Computer Science PhD

Canadian AI, Graduate Student Symposium

2009-01-16T09:44:00.001+01:00

22nd CANADIAN AI
http://ai2009.site.uottawa.ca

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

2009-01-16T09:40:00.001+01:00

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

2009-01-15T22:25:00.001+01:00

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

2009-01-15T22:22:00.001+01:00

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

2009-01-15T22:21:00.001+01:00

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

2009-01-15T22:19:00.001+01:00

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

2009-01-15T22:13:00.001+01:00

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

Vacancy PostDoc, Statistical NLP

2009-01-12T11:52:00.000+01:00

The Institute for Logic, Language and Computation
http://www.illc.uva.nl

Postdoctoral Researcher

1.0 fte (38h per week)

For both internal and external candidates

Summary

Position: POSTDOC researcher
Duration: 2 years (full time, 38hrs per week)
Salary (gross per month): minimum Euro 2379 and maximum Euro 3755 in the first year.
The Collective Employment Agreement of the Dutch Universities is applicable.
Last date for application: February 15, 2009.

Project

Priors for the Estimation of Probabilistic Grammars from Incomplete Natural Language Data
VIDI project Sima'an [2007-2011]

Abstract: The project aims at exploring the utility of available prior knowledge in specifying the model (hypothesis space) and the constraints on the objective estimation function for unsupervised estimation of probabilistic grammars for Statistical Machine Translation and Statistical Parsing.
This project addresses problems of unsupervised estimation in the face of different kinds of incomplete data (parallel and monolingual corpora):

A raw text corpus,
A partially annotated corpus possibly with negative examples, and
A raw in-domain corpus and an out-of-domain annotated corpus.

Corpus annotation is e.g., word-alignment, syntactic or semantic structure.

Example topics studied within the project (see project related publications):

Statistical machine translation with hierarchical/syntactic structure, e.g., statistical estimation [Mylonakis and Sima'an 2007 and 2008], lexical syntactic structrure [Hassan, Way and Sima'an 2007 and 2008]
Statistical machine translation with morphological structure -- Work in progress 2009,
Inducing hidden compositional structure for machine translation (possibly using syntactic structure) -- Work in progress 2009.

Project team: Markos Mylonakis, Tejaswini Deoskar, and Khalil Sima'an (project leader).
Affiliated researchers: Reut Tsarfaty.
External collaborators: Hany Hassan , Barbara Plank and Andy Way.

Requirements

We seek a cooperative yet independent researcher who is passionate about empirical research, statistical methods and NLP/CL.
The following are the main requirements:

obtained a Ph.D. recently (or will obtain it in the very near future, in which case testemoney from the PhD thesis Supervisor is needed)
a strong background, experience in and affinity with the largest subset of the following areas:

Computational Linguistics/Natural Language Processing working with statistical methods
Machine Learning Applied to NLP with good knowledge of unsupervised statistical methods.
Statistical Machine Translation.
Unsupervised statistical methods for statistical Parsing.

Appointment

The appointment will be on a temporary basis for a maximum period of 2 years. Based on a full-time appointment (38 hours per week) the gross monthly salary will range from € 2379,- to, at the most, € 3755,- , in the first year depending on expertise and experience.

The Collective Employment Agreement of the Dutch Universities is applicable.

Application
To Dr Khalil Sima'an by email (k.simaan@uva.nl with subject heading: VIDI-POSTDOC).
The following documents (in pdf):

Letter expressing interest
Curriculum Vitae
List of publications (possibly including a downloadable pdf of your thesis)
Three letters of reference sent directly by the referees to Dr Khalil Sima'an
Optional: Research plan (1 page)

Last date for application: February 15, 2009.

For inquiries contact

Dr Khalil Sima'an.
Language and Computation
Computer Science
University of Amsterdam

Post-doc positions at the University of Southampton

2009-01-08T13:14:00.001+01:00

Research Fellows (Two Posts) - Decentralised Control of Multi-Agent Systems

School of Electronics and Computer Science, University of Southampton, Southampton, UK.

