One or more fully funded  3-3.5 years Ph.D. positions are available in the new scientific data management lab at the Department of Computing, Imperial College, London, UK. The positions are available from April 1, 2015 or as soon as possible thereafter. The positions are within the general area of scientific data management. The group focuses on scientific data management and high impact interdisciplinary research, i.e., developing groundbreaking and novel data management techniques strongly motivated and used in other disciplines (examples of past research and demos are available here: http://wp.doc.ic.ac.uk/theinis/research/ and here http://wp.doc.ic.ac.uk/ theinis/demos/). Keywords: Scientific Data Management, Big Data, Distributed Indexing & Processing, Spatial Data, Spatial Indexing, Spatio-Temporal Indexing, High-dimensional Indexing/Clustering, In-Memory Indexing To apply you will need to have a strong background in computer science (M.Sc. or B.Sc. in Computer Science or very closely related) with very good grades (please check http://www3.imperial.ac.uk/ entryrequirements/graduate for entry requirements). Good knowledge of database management is desired, as are implementation skills. Preference will be given to applicants with publications in the relevant areas. You must have excellent communication skills and prioritise work to meet deadlines. All applicants must be fluent in spoken and written English. More information about the position is available here: http://wp.doc.ic.ac.uk/ theinis/jobs To apply, you should send a message including the material listed below to t.heinis@imperial.ac.uk: 1) CV (including documentation of English proficiency, e.g., TOEFL, Cambridge certificates) 2) Diplomas and grade transcripts for bachelor's studies (and master's where available) 3) Contact information for 2 references who have agreed to speak about you, your work, and your potential (will only be contacted after initial interview) 4) Motivation letter outlining research experience and ideally also sketching research ideas 5) PDFs of relevant publications (if applicable) About Imperial: Imperial College is first class address to pursue excellent, high impact research. Imperial College consistently ranks among the top 5 schools in the world (Times Higher Education & QS rankings). The Department of Computing is also a leading department of Computer Science among UK Universities. It has consistently been awarded the highest research rating (5*) in Research Assessment Exercises (RAE), coming 2nd in the 2008 RAE, and was rated as â?oExcellentâ? in the previous national assessment of teaching quality. About London: Noisy, vibrant and truly multicultural, London is a megalopolis of people, ideas and frenetic energy. The capital and largest city of both the United Kingdom and of England, it is also the largest city in Western Europe and the European Union. Situated on the River Thames, London is an international capital of culture, music, education, fashion, politics, finance and trade which offers ample activities (besides research that is) for every interest, be it culture, sport events, shopping and clubbing.
Senin, 15 Desember 2014
Ph.D. Positions (fully funded) in Big Scientific Data at Imperial College
5 PhD positions on Question Answering in 4 EU countries; info event 21 Jan @ Bonn; apply by Feb
WDAqua (Answering Questions using Web Data), a Marie SkÅ,odowska-Curie International Training Network (ITN), is seeking 15 highly skilled PhD candidates. http://www.iai.uni-bonn.de/~langec/wdaqua/ == Essential Facts == PhD students in WDAqua will spend 3 years working at one of 6 research institutions in Europe (France, Germany, Greece, UK), will participate in an outstanding web science and data science training programme, and will have the chance to visit other of these organisations plus further application partners. The gross monthly salary (including social security, before taxes) is 3,110 â,¬ (adjusted depending on the country of employment) plus a mobility allowance of 600 â,¬/month and, if applicable, a family allowance of 500 â,¬/month. == Timeline == 21 January 2015: information event in Bonn, Germany (exact schedule to be announced) February 2015: application deadline (for exact dates, see the partnersâ?T specific job postings) March 2015: first job offers made to successful applicants July 2015â?"June 2018: typical duration of a PhD in WDAqua == Background == Smart infrastructures and citizensâ?T participation in the digital society are increasingly data-driven. Sharing, connecting, managing, analysing and understanding data on the Web will enable better services for citizens, communities and industry. However, turning web data into successful services for the public and private sector requires skilled web and data scientists, and it still requires further research. WDAqua aims at advancing the state of the art by intertwining training, research and innovation efforts, centred around data-driven question answering. Question answering is immediately useful to a wide audience of end users, and we will demonstrate this in settings including e-commerce, public sector information, publishing and smart cities. Steps to answering a question are (1) understanding a spoken question, (2) analysing the questionâ?Ts text, (3) finding data to answer the question, and (4) presenting the answer(s). Every individual research project in WDAqua co! nnects at least two of these steps. == Partners and Projects == Further details to be found on the homepage: http://www.iai.uni-bonn.de/~ langec/wdaqua/ University of Bonn, Germany 3 positions (one of them with a dual degree with Saint-Ã?tienne) Topics: linked data publishing, data quality assessment, data cleaning, federated queries University of Athens, Greece 2 positions Topics: dataset alignment and merging, user interaction, interactive disambiguation Université Jean Monnet Saint-Ã?tienne, France 3 positions (two of them with dual degrees with Bonn) Topics: provenance, trust, link discovery, data dynamicity and evolution, named entity recognition, disambiguation, reasoning Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Germany 2 positions (PhD awarded by the University of Bonn, one position with a dual degree with Saint-Ã?tienne) Topics: cloud computing, plugin architecture, voice input, natural language processing University of Southampton, UK 3 positions Topics: visualisation, verbalisation, natural language synthesis, interaction flows, information discovery Open Data Institute, UK 2 positions (PhD awarded by the University of Southampton) Topics: visualisation, verbalisation, data licensing, pricing of services, privacy Partner organisations (where PhD students may spend secondments): * Antidot, France * ATC Innovation Lab, Greece * Data Publica, France * Fundacio Barcelona Media/Yahoo Labs, Spain * Unister Research & Development, Germany * Wolters Kluwer Strategy and Innovation, Germany == How to apply == The individual project partners make individual, specific job postings (accessible from http://www.iai.uni-bonn.de/~ langec/wdaqua/). Candidates apply for individual jobs, with individual organisations, as listed above. The ideal candidate must not have resided for more than 12 months in the country of their employment in the 3 years before starting to work. He or she holds a degree in computer science or a related field and is able to combine theory and practice in her/his work. Fluent English communication and a passion for developing modern software solutions (e.g. in Java/Scala, JavaScript) are fundamental requirements. Command of the language of the country of employment is a plus but not required. The candidate should have experience and commitment to work in teams and on the forefront of research in one of the following fields: * semantic web technologies and linked data * knowledge representations and ontology engineering * software engineering and modern application development * database technologies and data integration * HCI and user interface design for Web content * data analytics Application deadlines will be in February; each organisation will define a specific date. You will need to submit a CV, university transcripts, a motivation letter including a short research plan targeted to one of the above projects, two letters of recommendation and English writing sample (e.g. prior publication or master thesis excerpt). The individual organisations will announce specific requirements and guidelines. == Questions? == The information event on 21 January is a good opportunity to ask questions. You may also, at any time, email or phone Christoph Lange WDAqua assistant coordinator langec@cs.uni-bonn.de Phone +49 2241 14-2428
Post-doc position in Neuroscience/Psychology available in Singapore
Postdoctoral Fellow in Neuroscience/Psychology
The Cognitive Engineering Lab of Singapore Institute for Neurotechnology
(SINAPSE) is seeking to appoint a Research Fellow/Scientist for a period 2 years;
position to be filled as of March 1, 2015 or sooner if it is filled).
Contact person
Prof. Anastasios (Tassos) Bezerianos, Cognitive Engineerng Lab, SINAPSE, National
University of Singapore (NUS), Email: lsiba@nus.edu.sg, phone: +65-66013054,
Research Topic
The project examines the feasibility of cognitive training in augmenting brain
performance. We are looking for a research fellow who is interested in developing
and (or) employing neuroscience/psychology training protocols and advanced
multimodal neuroimaging techniques to understand the training and transfer
effect on the brain plasticity.
Scientific profile
Recent Ph.D. degree in neuroscience/psychology related project
(preferably in cognitive training);
Solid programming skills; the project involves programming in Matlab and
other programming tools (E-prime);
Knowledge in multivariate statistical analysis is necessary.
Multimodal neuroimaging (fMRI/ EEG) background is preferable.
Personal profile
Good communication and English writing skills is essential;
Interdisciplinary communication and team competence;
Creative and highly self-motivated.
If you are interested in the job, please send applications via email to Prof. Tassos
Bezerianos (lsiba@nus.edu.sg), including:
Cover letter (with research interests)
Complete CV including full education (preferably list the theses’ titles and
abstracts), lists of papers, projects;
Names and email address of at least two referees;
Langganan:
Postingan (Atom)
