Ευκαιρίες εργασίας, μεταπτυχιακών και διδακτορικών σπουδών

Transcription

1 Ευκαιρίες εργασίας, μεταπτυχιακών και διδακτορικών σπουδών

2 Περιεχόμενα Εισαγωγή... 3 PhD Studentship, High-level vision, Bangor University, UK... 4 PhD position in Computer Vision and Machine Learning in Queen Mary, University of London... 7 Ph.D. Studentships in Computational Neuroscience at the ISRC, University of Ulster, UK... 9 PhD positions in speech/signal processing/control theory at University of Memphis, USA PhD studentships in Neuroinformatics and Computational Neuroscience, University of Edinburgh, UK PhD position: Complex Dynamical Systems / Cognitive System Theory, University of Frankfurt, Allemagne IGR en développement d interfaces en sciences du comportement, URECA- Université Lille IR en développement d'applications, Labex ASLAN, Lyon CDD, Réalisation d'un outil d'aide à la communication sur ipad, Ecole Nationale Supérieure de Cognitique de Bordeaux

3 Εισαγωγή Παρακάτω θα βρείτε ευκαιρίες για μεταπτυχιακά και διδακτορικά όσο και θέσεις εργασίας σε διάφορες περιοχές, γνωστικές και γεωγραφικές. Οι περισσότερες είναι στα αγγλικά, ωστόσο στο τέλος υπάρχουν και στα γαλλικά. Ο κ. Ι. Κανέλλος μας προώθησε τις παρακάτω εργασίες ώστε να μπορεί να τις δει ο κάθε ενδιαφερόμενος. 3

4 PhD Studentship, High-level vision, Bangor University, UK De : Charles Leek <pss034@bangor.ac.uk> Closing Date: March 4th 2013 Applications are invited for a three-year fully-funded PhD studentship in the School of Psychology, Bangor University, Bangor UK under the supervision of Professor Charles Leek. The studentship is available from October 1st 2013 (or as soon as possible thereafter). The studentship includes payment of UK / EU level tuition fees, a maintenance allowance of approximately  13,000 and an annual research allowance of  750. Established in 1963, the School of Psychology is one of the oldest schools of psychology in the UK. This year marks the 50 golden years of teaching, research and training in the field of psychology and neuroscience. In the latest Time league table (Times Good University Guide 2013) the School was ranked joint 2nd for Teaching (with Oxford) and joint 7th for Research Quality across the entire UK. The School offers a challenging and rewarding, environment for PhD study. The School is equipped with state-of-the-art research facilities in cognitive and clinical neuroscience including a 3T MRI scanner, high-density ERP, movement labs and a dedicated neuropsychology patient panel that maintains close links with local hospitals and neurology services for access to clinical populations. Project Description The goal of the PhD project will be to develop a series of experiments using eye tracking and ERP measures to study the time course of object recognition in human vision. The ability of the human visual system to perceive and represent the shapes of three-dimensional objects underpins much of our everyday activities. Current theories diverge in the claims they make about how this is accomplished, how object constancy is achieved, and how shape is represented. Recent work in our lab has begun to elucidate the structure and organisation of the representations that mediate object recognition using psychophysical (e.g., Leek et al., 2005 â JEP: HPP) and eye tracking methods (e.g., Leek et al., 2012 â Journal of Vision). For example, we have shown recently that eye tracking can be used to study the way in which the visual system acquires information about object shape during perception. A 4

5 key issue that remains to the explored concerns the time course involved in computing perceptual representations of shape, and how the speed of processing is modulated by stereo information. The project would combine eye tracking and ERP methodology. The proposed ERP studies will also be the first to explicitly examine this issue by directly contrasting standard flat screen two-dimensional (2D) image presentation and 3D image presentation using stereo displays. This is a vitally important consideration, and a potentially major limitation of previous work on visual recognition. More details of the lab and publications are available on the lab webpage: International students are welcome to apply; however our studentships only cover fees at the UK/EU level. Shortlisted candidates will be interviewed. Informal enquiries about the project should be directed to Professor Charles Leek, and enquiries about the application process to Shanti Shanker. How to apply Applications for this studentship will be considered until 4th March Applicants are expected to have a first or upper second-class honours degree or equivalent in Psychology, and we would normally expect applicants to have completed an appropriate Masters degree. A research interest in cognitive neuroscience, human vision and object recognition are essential. No prior experience with eye tracking or EEG is required. In addition to the filling the application form and submitting required documentation, please upload a copy of your CV and a brief statement of research interest for this studentship. To apply please complete an online University postgraduate application form. Once completed, please confirm submission to s.shanker@bangor.ac.uk -- 5