Position Number: 2933-08-E
Closing Date: 22/12/2008
Location: Highfield Campus, Southampton
Salary: £27,183 - £33,432 per annum

http://www.jobs.soton.ac.uk/soton/jobboard/JobDetails.aspx?__ID=*6B21C139331FCAB9

Applications are invited for two Research Fellows in the Intelligence, Agents, Multimedia Group, in the School of Electronics and Computer Science at the University of Southampton. The School is the largest of its kind in the UK and was awarded the top grade of 5* for both Computer Science and Electronics in the last national assessment of research in UK universities.

The research positions will be associated with the Intelligent Decentralised Energy Systems (http://www.ecs.soton.ac.uk/research/projects/618) and the Aladdin (http://www.aladdinproject.org/) projects. These are both large, collaborative projects concerned with the decentralized control and operation of complex, dynamic systems. Specifically, the projects aim to study and apply multi-agent system techniques to the design, management, evolution and control of such systems. To do so, they draw on techniques from the realms of: game theory, distributed optimisation, decision theory, adaptive systems and mechanism design. Particular attention will be paid to the application of these techniques in the domains of disaster response, sensor networks and smart energy networks.

The posts will be based in the Intelligence, Agents, Multimedia research group (www.iam.ecs.soton.ac.uk) and will work with Professor Nick Jennings and Dr Alex Rogers. The successful candidate will join an internationally renowned team applying techniques from game theory, mechanism design, and multi-agent systems to a range of complex real-world problems.

You should possess a PhD in a relevant discipline (Computer Science, Engineering, Mathematics, Operations Research, or Economics) and have established a strong research pedigree in your area (as evidenced by publications in top quality journals and conferences). In particular, expertise in one or more of the following areas will be an advantage: multi-agent systems, game theory, decision theory, adaptive systems, and/or machine learning.

The Energy Systems post is for three years and the Aladdin post is for two years.

Informal enquiries may be made to Professor Nick Jennings (nrj@ecs.soton.ac.uk) or Dr Alex Rogers (acr@ecs.soton.ac.uk).

The closing date for applications is 15th January 2008 at 12.00 noon. Please quote reference number 2933-08-E on all correspondence.

Several fully funded PhD positions at Ghent University

2009-01-08T12:11:00.002+01:00

Several fully funded Ph.D. positions in machine learning, speech recognition, handwriting recognition and robotics are available at the Reservoir Lab (http://reslab.elis.ugent.be) and the Speech Lab (http://speech.elis.ugent.be), both part of the Electronics and Information Systems Department, faculty of Engineering of the Ghent University, Belgium (http://ugent.be).

Project

Current state-of-the-art speech & handwriting recognition systems still perform much worse than human beings who can effortlessly decode the speech or handwriting of most people, even in fairly adverse conditions (e.g. the presence of noise in case of speech recognition). The fact that the human brain works so efficiently is owed to its self-organizing capacity, its deeply hierarchical approach, its adoption of unsupervised and supervised learning strategies, its capacity to adapt almost instantly to new circumstances, etc. Why not try to build an automatic speech recognizer and handwriting recognition engine that incorporates the same principles? This is exactly what we will do in two recently approved projects:

“Self-organized Recurrent Neural Learning for Language Processing” (ORGANIC), funded by the European Commission within the 7th Framework Program. Details about the project can be found at the preliminary reservoir computing website (http://reservoir-computing.org).
“Reservoir Computing for auditory pattern recognition” (RECAP), funded by the Research Program of the Research Foundation - Flanders (FWO).

