machine Learning, http://acml2013.conference.nicta.com.au/
Canberra, Australia
————-

The 5th Asian Conference on Machine Learning invites proposals for workshops to be held on Wed 13 Nov, 2013, at the Australian National University, Canberra, Australia. The conference aims at providing a leading international forum for researchers in machine learning and related fields to share their new results, ideas and discuss emerging topics. Submissions from outside the Asia-Pacific region is also highly encouraged.

Workshop proposals that explore the application of machine learning methods to real-world problems are preferred. Of particular interest is exploratory research that describes novel learning tasks and applications requiring non-standard techniques. Submissions that demonstrate both theoretical and empirical rigor are especially encouraged.

Workshop proposal should contain the following within 2 pages, and submitted via email in PDF format to the Workshop Chair lexing.xie@anu.edu.au.

• Title and specific goals
• Specific topics to be addressed
• Relevance and significance of this workshop to the main conference • A history of the workshop, if not being offered for the first time • Invited speaker(s) for the workshop, and whether they have been contacted • Estimated paper submission volume and paper acceptance rate • Expected attendance • Length – Full day or half day • A draft workshop call for contributions with:
• The names, affiliations, and email addresses of the workshop organizers, who should be experts in the related topics and preferably from multiple institutions
• The paper selection process
• A list of potential Program Committee members and their affiliations

Workshop proposals will be evaluated based on:
• Quality and level of detail of the proposal • Theme of the workshop and its relevance to the main conference • Overall balance of the conference workshop program

**Important dates**
Workshop proposals due 10 April, 2013
Acceptance notification 1 May, 2013
Workshop material/Website due Sept, 2013 ACML workshop Nov 13, 2013

ACML 2013: http://acml2013.conference.nicta.com.au/
General Co-chairs: Wray Buntine (NICTA and ANU) and Bob Williamson (ANU and NICTA)
PC Co-chairs: Tu Bao Ho (JAIST, Japan) and Cheng Soon Ong (NICTA)
Tutorial and Workshop Chair: Lexing Xie (ANU)
Publication Chair: Justin Domke (NICTA)

Workshop on Dynamics of Biological Networks, Edinburgh 25-26 June

Dynamics of biological networks workshop, Informatics Forum, University of Edinburgh, 25-26 June 2013

Workshop and registration website
http://homepages.inf.ed.ac.uk/mhennig/Networks2013/

Dynamical models of biological systems have received considerable attention in the machine learning and systems biology community. Two problems which have received particular attention are the inference of network structures from data (structure learning problem) and the identification of parameters and functional forms describing the dynamic of the systems given a networks structure. This workshop will bring together experts in dynamical systems, network inference and systems biology to define and address the outstanding challenges in the field, as well as presenting the latest research.

Confirmed Keynote Speakers
Dirk Husmeier (Glasgow)
Heinz Koeppl (ETH Zurich)
Olga Troyanskaya (Princeton)
Eric Xing (CMU)

Programme
The workshop registration will start at 11:30am on Tuesday, 25 June (followed by lunch at 12:00), and end at 3pm on Wednesday 26 June. There will be lunch available on both days, and a workshop dinner on 25. June. The programme will include invited keynote lectures, contributed talks and posters, and a discussion session.
Registration
Attendance of the workshop is free. At this point we invite contributed talks and posters. Please register and submit your abstract using the following website: Workshop Registration

Organisers
Guido Sanguinetti (Edinburgh)
Edoardo Airoldi (Harvard Statistics)
Matthias Hennig (Edinburgh)

Funding
BBSRC International Partnering Award between Edinburgh and Harvard (to G.S.)
The Scottish Informatics and Computer Science Alliance

IEEE Computational Intelligence Magazine: Special Issue on space systems and operations

IEEE Computational Intelligence Magazine (impact factor 3.368)
Special Issue on “Computational Intelligence for Space Systems and Operations”

Call for Papers

Background
Current and future space missions require an increasing level of autonomy or intelligence distributed across the space systems that have computing capabilities to implement intelligent functionalities for decision making. Such computational intelligence (CI) allows spacecraft (vehicles and robots alike) to respond rapidly to opportunistic events in deep space when remote operations are not practical due to communication latency, or to enable ground operators to optimize complex mission (e.g., involving multiple spacecraft) planning and scheduling processes, and so on. Typical CI approaches that can be used to improve spacecraft autonomy include mathematical, probabilistic and statistical modelling, control, automation and optimization, safety and reliability, system identification, monitoring and fault detection, etc. There are therefore strong motivations to develop these expertise areas for answering to the research challenges posed by astronautics and space engineering.