6 Charles Leek PhD CPsychol AFBPsS Head of School & Professor of Cognitive Neuroscience Wolfson Centre for Clinical and Cognitive Neuroscience School of Psychology Bangor University, Bangor, Gwynedd, LL57 2AS, UK Tel: +44 (0) Fax: +44 (0) Webpage: 6

7 PhD position in Computer Vision and Machine Learning in Queen Mary, University of London De : "Ioannis (Yiannis) Patras" <i.patras@eecs.qmul.ac.uk> Applications are invited for a fully funded PhD Student to undertake research in the area of Computer Vision and Machine Learning. The position is supported by an EU project and falls in the general area of modeling and recognition of Human Actions in large video collections. The work will build on recent developments in Computer Vision and Machine Learning for learning human facial/body/hand gestures from few examples, with emphasis on transfer learning for cross-modality, cross-category and cross-view learning. Applicant The applicant should have - a degree (preferably MSc) in Computer Science or Electrical/Electronic Engineering - excellent problem solving and analytical skills. - Good programming skills and preferably experience with Matlab or C/C++. - Experience in one of the fields of Computer Vision and/or Machine Learning, and/or Statistical Pattern Recognition and/or Image processing. Preferably an MSc thesis in one of those areas. - Good mathematical background. The studentships cover both tuition fees and a stipend. The research will be supervised by Dr Ioannis Patras ( at School of Electronic Engineering and Computer Science, Queen Mary University of London. The school hosts one of the largest teams in Computer Vision in UK ( and For informal inquiries and for information on how to officially apply, please to Dr. Ioannis Patras (I.Patras@eecs.qmul.ac.uk): - your updated CV, 7

8 - title and abstract of your final project - academic transcript More info: Deadline for applications: 28th February Dr. Ioannis Patras School of Electronic Engineering and Computer Science Queen Mary, University of London Tel Fax:

9 Ph.D. Studentships in Computational Neuroscience at the ISRC, University of Ulster, UK De : "Wong-Lin, Kongfatt" <k.wong-lin@ulster.ac.uk> The Intelligent Systems Research Centre (ISRC) at the University of Ulster, UK, invites applications for 3-year Ph.D. studentships. The application process for the Ph.D. studentship is opened with a closing date for applications on the 8th March A list of studentships offered for the academic year and the projects details can be found at: The Computational Neuroscience Research Team (CNRT) at ISRC focuses on both fundamental brain and behavioural sciences, and their applications, especially in the area of clinical neuroscience ( Team/Home.html). The available Ph.D. projects for 2013 under the CNRT are: 1. Computational modelling and data analysis of neural development and related brain disorders. (With St. James Hospital, Dublin, Ireland) Supervisors: T. Martin McGinnity, KongFatt Wong-Lin, David Watson 2. The roles of non-neural astrocyte cells in emergent computation and brain disorders a new computational paradigm. (With Tufts University, USA) Supervisors: KongFatt Wong-Lin, Liam McDaid 3. Neural modelling of multiple neuromodulator interactions. Supervisors: KongFatt Wong-Lin, T. Martin McGinnity 4. Modelling the neurobiology of stress, anxiety and depression. Supervisors: KongFatt Wong-Lin, T. Martin McGinnity 5. B2B: Brain-to-brain Bidirectional coupling in social interactions and coordination. Supervisors: Scott Kelso, Damien Coyle 6. Investigating brain connectivity changes in Alzheimer s diseases using fmri and DTI methods. (With Trinity College Institute of Neuroscience, Dublin, Ireland) Supervisors: Damien Coyle, Xingfeng Li, Arun Bodke 7. Investigating Alzheimer s disease using large scale models of mammalian thalamocortical networks. Supervisors: Liam Maguire, Damien Coyle 8. Developing of fibre tracking algorithm with application to ageing brain. (With Trinity College Institute of Neuroscience, Dublin, Ireland) Supervisors: T. Martin McGinnity, Sonya Coleman Other projects related to neural computation can also be found at the above website, under other ISRC research teams. 9