The research concerns the investigation of architectures and algorithms for the efficient learning of large recurrent neural networks based on the Reservoir Computing concept (where only a linear readout layer is learned in a supervised way whereas the recurrent connections are fixed or trained in an unsupervised way). Important research topics are the unsupervised learning of a large hierarchy of recurrent sub-layers, and the integration of various adaptation techniques. The application domains are off-line handwriting recognition, speech recognition and various aspects of robotics (such as robot localization, motion control, ...). So far we were able to demonstrate that reservoirs can give rise to the robust recognition of digits spoken or written in isolation, but now we want to demonstrate that they can also yield robust recognition of continuous speech and handwriting (large vocabulary).

Requirements

Candidates should have a Masters degree in Electrical, Computer or Physics Engineering; or in Physics, Mathematics or Computer Science. A good knowledge of English is essential. No professional background is required, but the ideal candidates have some acquaintance with Machine Learning, programming (Python, Matlab, ...), statistics, signal processing, speech recognition, control engineering, or robotics.

What we offer

We offer an opportunity to perform at least three years of research in a new promising domain, and to get a doctoral degree in this domain. There will be ample opportunities for establishing international contacts (stays at partner universities, participation to international conferences). As an employee of the university you will receive a competitive salary (starting with a net monthly salary of approximately 1.600€) as well as excellent secondary benefits (holiday allowance, etc.). Belgium was ranked first on the “Best Countries for Academic Research” worldwide list (The Scientist, 2007), and Ghent University was appointed second place on the “Best Places to Work in Academia” non-US list (The Scientist, 2006).

Application and timing

If you are interested in one of the Ph.D. vacancies, please send in electronic format to Benjamin Schrauwen (Benjamin “dot” Schrauwen “at” UGent “dot” be): a detailed curriculum vitae, a motivation letter, your course program, your grades, two letters of recommendation and, if applicable, a publication list and selected publications. Do also mention your topics of preferences within the projects (e.g. robotics, speech, no preference, etc.). Some positions start on April 1, 2009, others in September 2009, meaning that persons who expect to graduate in July 2009 are welcome to apply. Applications which are received before February 1, 2009 get priority.

Post-doc in network models and machine learning in Paris, France

2009-01-08T12:07:00.003+01:00

The Department Signal and Image Processing (TSI) of Telecom ParisTech (France) is offering a one year post-doctoral position in Machine-Learning. The post-doctoral fellow will develop and implement machine-learning procedures and statistical techniques for investigating the way information is spread through small social networks (<<>>). In the application considered, information is related to knowledge about dietary risks and the project include :

Model the information propagation phenomenon through the ego network according to several attributes describing the individuals and their relationships.
Design statistical procedures for quantifying the impact of network structure and descriptive variables on the propagation. Implementation will be based on the ALIMINFO data survey.
Extrapolate results to a larger scale through simulation and extra structural assumptions about the global network.

Required diplomas and skills : candidates will be recruited at the level of a PhD in Mathematics or Statistics. They will have confirmed skills in mathematical modelling, data analysis, statistical or machine learning methods, mathematical programming (Matlab or R), and will be highly motivated for applications to social sciences.

Funds: position is funded by a new Grant << Futur & Rupture << (Institut Telecom).

The Project Team: the candidate will enjoy a challenging and rewarding working environment,within a top leading laboratory in the field of Information and Communication Theory.

Members : Stephan Clemencon (Telecom ParisTech - TSI), Fabrice Rossi (Telecom ParisTech ?INFRES), Nicolas Vayatis (ENS Cachan - CMLA), Sandrine Blanchemanche (INRA Unite Met@risk), Akos Rona-Tas (UCSD Dept of Sociology).

