Canadian AI, Graduate Student Symposium

. Friday, January 16, 2009
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GRADUATE STUDENT SYMPOSIUM
http://www.site.uottawa.ca/~caropres/CAI09stsymp/cai09stsymp.html

CALL FOR PAPERS – Deadline January 30th, 2009

AI 2009, the twenty-second Canadian Conference on Artificial Intelligence, invites graduate students to submit four-page extended abstracts of their thesis for possible inclusion in the AI 2009 Graduate Student Symposium.

The Symposium provides an opportunity for Master’s and PhD students to discuss and explore their research interests and career objectives with their peers and with a panel of established researchers in Artificial Intelligence, helping to develop a supportive community of scholars and a spirit of collaborative research.

The symposium will be a one-day pre-conference event, where students of accepted abstracts will be invited to give a presentation on their thesis work before a group of peers as well as a small team of expert AI researchers who would offer a critique of each presentation and provide support, advice, and mentoring. Each student may also be invited to participate in the poster session during the main conference. In addition, a small selection of the best student submissions will be invited to give a short talk during the main conference.

PhD and Master’s students are invited to submit original work in all areas of Artificial Intelligence. It is not expected that submissions will consist of polished work with complete results; instead, more weight will be placed on the significance of the work, the proposed ideas or solutions, and the overall presentation. Submissions should therefore have emphasis on work in progress, with directions for future research clearly indicated wherever appropriate.

To apply for the symposium, please email an extended abstract in PDF, Postscript or MS-Word RTF to Svetlana dot Kiritchenko at nrc-cnrc dot gc dot ca, by January 30th, 2009. Each abstract has to be accompanied with a cover letter stating your name, institution, supervisor’s name and email address, program start date, expected graduation date, and 2-5 keywords describing your work. Also include a list of your refereed and non-refereed publications and presentations at national and international forums. All submissions must be written in English.


Abstracts may be up to 4 pages in length and must be formatted according to Springer's LNCS style. Please follow the instructions for authors at Springer's site for authors. The use of the LaTeX2e style file available at the web site is strongly encouraged. We anticipate all accepted abstracts to be included in the proceedings of the Canadian Conference on Artificial Intelligence 2009 published by Springer.

Each abstract will be reviewed by a mixed team of both students and program committee members. Presenting students will be selected based on clarity of the submission, stage of research, and evidence of promise such as published papers or technical reports. Partial financial assistance for travel and accommodations may be available to limited number of students presenting at the Symposium.

All students are encouraged to attend and participate in the Symposium, whether or not they apply to present their work. All the selected student presenters are expected to actively participate in the full Symposium, as we envision participants gaining as much by interacting with their peers as by having their presentations critiqued by the faculty panel. In addition, a senior AI researcher and faculty member will be invited to give a talk on a topic of interest to graduate students.

Important Dates

  • Full paper submission due: January 30th, 2009
  • Notification of acceptance: March 3rd, 2009
  • Final paper due: March 12th, 2009
  • Graduate Student Symposium: May 24th, 2009

Co-Chairs

  • Svetlana Kiritchenko, National Research Council Canada
  • Maria Fernanda Caropreso, University of Ottawa
Contact
  • Svetlana Kiritchenko, National Research Council Canada
  • Svetlana dot Kiritchenko at nrc-cnrc dot gc dot ca

Postgraduate Summer School on Computer Science and Information Systems 2009

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Algarve, Portugal, 17 to 23 June 2009

(http://www.mccsis.org/school/)
parallel with IADIS Multi Conference on Computer Science and Information Systems (MCCSIS 2009) (http://www.mccsis.org)

Who can apply

The summer school is open to all participants enrolled in a PhD or doctoral course or in a master degree course, or recently having completed their postgraduate degrees in a higher education institution. There will be two classes, one with doctoral degree students and another with master
students.

Candidates for the summer school are expected to

  • hold a master or baccalaureate degree in the areas of computer science or information systems for or an appropriate degree for the Summer Schools areas,
  • have a previous knowledge in at least one area of the keynote lectures or the areas covered by the MCCSIS conference,
  • demonstrate their ability to work in the field as researcher / student

The application process is governed by the rules determined and approved by the organizing committee of the summer school. The evaluation of the applications will be guaranteed by the organizing committee. The organizing committee will select the most promising candidates among the applicants.