10 All studentships, which are highly competitive, will start in September 2013, and include tuition fees and an annual maintenance allowance of approximately 14,000 for EU students, and for non-eu students. If you wish to apply for a studentship, please follow the instructions at: Unless indicated, successful students will be based primarily at the ISRC with opportunities to interact with other related ISRC research teams (e.g. Bio-Inspired and Neuro-Engineering, Brain- Computer Interfacing and Assistive Technologies, Cognitive Robotics, Nanoelectronics), and also opportunities for spin-outs. The ISRC is situated in the city of Derry~Londonderry, which has received the City of Culture 2013 award. Please note that some studentship (DEL Awards) have restrictions on residence eligibility see guidance notes for details. For further information, please contact the ISRC Research Director, Professor Martin McGinnity, attm.mcginnity@ulster.ac.uk and/or the corresponding project supervisors. -- Dr. KongFatt Wong-Lin Computational Neuroscience Research Team Intelligent Systems Research Centre University of Ulster 10

11 PhD positions in speech/signal processing/control theory at University of Memphis, USA De : Bonny Banerjee <bonnybanerjee@yahoo.com> Fully-funded Ph.D. positions available in speech/signal processing, neural networks, machine learning, and control theory Multiple fully-funded Ph.D. positions are available at the Computational Intelligence Laboratory (CIL). The CIL is affiliated with the Department of Electrical & Computer Engineering (EECE) and the interdisciplinary Institute for Intelligent Systems (IIS). A Ph.D. student will work as a research assistant at CIL, funded by a prestigious U.S. National Science Foundation (NSF) grant, which will provide full financial support that includes tuition fees and a monthly stipend sufficient for a reasonable lifestyle in Memphis. Obtaining a Ph.D. typically requires 4-5 years. Ph.D. students will work under the supervision of Dr. Bonny Banerjee. There will be the opportunity to collaborate with researchers at the School of Communication Sciences & Disorders, IIS, and the EECE department at the University of Memphis, as well as with researchers external to the university. Research will involve investigating computational approaches to answering fundamental questions in visual and auditory perception, such as, how do we learn the norms or invariances from saliencies or surprises in unstructured data. Our current focus is on developing a multilayered neural network model for learning invariances across multiple spatial and temporal abstractions. This research exists at the confluence of artificial intelligence, machine learning, cognitive science, and computational neuroscience. The NSF grant funds research in applying this model for automatically tuning cochlear implants for the hearing impaired. Details are available in Dr. Banerjee s website. An ideal candidate will possess the following: 1. Background in and strong motivation to pursue research in speech/signal processing, neural networks, machine learning or control theory, with applications to interesting real world problems. 2. Masters degree in Electrical & Computer Engineering, Computer Science, Physics, Mathematics, Statistics, or in a related computational area. Exceptional candidates with a Bachelors degree will also be considered. 3. Strong mathematical and programming (Matlab) skills. 4. Some experience in research, such as, working on research projects, coauthoring journal/conference papers, etc. 11

12 Informal enquiries should be sent to Dr. Bonny Banerjee For formal application procedure, please visit the admissions webpage (see below). Important Links: Dr. Bonny Banerjee s research University of Memphis Department of Electrical & Computer Engineering Institute for Intelligent Systems Admissions Ph.D. degree requirements 12

13 PhD studentships in Neuroinformatics and Computational Neuroscience, University of Edinburgh, UK De : "James A. Bednar" <jbednar@inf.ed.ac.uk> Second-round applications for fully-funded PhD studentships at the University of Edinburgh Doctoral Training Centre (DTC) in Neuroinformatics and Computational Neuroscience are now being considered. The DTC is a world-class centre for research at the interface between neuroscience and the engineering, computational, and physical sciences. Our four-year programme is ideal for students with strong computational and analytical skills who want to employ cutting-edge methodology to advance research in neuroscience and related fields, or to apply ideas from neuroscience to computational problems. The first year consists of courses in neuroscience and informatics, as well as lab projects. This is followed by a three-year PhD project done in collaboration with one of the many departments and institutes affiliated with the DTC. Current DTC PhD topics fall into five main areas: * Computational neuroscience: Using analytical and computational models, potentially supplemented with experiments, to gain quantitative understanding of the nervous system. Many projects focus on the development and function of sensory and motor systems in animals, including neural coding, learning, and memory. * Biomedical imaging algorithms and tools: Using advanced data analysis techniques, such as machine learning and Bayesian approaches, for imaging-based diagnosis and research. * Cognitive science: Studying human cognitive processes and analysing them in computational terms. * Neuromorphic engineering: Using insights from neuroscience to help build better hardware, such as neuromorphic VLSI circuits and robots that perform robustly under natural conditions. * Software systems and applications: Using discoveries from 13