Position starting March 2009, in Paris (France)

Net salary: ranging from 2200 to 2700 euros per month (depending on experience of the candidate)

Interested applicants should sent C.V. to :

Stephan Clemencon stephan.clemencon@telecom-paristech.fr

Telecom ParisTech - 37 rue Dareau - 75014 Paris ? France

Tel : +33 1 45 81 78 07, Fax : +33 1 45 81 71 58

Fully Funded PhD Studentship in Systems Biology

2009-01-07T17:46:00.002+01:00

British Heart Foundation Fully Funded PhD Studentship in Systems Biology

MATHEMATICAL & STATISTICAL MODELLING OF CYTOKINE RECEPTOR CROSS-REGULATION BY CYCLIC AMP

Supervisors:

Dr. Tim Palmer (t.palmer@bio.gla.ac.uk, Integrative and Systems Biology)
Prof. Mark Girolami (girolami@dcs.gla.ac.uk, www.dcs.gla.ac.uk/inference)

Regulation of the immune/inflammatory responses by interleukin-6 (IL-6)-family cytokines is dictated by the interplay of multiple cytokine-activated signalling cascades and inhibitory regulators designed to prevent excessive receptor activation that can result in disease. The situation is further complicated by the observation that cytokine-activated signalling cascades are negatively controlled by distinct signalling modules such as those initiated by the prototypical intracellular messenger cyclic AMP. Despite its significance, the extensive level of cross-talk observed has not been integrated into coherent models of IL-6 receptor signalling and
its regulation.

Objectives

By combining molecular/cell biology with mathematical modelling & statistical inferential approaches, this inter-disciplinary studentship will A) statistically define minimal network structures that accurately describe cytokine signalling pathway kinetics, B) derive a set of plausible mathematical models that can identify the critical parameters controlling inhibitory cross-regulation of gp130 by cyclic AMP, and C) identify new approaches for limiting excessive cytokine signalling associated with inflammatory disorders.

The project provides an exciting opportunity for high-quality doctoral training in mathematical modelling & statistical inferential approaches and their application to increase our understanding of the architecture and dynamics of molecular cell signalling pathways. In addition to contemporary molecular and cellular biology techniques (mammalian cell culture, RNAi-mediated knockdown, protein analysis), the successful candidate will be trained in mathematical modelling of pathway dynamics as well as Bayesian statistical methods to formally characterize uncertainty in these models.

Candidates should be European Economic Area nationals, have an excellent first degree in a relevant mathematical discipline (Mathematics, Computing Science, Statistics, Engineering, Physics) and be highly motivated in their wish to apply this expertise to biological systems. Candidates with an excellent first degree in Biochemistry, Molecular and Cellular Biology or a related discipline, coupled with additional experience in applying mathematical/statistical methods to biological systems, will also be considered.

The studentship will commence as soon as possible after a suitable candidate is identified. The studentship will carry a stipend of £16,853 in year 1 and increasing to £18,580 in year 3. The studentship also covers the student’s university fees. The studentship is renewable, subject to satisfactory annual progress, for up to a total of three years.

Applications must consist of a current CV, contact details of at least two academic referees, evidence of degree performance, and a completed application form from http://www.gla.ac.uk/postgraduate/howtoapplyforaresearchdegree/

Preliminary email enquiries to Tim Palmer or Mark Girolami are welcomed.

Candidates are encouraged to complete the online application, but also to send their CV and associated documents direct to the Graduate School:

Graduate School of Biomedical and Life Sciences, Bower Building,
University of Glasgow, Glasgow G12 8QQ
Tel: ++44 (0)141-330-5800
Fax: ++44 (0)141-330-6093
E-mail: biograd@gla.ac.uk (please type “BHF Palmer” in the subject box of E-mails)
-------------------------------
Professor M.A. Girolami F.I.E.T
EPSRC Advanced Research Fellow
Department of Computing Science
Sir Alwyn Williams Building, Room 302
University of Glasgow
Glasgow, G12 8QQ
Scotland UK

Tel : +44 (0)141 330 1623
Fax: +44 (0)141 330 2673

email : girolami@dcs.gla.ac.uk
web: http://www.dcs.gla.ac.uk/~girolami
web: http://www.dcs.gla.ac.uk/inference

PhD Studenships at SUMO Lab, Belgium

2009-01-05T21:18:00.001+01:00

3 PhD Student Positions at Ghent University

SUMO Lab (SUrrogate MOdeling Lab - http://www.sumo.intec.ugent.be) announces 3 openings for a PhD position in Machine Learning and Scientific Computing.