Scopes
This special issue invites papers that tackle space engineering problems using CI techniques, with particular interests in the following topics:
• Autonomous mission planning and scheduling for manned/unmanned single/multiple spacecraft
• Autonomous 2-dimensional or 3-dimensional path planning for space and planetary robots
• Autonomous fault detection, isolation and recovery
• Automated spacecraft vision-based feature tracking identification
• Complex space systems modelling and control
• Space software validation and verification
• Human-machine interface within space missions

Deadlines
Submission of Manuscripts: 1st May 2013
Notification of Acceptance: 1st June 2013
Submission of Camera-Ready Papers: 1st July 2013

Paper Submissions
The maximum length for the manuscript is typically 25 pages in single column with double-spacing, including figures and references. Authors of papers should specify in the first page of their manuscripts corresponding author’s contact and up to 5 keywords. Submission should be made via email to one of the guest editors below:

Guest Editors
Prof. Dr. Yang Gao
Surrey Space Centre, University of Surrey, UK
Email: yang.gao(at)surrey.ac.uk

Dr. Nicola Policella
ESOC, European Space Agency, Germany
Email: nicola.policella(at)esa.int

Prof. Dr. Frank Kirchner,
DFKI, Germany,
Email: frank.kirchner(at)dfki.de

More information
Visit the following webpage for further information: http://www.surrey.ac.uk/ssc/research/autonomy/ieee_isso/index.htm

Permanent position in ML in Lille

You have 10 days to apply for an assistant professor position in Lille.
Position description is available here (in french):
https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ListesPostesPublies/ANTEE/2013_1/0593561A/FOPC_0593561A_4102.pdf

You need to apply on this website before March 28th, but feel free to
contact us at any time for extra information:
https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/candidats.html
(in french. Beware, dealing with the website is the first selection step
🙂 )

Research:
Main topics: Machine Learning for big data, graphs and information
networks, sequential data.
Research Teams to which the assistant professor will be affiliated:
– Magnet (https://team.inria.fr/magnet)
– Sequel (http://sequel.lille.inria.fr).

Teaching:
The candidate will be already reasonably fluent in French or willing to
learn French as soon as possible.

Contact:
Marc Tommasi: marc.tommasi(at)inria.fr

Call for papers – Appel à communications – JFPDA’13

JFPDA is the French Workshop on Reinforcement Learning and
Decision Making. The event is mainly French-speaking, but not
only

—————–

JFPDA’13
8èmes Journées Francophones sur la Planification, la Décision et l’Apprentissage pour la conduite de systèmes, Lille, 01-02 juillet 2013.
http://pfia2013.univ-lille1.fr/doku.php?id=fr:jfpda

Présentation
Les Journées Francophones sur la Planification, la Décision et l’Apprentissage pour la conduite des systèmes (JFPDA) ont pour but de rassembler la communauté de chercheurs francophones travaillant sur les problèmes d’intelligence artificielle, d’apprentissage par renforcement, de programmation dynamique et de tous les domaines liés à la prise de décision séquentielle et à la planification. Les travaux présentés traitent aussi bien d’aspects purement théoriques que de l’application de ces méthodes à la conduite de systèmes virtuels (jeux, simulateurs) et réels (robots, drones). Ces journées sont aussi l’occasion de présenter des travaux en cours de la part de doctorants, postdoctorants et chercheurs confirmés dans un cadre laissant une large place à la discussion constructive et bienveillante.
Après Toulouse (2006), Grenoble (2007), Metz (2008), Paris (2009), Besançon (2010), Rouen (2011) et Nancy (2012), les journées se tiendront en 2013 à Lille, dans le cadre de la plate-forme AFIA.

Invitée
• Joelle Pineau (McGill University, Montréal, Canada)

Thèmes principaux
• Processus décisionnels de Markov, totalement ou partiellement observables, factorisés ou hiérarchiques, centralisés ou décentralisés
• Programmation Dynamique approchée (ADP), apprentissage par renforcement (RL)
• RL Bayésien, RL inverse, RL batch, RL multi-agents, RL multi-objectifs
• Convergence et bornes sur les performances des algorithmes RL/ADP
• Complexité en RL/ADP
• Apprentissage statistique, bornes PAC en RL/ADP
• Méthodes de Monte Carlo and quasi Monte Carlo
• Recherche directe de politiques, architectures acteur-critique
• Apprentissage de fonctions de valeurs, généralisation, représentations parcimonieuses, méthodes à base de noyaux en RL/ADP
• Planification classique, planification temporelle
• Replanification, planification en ligne
• Contrôle de systèmes continus ou discrets, réels ou simulés, mono ou multi-agents
• Approches d’inspiration biologique
• Applications et confrontations au monde réel.