14 neuroscience to develop software that can handle real-world data, such as video, audio, or speech. Other related areas of research are also encouraged. Edinburgh has a large, world-class research community in these areas and leads the UK in creating a coherent programme in neuroinformatics and computational neuroscience. The University of Edinburgh was ranked 21st worldwide in the latest QS World University Rankings, and the School of Informatics is the largest and highest-ranked computing department in the UK. Edinburgh has often been voted 'best place to live in Britain', and has many exciting cultural and student activities. Students with a strong background in computer science, mathematics, physics, or engineering are particularly encouraged to apply. Highly motivated students with other backgrounds will also be considered. Studentships include a stipend of 14,385-17,782 UK pounds/year along with research and travel costs. They are available to UK or other EU citizens who have been residing in the UK for the past three years (whether for work or for education); see our web site for full details. Other applicants can be considered if they provide their own funding, typically via a scholarship from their country of origin. Applications are now being accepted for September 2013 entry. Applications must be complete by 30th March 2013 to receive full consideration for the remaining studentships, and will be considered for interviews in April. Further information and application forms can be obtained from: 14

15 PhD position: Complex Dynamical Systems / Cognitive System Theory, University of Frankfurt, Allemagne De : "Prof. Claudius Gros" <gros@itp.uni-frankfurt.de> Open PhD-position : Complex Dynamical Systems / Cognitive System Theory At the Institute for Theoretical Physics, University of Frankfurt am Main, Field(s): complex systems, cognitive systems, neural networks, dynamical system theory Application deadline: March 15, 2013 Supervisor: Prof. Claudius Gros cgr@itp.uni-frankfurt.de Address: Institute for Theoretical Physics, Goethe University Frankfurt, Job description: Applications are invited for a fully funded PhD position at the Institute for Theoretical Physics, Frankfurt University. The general focus of the research group is the development of the theory of complex and cognitive systems: generating principles, functionality and control. The focus of the work will be on models for the self-generated brain dynamics including generating functionals and working principles for the sensorimotor loop. The work will include analytical investigations and numerical simulations of neural networks, within the framework of dynamical system theory. The candidates should have a Diploma/Master in physics with an excellent academic track record and good computational skills, preferable with JAVA or C++. Experience or strong interest in the fields of complex systems, dynamical system theory and/or artificial or biological cognitive systems is expected. The degree of scientific research experience is expected to 15

16 be on the level of a German Diploma/Master. The appointments will start summer 2013, for up to three years. Interested applicants should submit a curriculum vitae, a list of publications and arrange for two letters of reference to be sent to the address below. Prof. Dr. C. Gros Institute for Theoretical Physics Goethe University Frankfurt Max-von-Laue-Str Frankfurt am Main Germany cgr@itp.uni-frankfurt.de -- Prof. Dr. Claudius Gros +49 (0)