SUMO Lab is part of the IBCN research group (http://www.ibcn.intec.ugent.be) of the Department of Information Technology (INTEC) at Ghent University, Belgium.

We are looking for Masters degree candidates in engineering, computer science, physics or mathematics. Strong interdisciplinary interest in modeling and simulation, and supervised machine learning is required, and excellent programming skills (Matlab, Java) are highly desirable.

We offer fully paid 4 year PhD positions. The positions are funded by the Research Foundation Flanders. The positions are open to applicants of any nationality with good knowledge of English and/or Dutch.

The tentative starting date of the position is between now and October 2009.

We invite applicants to send their CV, as well as a short summary of their research interests by e-mail to Prof. Tom Dhaene (tom.dhaene@ugent.be).

PostDoc in ML, Discovery Systems Laboratory, Tennessee, USA

2009-01-05T21:16:00.000+01:00

The Discovery Systems Laboratory has an open post-doctoral position in the area of machine learning and knowledge discovery. The lab's focus is on learning from data: (1) Development and
refinement of algorithms for knowledge discovery (including discovering cause and effect relationships) and (2) Application of knowledge discovery methods to various types of biomedical data including coded data, high throughput data, text and images.

Candidates with an earned PhD in computer science, information science, biomedical informatics or a closely related area with research interests in machine learning and knowledge discovery are encouraged to contact Subramani Mani by email (subramani.mani@ vanderbilt.edu).

For additional details about the DSL please visit www.dsl-lab.org

The DSL is part of the Department of Biomedical Informatics at Vanderbilt University located in Nashville, TN, USA.

PostDoc in ML / Mathematical Modeling of Neural Systems, Germany

2009-01-05T21:13:00.002+01:00

A fully funded Postdoctoral Research Position in Machine Learning / Mathematical Modeling of Neural Systems is open in the research group of Herbert Jaeger (http://www.faculty.jacobs-university.de/hjaeger) at Jacobs University Bremen, Germany (http://www.jacobs-university.de).

The position is created in the context of the integrated project "Self-organized Recurrent Neural Learning for Language Processing (ORGANIC), funded by the European Commission within the 7th Framework Program "Cognitive Systems, Interaction, Robotics". Details about the project and the consortium can be found at the preliminary reservoir computing website (http://reservoir-computing.org). The project start is April 1, 2009 and the project duration is 3 years. The position may start earlier than the project start.

The projected research for this position concerns the architecture and learning algorithm design for large-scale recurrent neural network systems, with an emphasis on mathematical analysis. The targetted application area is speech and handwriting recognition. The project's overarching objective is to amalgamate neurobiological with engineering/mathematical perspectives, integrating a multitude of learning/adaptation/stabilization mechanisms for robustness and
versatility.

The ideal candidate would have the following qualifications:

a PhD in machine learning, computational neuroscience, mathematics, theoretical physics, signal processing, control engineering, or similar fields,
a strong mathematical background, especially in statistics and stochastic processes, nonlinear dynamics, and signals and systems,
experience in machine learning, signal processing, nonlinear dynamics, recurrent neural networks,
highly developed communication and organization skills,
a very good command of English,
endless curiosity.

Besides scientific work (80%), the task profile includes assistance in project management. This aspect of the position will extend the professional skills of the researcher in important directions of large-scale project coordination and leadership qualifications.

The total contract duration will be 3 years (project runtime, starting April 1) plus optionally the time from an earlier contract start to the project start. The application deadline is open.

Jacobs University Bremen is an equal opportunity employer and has been certified "Family Friendly" by the Hertie-Stiftung.