Format of the Summer School

The Summer School will be held in conjunction with the Multi-conference on Computer Science and Information Systems (MCCSIS 2008). The registration fee from the Summer School will give access to

  • Session on research methods;
  • Session on the candidate's doctoral or master projects analysis and discussion;
  • Keynotes from the conference keynote speakers in the selected areas ( 11 confirmed until now);
  • Technical sessions from the MCCSIS conference;
  • Tutorials from the conference (to be announced).

How to apply

Applications following the rules specified on the application form
should be sent through http://www.mccsis.org/school/

Important dates

Submission of Application - until 30 January 2009
Notification of acceptance - Until 6 March 2009
Registration - Until 6 April 2009
Late Registration: After 6 April 2009
Postgraduate Summer School - 17 to 23 June 2009

Secretariat

IADIS Secretariat - Postgraduate Summer School on Computer Science and Information Systems 2009 Rua Sao Sebastiao da Pedreira, 100, 3 1050-209 Lisbon, Portugal E-mail: sch...@mccsis.org Web site: http://www.mccsis.org/school/

Scientific Advisors
  • Miguel Baptista Nunes, University of Sheffield, United Kingdom
  • Piet Kommers, University of Twente, The Netherlands
  • Nian-Shing Chen, National Sun Yat-sen University, Taiwan
  • Pedro Isaías, Universidade Aberta (Portuguese Open University), Portugal

Job offer at FBK for Statistical Machine Translation, Trento - Italy

. Thursday, January 15, 2009
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Call HLT09-01
Opening date: 12 January 2009 – Closing date: 31 March 2009

The “Human Language Technologies“ Research Unit of FBK (Trento, Italy) , is seeking a candidate to carry out research activities in the field of Statistical Machine Translation.

The candidate is expected to contribute original research results inside leading edge research projects, that aim to advance the state-of-the-art in MT by drawing ideas and contributions from different areas, such as machine learning, statistical language processing,high performance computing, statistical logic inference modelling, content processing from large corpora, etc.

More information about the HLT unit are available in http://hlt.fbk.eu

The ideal candidate should have:

• PhD Degree or post-graduate experience in MT or related fields
• Experience in statistical modelling and/or machine learning
• Skills in experimental work and development of algorithms in C++/C
• Ability to work in group and in distributed software development (open source)
• Ability to work and deliver in research projects
• Oral and written proficiency in English

Type of contract: 3 years, post-doc or research position. Possibility of tenure track.

To apply online please send your CV with relevant experience, qualifications and research interests to jobs@fbk.eu Ref. code: HLT09-01

UCL, Lecturership in Statistics

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Lecturer in Statistics, UCL Department of Statistical Science

Applications are invited for a Lectureship available in the Department of Statistical Science, University College London from 1st September 2009.

Applicants should have research strengths in any branch of Probability and Statistics and an aptitude for teaching. They should also have, or expect to have in the near future, a PhD in Statistics or a related discipline. The successful applicant will be expected to carry out original research and to contribute to undergraduate and postgraduate teaching in Statistical Science.

An appointment will be made within the salary ranges £32,458 per annum
-
£35,469 per annum (Lecturer A) or £36,532 per annum - £43,622 per annum (Lecturer B), dependent upon skills and experience. London Allowance of £2,781 per annum will be paid in addition.

Further particulars, including the job description and person specification, can be viewed at http://www.ucl.ac.uk/Stats/department/jobs.html or may be obtained from Marion Ware, Departmental Administrator, telephone 020 7679 1872. Letters of application, including a CV and names of three referees, should be sent to:

Head of Department, Department of Statistical Science,
University College London, Gower Street, London WC1E 6BT. Tel: 02076791872,
Fax: 020 7383 4703, email: hod@stats.ucl.ac.uk.

UCL Taking Action for Equality.

The closing date for applications is Friday, 6th March 2009.

Vision and Sports Summer School

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Zurich, 17-21 August 2009

http://www.vision.ee.ethz.ch/summerschool2009/

email: vs3@vision.ee.ethz.ch

application deadline: 10 May 2009


OVERVIEW

Vision and Sports is a special special kind of summer school. In addition to a broad-range of lectures on state-of-the-art Computer Vision techniques, it offers exciting sport activities, such as Kung-Fu, Ultimate Frisbee, and Volleyball. Sports will be organized by the same internationally renowned experts who deliver the lectures. The school offers the best of both worlds to participants: high-quality teaching on Computer Vision, and lots of fun with a variety of attractive sports. This will offer plenty of opportunity for personal contact between students and teachers.

The Vision and Sports Summer School will cover a broad range of subjects, reflecting the diversity of Computer Vision. Each lecture will cover both basic aspects and state-of-the-art research. Every day there will two Computer Vision classes and one sports session. The classes will include both lectures and practical exercises.