17 IGR en développement d interfaces en sciences du comportement, URECA-Université Lille 3 De : Yann Coello <yann.coello@univ-lille3.fr> Poste temps plein d'ingénieur de recherche Le laboratoire URECA-Université Lille3 recrute pour 12 mois un IGR en "Développement d interfaces et expérimentations en sciences du comportement" dans le cadre du projet EquipEx Innovation Research in the Digital and Interactive Visual Environments (IrDIVE, coordinateur Yann Coello). L'EquipEx Irdive est un environnement technologique de 1500m^2, totalement innovant, dédié aux Sciences et Cultures du visuel. Le(a) candidat(e) retenu(e) devra participer sur le plan technique et logiciel aux projets de recherche développés sur la plateforme IrDIVE Localisation : Bâtiment Imaginarium, Plaine Image-Tourcoing COMPETENCES ET CONNAISSANCES REQUISES Aider au développement et à la mise en oeuvre de la recherche dans le domaine des interfaces visuelles, des développements logiciels et des interactions gestuelles en environnement virtuel, de l'enregistrement des réponses comportementales et cérébrales en contexte expérimental. Pour les projets de développement ponctuels, mise en place du cahier des charges, des spécifications, choix des technologies à déployer, développement ou participation au développement informatique du projet, en relation étroite avec les chercheurs impliqués. Maintenir une veille sur les outils disponibles liés au domaine, diffuser ses connaissances parmi les communautés participant aux projets, et participer à l avancement des connaissances, Formation / diplômes : Doctorat, ingénieur ou équivalent. Le cursus du candidat lui aura conféré à la fois de fortes compétences en TIC, ainsi qu une ouverture avérée vers les SHS et sciences et neurosciences cognitives. Anglais courant requis Salaire envisagé : environ 1800 euros net Date de début de contrat : 1er mars

18 IR en développement d'applications, Labex ASLAN, Lyon De : Serge Heiden <slh@ens-lyon.fr> Le laboratoire d excellence ASLAN (Advanced Studies on Language Complexity), recrute un ingénieur de recherche correspondant au profil ci-dessous. La personne recrutée sera affectée au laboratoire ICAR (Interactions, Corpus, Apprentissages, Représentations) pour un contrat de 24 mois. POSTE DE DÉVELOPPEMENT D'APPLICATIONS POUR L'EXPLORATION DE CORPUS COMPLEXES DIACHRONIQUES, STRUCTURÉS ET ANNOTÉS PLATEFORME TXM L ingénieur recruté participera, en collaboration avec les membres de l'équipe d affectation, au développement de la plateforme TXM pour l analyse textométrique de corpus complexes structurés et annotés à de multiples paliers linguistiques ( Conditions de candidature : L appel est ouvert à tout-e candidat-e titulaire d un diplôme d ingénieur, de doctorat, de Master en informatique avec expérience, ou d un diplôme équivalent obtenu à l étranger. Les candidat-e-s sont invité-e-s à envoyer par courriel un Curriculum Vitae détaillé ainsi qu une lettre de motivation à l adresse : serge.heiden@ens-lyon.fr Conditions d emploi : La personne recrutée sera salariée de l Université de Lyon sur contrat à durée déterminée de 24 mois. La rémunération annuelle brute est de environ. Le lieu de travail sera l École Normale Supérieure de Lyon site Descartes (Lyon, 7ème arrondissement). Calendrier : - 30 avril 2013 : Date limite de candidature - Janvier-juin 2013 : Examen des candidatures au fur et à mesure de leur réception - Juin 2013 au plus tard : Décision finale - Automne 2013 au plus tard : Prise de fonction de la personne sélectionnée Merci de noter que le poste est à pourvoir le plus tôt possible et que par conséquent, les candidatures seront examinées au fur et à mesure de leur réception et pourront donner lieu à une décision de recrutement 18

19 anticipé par rapport aux dates «butoirs» mentionnées ci-dessus. Critères de sélection : Les critères de sélection sont : la qualité du dossier du candidat, son adéquation au profil ainsi que l apport que représentera la présence du candidat au sein de l équipe concernée. Pour plus d informations, consulter le site Internet d ASLAN ou envoyer un message à l adresse : aslan-dir@universite-lyon.fr PROFIL DÉTAILLÉ DÉVELOPPEMENT D'APPLICATIONS POUR L'EXPLORATION DE CORPUS COMPLEXES DIACHRONIQUES, STRUCTURÉS ET ANNOTÉS PLATEFORME TXM Contexte : Dans le cadre du Labex ASLAN, le laboratoire ICAR développe la plateforme TXM pour l analyse textométrique de corpus complexes structurés et annotés à de multiples paliers linguistiques. Initié en 2008 dans le cadre du projet ANR Textométrie, le logiciel TXM est diffusé en ligne depuis 2009 sous licence GNU GPLv3. Il est aujourd hui utilisé dans de nombreuses disciplines des sciences humaines en France et à l étranger. Par ses choix de conception, TXM est un outil accessible et utilisable très largement : il dispose d'une large gamme de formats d'imports dont les standards internationaux (XML & TEI), il est ouvert aux corpus de toutes langues (codables en Unicode) - y compris de langues peu décrites, il est robuste pour le traitement de données bruitées, et il présente des procédures d'analyse tant quantitatives que qualitatives pour des finalités de recherche. Mission : L ingénieur recruté participera, en collaboration avec les membres de l'équipe, aux chantiers de développement de TXM en vue d aborder notamment les terrains méthodologiques suivants : - Développement de traitements de corpus complexes dynamiques (enrichissement et affinement progressif des annotations au cours de l'analyse, analyse et édition collaboratives...) ; - Développement de la version portail de TXM pour la mise en ligne d'un portail d'éditions multifacettes (en lien avec le projet de la Base de 19