Please send in electronic format (PDF preferred) a letter of application, CV, a copy of academic certificates, and optionally samples of published work to Herbert Jaeger (h.jaeger@jacobs-university.de) who also invites further inquiries. Applicants passing an initial screening will be requested to supply two letters of reference.

PostDoc on Computer Vision and Machine Learning

2009-01-05T21:11:00.001+01:00

Postdoctoral researcher in the field of computer vision and machine learning

The Learning Algorithm and Systems Laboratory at the EPFL (Swiss Federal Institute of Technology, Lausanne) seeks one qualified postdoctoral researcher in the field of computer vision and machine learning.

The postdoc will work in the framework of the IM2 and TACT projects, that develop algorithms for multimodal analysis of video and audio data recorded by the WearCam, a wearable hat designed for children with disabilities, see

http://lasa.epfl.ch/research/toys/wearcam/index.php

The successful candidate will have a PhD and experience in at least 1 of the following fields:

computer vision or image processing
machine learning, pattern recognition or statistical techniques

In addition, the candidate should have a strong background in C++ programming and matlab. The applicant should be fluent in English.

The initial Postdoctoral position is for one year, with a possibility of 1 year extension. The position is open immediately.

Application: Interested candidates should send a letter of motivation, along with their detailed CV, and copies of two relevant publications to Prof. Aude Billard (aude.billard@epfl.ch).

CMU, Portugal

2009-01-05T21:09:00.000+01:00

Carnegie Mellon University and the Portuguese Government established a partnership, named as CMU-Portugal Program, with the objective of creating in Portugal first rate, internationally recognized, education and research programs in areas including, technology, critical infrastructures, risk assessment, innovation, and policy. Of special interest are machine learning methodologies that can be applied in the areas above.

IST is offering a Dual Carnegie Mellon University(CMU)/ Instituto Superior Tecnico (IST) PhD degree in Electrical and Computer Engineering. Upon completion, graduates will be awarded a degree both by CMU and IST. Students will be co-advised and will spend extended periods of time in both institutions.

Any Portuguese citizen or any foreign student admitted to IST is eligible for funding that covers tuition and a stipend. For further information, namely on how to apply see site list or contact the program coordinator :

IST
http://cmuportugal-ece.ist.utl.pt/
http://www.ist.utl.pt/en/html/cmu-pt/

Carnegie Mellon University
http://www.icti.cmu.edu
http://www.ece.cmu.edu/prospective/graduate/admissions.html

Joao Costeira
Coordinator PhD Dual Degree in ECE
Instituto Superior Tecnico-
Av. Rovisco Pais
1049-001 Lisboa, Portugal
Email: cmuportugal-ece@isr.ist.utl.pt

PhD and PostDoc position in ML at AI Labratory, University of Geneva, Switzerland

2009-01-05T21:07:00.001+01:00

Applications are invited for one PhD and one post-doctoral position in the Artificial Intelligence Laboratory (Computer Science Department) of the University of Geneva. The successful candidates will participate in European and national research projects, where they will combine theoretical, experimental and applied research in machine learning and data mining. Further information on the research activities of the AI Lab can be found on http://cui.unige.ch/AI-group.

Candidates should have a solid background in both computer science and mathematics, particularly in statistical learning and optimization theory. They should have excellent programming skills as well as communication skills in English (and ideally in French). Preference will be given to candidates with a strong interest and/or experience in advanced knowledge discovery issues such as multisource learning, integration of prior knowledge into the data mining process, or generalization from high-dimensional small samples. Training or experience in one or several application areas (e.g., physics, biology, social sciences) will be appreciated. A strong academic record, excellent analytical skills and a clear aptitude for autonomous, creative research will be priority selection criteria.

Applications should include a CV, academic transcript, a brief statement of purpose, a list of publications, and names and e-mail addresses of at least 2 references.