The school is open to about 40 participants, and is targeted mainly to young researchers (Master students and PhD students in particular).


CONFIRMED TEACHERS

Jiri Matas
Czech Technical University

Marc Pollefeys
ETH Zurich

Carsten Rother
Microsoft Cambridge

Bodo Rosenhahn
University of Hannover

Christoph Lampert
MPI Tuebingen

Bastian Leibe
TU Aachen

Vittorio Ferrari
ETH Zurich



COMPUTER VISION LECTURES

Topics will include:
  • Local feature extraction
  • Multi-view geometry
  • 3D reconstruction
  • Large-scale specific object recognition
  • Appearance-based object categorization
  • Shape representation and matching
  • Contour-based object categorization
  • Kernel Methods for Computer Vision
  • Markov Random Fields and Conditional Random Fields for Computer Vision
  • 3D human pose estimation


SPORT ACTIVITIES

Tennis, Volleyball, Ultimate Frisbee, Kung-Fu, Unihockey, Table Tennis


APPLICATION

The school is open to about 40 participants. Please apply online at

http://www.vision.ee.ethz.ch/summerschool2009/

Although priority will be given to young researchers (Master/PhD students in particular), applications from senior researchers and industrial professionals are welcome as well. The registration fee is expected to be around 300 Euro. This fee will include all classes, sports activities, coffee breaks, lunches, and a social dinner. For hotel accommodation, students will get discount rates on hotels affiliated with the Summer School.

Applicants should apply before 10 May 2009.
Notification of acceptance will be sent by 31 May 2009.


MORE INFORMATION

http://www.vision.ee.ethz.ch/summerschool2009/

PostDoc in Machine Learning in Human Computer Interaction

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Our studies on computer supported collaboration rely on two eye tracking machines. These settings enable us to know, for instance, whether A is looking or not at the object that B is referring to verbally. Dual gaze patterns enable us to predict misunderstandings and even team performance. We aim to refine machine learning models to detect more elaborated patterns in dual eye tracking log files.

We are hence looking for a postdoc interested in applying machine learning to eye tracking data with the goal of inventing new collaboration technologies. Staring date to be negotiated.

Our lab (http://craft.epfl.ch) belongs to the School of Computer and Communication Sciences, at EPFL, the Swiss Federal Institute of Technology in Lausanne, Switzerland (http://www.epfl.ch). EPFL is ranked as one of the top universities in Europe. Lausanne, its lake
and its mountains, located at the center of Europe, offers a high quality of life.

Inquiries to pierre.dillenbourg@epfl.ch

Prof. Pierre Dillenbourg

Machine Learning Research Position - Hedge Fund

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Based in Sydney, Australia, Boronia Capital Pty Ltd (formerly Grinham Managed Funds Pty Ltd) is one of the Southern Hemisphere's largest Hedge Fund Managers. Managing in excess of $1 billion we trade in over 60 futures markets into 9 countries, 24 hours a day. Boronia is committed to the development of statistically robust quantitative investment strategies through a disciplined scientific research process.

We are continuing to grow our research group and so are looking for individuals to fill a new permanent research position. The primary task will be to undertake research into the detection, modeling and exploitation of robust statistically significant patterns within financial time series data. The aim of this research is to develop new automated trading and execution strategies that complement those already in use.

The ideal applicant will have substantial research experience in machine learning, data mining or computational statistics, and a Ph.D. in one of engineering, physics, mathematics, statistics, computer science, finance or a related field. All levels of experience will be considered. Competency in software development is essential and a thorough knowledge of one or more of C, C++, Matlab/Octave or related languages will be required. Past experience with complex systems, large datasets, statistical and numerical analysis, or time series modeling will be highly regarded. Prior knowledge of or experience in finance is not a pre-requisite, though a strong interest in finance is essential. The working environment is informal, relaxed and has an academic feel. Hence researchers within the group have the possibility of publishing results from selected areas of their work, are encouraged to engage in collaborations with groups from outside the company, and are supported in conference attendance. The research group is divided into small teams (3-5), each with close IT support, so successful applicants should be willing to work harmoniously with other researchers and with the I.T. professionals that support the research.

This is an exciting, intellectually challenging and rewarding role for someone with enthusiasm, imagination and a desire to learn more about the dynamics of financial markets. Salary will be commensurate with experience. Bonuses are linked to seniority and performance.

Individuals who are interested may apply by emailing their resume to: Research2@boroniacapital.com.au