Appel à communications
Les travaux soumis aux JFPDA peuvent prendre différentes formes :
• Résumé étendu (6 pages maximum, avec vocation à être présenté en poster),
• Article long original,
• Article long soumis ou accepté dans un atelier ou une conférence internationale.
Dans tous les cas, la version finale pourra être en anglais ou en français et devra comporter 16 pages au maximum dans le format donné ci-dessous. Les versions finales des papiers seront disponibles via des liens url qui seront communiqués par les auteurs eux-mêmes et rassemblés sur cette page web.
Le comité de programme proposera pour chaque travail soit une présentation en session orale (avec la possibilité de présenter en poster également si les auteurs le souhaitent), soit uniquement une présentation en session poster. Cela permettra à tous les auteurs de concourir pour le prix (symbolique) du meilleur poster (voir section “Prix du meilleur poster”).

Prix du meilleur poster
Un prix symbolique sera attribué au meilleur poster. Plus d’informations seront disponibles prochainement sur les modalités de l’attribution de ce prix.

Prix d’équipe
Un prix symbolique sera également attribué à l’équipe de recherche ayant le plus grand nombre de travaux acceptés aux JFPDA 2013 ! Les modalités de ce prix seront également précisées ultérieurement.

Dates clés
Date limite de soumission des papiers : 01/04/2013
Notification aux auteurs : 15/05/2013
Date limite de soumission de la version finale : 01/06/2013
Conférence : du 01/07/2013 au 02/07/2013

Soumission d’articles
Depuis le 01 mars 2013, vous pouvez soumettre vos travaux à l’adresse suivante:
https://www.easychair.org/conferences/?conf=jfpda2013
Le format de soumission est simple : on attend un fichier au format pdf exclusivement, idéalement créé avec pdfLaTeX et le style suivant.

Comité scientifique
Président du comité de programme
Rémi Munos

Membres du comité de programme
Marta Soare
Raphael Fonteneau
Michal Valko
Alessandro Lazaric

Autres membres du comité scientifique
(En cours de construction)
Olivier Buffet (Inria – Loria, Nancy)
Lucian Busoniu (CNRS – Université de Lorraine – CRAN, Nancy)
Olivier Cappé (CNRS – Telecom ParisTech, Paris)
Yann Chevaleyre (Université Paris Dauphine – LAMSADE, Paris)
Rémi Coulom (Université Lille 3 – Inria, Lille)
Boris Defourny (Princeton University, Princeton, USA)
Christos Dimitrakakis (Ecole Polytechnique Fédérale de Lausanne, Suisse)
Alain Dutech (Inria – Loria, Nancy)
Damien Ernst (Université de Liège, Belgique)
Patrick Fabiani (ONERA, Toulouse)
Humbert Fiorino (Université Joseph Fourier – LIG, Grenoble)
Aurélien Garivier (Université Paul Sabatier – IMT, Toulouse)
Matthieu Geist (SUPELEC, Metz)
Mohammad Ghavamzadeh (Inria, Lille)
Nathaniel Korda (Inria, Lille)
Guillaume Laurent (École Nationale Supérieure de Mécanique et des Microtechniques – FEMTO, Besançon)
Manuel Lopes (Inria, Bordeaux)
Francis Maes (Katholieke Universiteit Leuven, Belgique)
Odalric-Ambrym Maillard (Israel Institute of Technology, Haifa, Israel)
Laetitia Matignon (Université Claude Bernard Lyon 1 – LIRIS, Lyon)
Cyril Pain-Barre (Aix-Marseille Université – LSIS, Aix-en-Provence)
Olivier Pietquin (SUPELEC – CNRS – GeorgiaTech, Metz)
Joëlle Pineau (McGill University, Montréal, Canada)
Cédric Pralet (Onera – IRIT, Toulouse)
Philippe Preux (Université Lille 3 – LIFL – Inria, Lille)
Emmanuel Rachelson (ISAE, Toulouse)
Daniil Ryabko (Inria, Lille)
Régis Sabbadin (INRA, Toulouse)
Olivier Sigaud (Université Pierre et Marie Curie, Paris)
Balazs Szorenyi (Inria, Lille)
Florent Teichteil-Königsbuch (Onera, Toulouse)
Olivier Teytaud (Inria, Saclay)
Vincent Thomas (Université de Lorraine – Loria, Nancy)
Gérard Verfaillie (Onera, Toulouse)
Thierry Vidal (Ecole Nationale d’Ingénieurs de Tarbes)
Vincent Vidal (Onera, Toulouse)
Paul Weng (Université Pierre et Marie Curie – LIP6, Paris)
Bruno Zanuttini (Université de Caen Basse-Normandie – GREYC, Caen)