Funding will start on 1/10/2008 and 1/2/2009 for the PhD and postdoc positions respectively. Starting salary will be around 4100 CHF at the PhD and 5380 CHF at the postdoc level (1 CHF = 0.646 EUR). Applications will be accepted until both positions are filled.

Please send your applications (preferably by e-mail) to

Melanie.Hilario[at]unige.ch
CUI - University of Geneva
Battelle A, 7 route de Drize
CH-1227 Carouge, Switzerland

Research Fellow, Statistics/Machine Learning at University of Edinburgh

2009-01-05T20:57:00.001+01:00

Research Fellow (Statistician, Machine Learning Specialist)
£29,704 - £35,469

A research post is available immediately at the University of Edinburgh for a Bayesian statistician/computer scientist to work on developing statistical methods for genetic epidemiology. The object is to develop methods for modelling the joint effects of genotype and environment and inferring causal relationships, using tools such as Markov chain Monte Carlo simulation, variational Bayes approximations, and Dirichlet process models. The successful applicant is likely to learn about and make use of the recently released Infer.NET (http://research.microsoft.com/infernet), as well as developing other techniques.

The post would suit an individual at post-doctoral level with experience of using and developing Bayesian probabilistic methods for modelling and inference. Previous experience in statistical genetics or bioinformatics is useful, but is far from an essential requirement: experience in novel
development and application of probabilistic machine learning and statistical methods in other fields could be just as valuable. The post is funded by the Medical Research Council for three years with possibility of extension should further funding be obtained.

Closing date: 9 January 2009.

See http://www.jobs.ac.uk/jobs/RO886 /Research_Fellow_Statistician_Machine_Learning_Specialist/

Interested applicants can contact Paul McKeigue (paul.mckeigue@ed.ac.uk) or Amos Storkey (a.storkey@ed.ac.uk) for further details.

PostDoc in Signal and Image Processing, Paris

2008-12-25T12:45:00.002+01:00

POST-DOCTORAL POSITION - 2009 Department : Signal and Image Processing http://www.tsi.enst.fr/

Lab : LTCI UMR Telecom ParisTech/CNRS 5141 http://www.ltci.enst.fr/

TOPICS : machine-learning for structured data, social networks, random graphs, graphical models

Description : The Department Signal and Image Processing (TSI) of Telecom ParisTech (France) is offering a one year post-doctoral position in Machine-Learning. The post-doctoral fellow will develop and implement machine-learning procedures and statistical techniques for investigating the way information is spread through small social networks (« ego networks »). The main focus of this research project lies on information related to knowledge about dietary risks.

Required diplomas and skills : candidates will be recruited at the level of a PhD in Mathematics or Statistics. They will have confirmed skills in mathematical modelling, data analysis, statistical or machine learning methods, mathematical programming (Matlab or R), and will be highly motivated for applications to social sciences.

Funds : position is funded by a new Grant « Futur & Rupture « (Institut Telecom).

The Project Team: the candidate will enjoy a challenging and rewarding working environment, within a top leading laboratory in the field of Information and Communication Theory.

Members : Stéphan Clémençon (Telecom ParisTech - TSI), Fabrice Rossi (Telecom ParisTech – INFRES), Nicolas Vayatis (ENS Cachan - CMLA), Sandrine Blanchemanche (INRA Unité Met@risk), Akos Rona-Tas (UCSD Dept of Sociology).

Position starting March 2009, in Paris (France)

Net salary : ranging from 2200 to 2700 euros per month (depending on experience of the candidate)

Interested applicants should sent C.V. to :
Stéphan Clémençon stephan.clemencon@telecom-paristech.fr
Telecom ParisTech ‐ 37 rue Dareau ‐ 75014 Paris – France
Tel : +33 1 45 81 78 07, Fax : +33 1 45 81 71 58

Summer Schools in Logic and Learning

2008-12-25T12:42:00.001+01:00

An Open Invitation to attend the Summer Schools in Logic and Learning 26 January to 6 February 2009 Australian National University, Canberra, Australia

One of the grand challenges in science and engineering is to build computer systems that are trustworthy and intelligent. While achieving this goal could be many decades away, computer systems are clearly getting smarter and more reliable year by year and human society is becoming more reliant on exploiting their increasing intelligence. Logic and machine learning are two indispensable parts of the efforts to meet this challenge.