20 Français Médiéval) ; - Enrichissement des possibilités d'analyse sur corpus parallèles. Compétences requises : - Expérience en conception et développement Java open-source : Eclipse (ou Netbeans), SVN, Javadoc, etc. - Connaissance approfondie d un langage de script (Python, Groovy...) - Traitement XML (DOM/StAX, XSLT 2, CSS 2...) - Traitement relationnel (SGBDR, JDBC...) Compétences appréciées : - Développement pour Linux, Windows et Mac ainsi que J2EE (Tomcat ou Glassfish) - Frameworks Eclipse RCP ou GWT - Développement d'interfaces graphiques utilisateur - Développement de packages R - Expérience en développement C - Connaissance de la TEI (P5) Capacités personnelles : - Bonne maîtrise de l anglais, oral et écrit - Bonnes capacités relationnelles et attrait pour le travail d'équipe. 20

21 CDD, Réalisation d'un outil d'aide à la communication sur ipad, Ecole Nationale Supérieure de Cognitique de Bordeaux De : Véronique Lespinet-Najib <veronique.lespinet@ensc.fr> CDD 4 mois (Bordeaux) Réalisation d'un outil d'aide à la communication sur ipad Le but de ce travail est la réalisation, depuis la spécification jusqu'au développement complet, d'un outil d'aide à la communication à destination de personnes en situation d'handicap. Plus précisément, notre objectif est de réaliser un dispositif permettant à des personnes porteuses du syndrome d'angelman d'accéder à une communication orale minimale. Ce syndrome engendre des retards d'acquisition et de développement importants, parmi lesquels des problèmes d'élocutions qui réduisent très sévèrement ou interdisent totalement l'accès à la communication orale, la communication non verbale étant conservée. Actuellement, le principal outil de communication utilisé est le classeur de communication (classeur contenant des pictogrammes classés par catégories). Le but de ce projet est la réalisation d'une version numérique de tels classeurs sur tablettes Ipads. Une tablette est plus transportable, plus pérenne, plus facilement manipulable par les enfants Angelman (malgré des troubles moteurs) et plus attractive qu'un classeur traditionnel. Ce travail est réalisé en collaboration avec l'association Des Anges Pacôme les Autres ( qui accompagne les famille d'enfants Angelman et avec des professionnels intervenant auprès de cette population, notamment Madame Marine Salanon, orthophoniste intervenant au jardin d'enfants spécialisé Arc en ciel de Pessac. Environnement technique : - développement sur ios en Objective C, déploiement sur ipad Compétences attendues : - développement orienté objets - conception et ergonomie des interfaces - sensibilité à la question du handicap - aptitude à travailler en équipe, ainsi qu'auprès de familles et d'enfants confrontés au handicap 21

22 Lieu : - Ecole Nationale Supérieure de Cognitique de Bordeaux, équipe IMS - CIH Type de contrat : - CDD, rémunération sur la base du SMIC - prise de fonction : dès que possible - durée initiale de 4 mois Encadrement : - Véronique Lespinet-Najib, Maître de conférences en neuropsychologie à l'ensc - Pierre-Alexandre Favier, Maître de conférences en informatique à l'ensc Candidature : - adresser votre candidature (CV + lettre) pour obtention d'un entretien aux 2 encadrants avant le vendredi 22 février 2013 à : veronique.lespinet@ensc.fr et pfavier@ensc.fr 22