FGVC2 workshop at CVPR 2013

2nd Workshop on Fine-Grained Visual Categorization (FGVC^2)
In Conjunction with CVPR 2013

Call for Abstracts/Posters
PDF Version: http://fgvc.org/FGVC2_CallForPosters.pdf

OVERVIEW:
————
The purpose of this workshop is to bring together researchers to
explore visual recognition across the continuum between basic level
categorization (object recognition) and identification of individuals (face
recognition, biometrics) within a category population.

SCOPE:
———-
Topics of interest include the following:
• Novel datasets and data collection strategies for fine-grained categorization
• Appropriate error metrics for fine-grained categorization
• Embedding human experts’ knowledge into computational models
• Fine-grained categorization with humans in the loop
• Transfer-learning from known to novel subcategories. Zero/one-shot recognition
• Domain-specific techniques that generalize to various other domains
• Attribute-based techniques for fine-grained categorization
• Using taxonomies to improve fine-grained categorization
• Part-sharing models for categorization/recognition
• Unsupervised subcategory discovery
• Learning of discriminative features for fine-grained categorization
• Multimodal (e.g. combined audio/video) techniques for fine-grained
categorization
• Fine-grained categorization systems deployed in practice

Abstract/Poster Submission:
——————————-
We invite submission of 1.5-2 page extended abstracts (using the CVPR 2013
format) describing work in the domains suggested above or in closely-related
areas. Accepted submissions will be presented as posters at the workshop.
Authors may submit a draft of their poster as an optional third page. The
extended abstract and poster sketch should be submitted as a single PDF file
with no more than 3 pages. Reviewing of abstract submissions will be
double-blind. The purpose of this workshop is not as a venue for publication,
so much as a place to gather together those in the community working on or
interested in FGVC. Submissions of work which has been previously published,
including papers accepted to the main CVPR 2013 conference are allowed.

Abstract/Poster Submission Deadline: April 19, 2013
Notification of Acceptance: May 15, 2013
Workshop date: Friday, June 28, 2013

Submission Website: https://cmt.research.microsoft.com/FGVC2013/
FGVC2 Website: http://www.fgvc.org/

Workshop Organizers:
————————
• Ryan Farrell (ICSI, UC Berkeley)
• Steve Branson (Caltech)
• Neeraj Kumar (University of Washington)
• Anelia Angelova (NEC Labs America)
• Florent Perronnin (Xerox Research)

=============================================
| **Dataset Challenge**: As a part of the FGVC workshop, we will also be |
| conducting a fine-grained recognition competition, similar to the PASCAL |
| VOC and ImageNet challenges. The challenge dataset and details will be |
| distributed shortly in a separate call for participation. |
=============================================

Researcher position, Statistical Machine Translation – Xerox Grenoble, France

Researcher, Statistical Machine Translation

The Machine Learning for Document Access and Translation group of the Xerox Research Centre Europe conducts research in Statistical Machine Translation and Information Retrieval, Categorization and Clustering using advanced machine learning methods.

We are opening a position for a researcher with a background in Statistical Machine Translation to support our participation in the EU-funded project TransLectures (www.translectures.eu).

Required experience and qualifications:

– PhD in computer science or computational linguistics, with focus on
statistical methods
– Experience with Statistical Machine Translation.
– Good publication record and evidence of implementing systems.
– A good command of English, as well as open-mindedness and the will
to collaborate within a team.
– Acquaintance with Spoken Language Translation is a plus.

Preferred starting date: July 2013

Contract duration: 18 months

Application instructions

Please email your CV and covering letter, with message subject “Statistical Machine Translation Researcher” to xrce-candidates and to Nicola.Cancedda at xrce.xerox.com. Inquiries can be sent to Nicola.Cancedda at xrce.xerox.com.

XRCE is a highly innovative place and we strongly encourage publication and interaction with the scientific community.

Job announcement URL:

http://www-int.xrce.xerox.com/About-XRCE/Career-opportunities/Researcher-Statistical-Machine-Translation