Join us for a new summer school experience where you have a unique two week opportunity to combine the solid foundations of logic and machine learning, with an introductory track in artificial intelligence in the second week.

Courses are taught by some of the world's leading computer scientists and blend practical and theoretical short courses with lectures and demonstrations in state-of-the-art computer facilities at ANU.

Courses and Speakers

Artificial Intelligence Courses http://ssll.cecs.anu.edu.au/speakers/ai

Logic Courses http://ssll.cecs.anu.edu.au/speakers/lss

Machine Learning Courses http://ssll.cecs.anu.edu.au/speakers/mlss

Fees and Registration http://ssll.cecs.anu.edu.au/registration

More information http://ssll.cecs.anu.edu.au/

If you would like to discuss this invitation in more detail, including advice on suitable candidacy, please go to http://ssll.cecs.anu.edu.au/about/contact

The Summer Schools in Logic and Learning are supported by ANU and NICTA.

Committee

Dr Tiberio Caetano, Convener
Professor John Slaney, Convener
Dr Alwen Tiu (Acting Convener)
Diane Kossatz
Michelle Moravec

PhD Studentship in Interactive Question Answering

2008-12-25T12:39:00.002+01:00

PhD Studentship in Interactive Question Answering
(£12,000 per year)
Closing date: 16th Jan 2009
http://clg.wlv.ac.uk/jobs/

The Research Group in Computational Linguistics, University of Wolverhampton invites applications for a three-year-funded PhD studentship in Computational Linguistics. The successful candidate is expected to carry out research in the domain of interactive question answering. We are looking for candidates with a good degree in Computational Linguistics, Linguistics, Computer Science or Information Sciences, with programming skills and some experience in Natural Language Processing. The studentship is part funded by Unilever.

Required skills:

degree in Computational Linguistics, Linguistics, Computer Science or Information Sciences
experience with at least one of the following: Java, Perl, C++, .NET
experience in Natural Language Processing
good command of the English language

Desirable skills:

Master's degree in Computational Linguistics, Linguistics, Computer Science or Information Sciences
experience in question answering, information extraction and/or dialogue systems
familiarity with a wide range of programming environments and operating systems

Applications should be sent to

Dr. Constantin Orasan
Research Institute of Information and Language Processing
University of Wolverhampton
Stafford St.
Wolverhampton
WV1 1SB
United Kingdom
E-mail: C.Orasan@wlv.ac.uk

and must include:

completed application form available from http://clg.wlv.ac.uk/jobs/PhD-application.pdf
CV
copy of university degree (in English)
copy of transcript listing all university marks (in English)
evidence of postgraduate qualification if applicable
a covering letter in which candidates explain why they have applied for the studentship, give details of their research interests/experience, background, programming skills and an outline of
any experience in Natural Language Processing or Linguistics.

Applications should be made both by email and surface mail. The closing date for applications is 16th January 2009. The short-listed applicants will be interviewed by email and telephone in the week beginning 26th January 2009.

The studentship includes a maintenance grant of 12,000 GBP a year and also covers the tuition fees for 3 years.

The successful candidate is expected to start as soon as possible after 1st February 2009. She or he will be working in a vibrant research environment, engaging in active research. The studentship is part-funded by Unilever.

Established by Prof. Mitkov in 1998, the Research Group in Computational Linguistics is a highly successful one, delivering cutting-edge research in a number of NLP areas such as anaphora resolution, automatic summarisation, question answering, lexical knowledge acquisition, text categorisation, named entity recognition, information extraction, corpus construction and annotation, automatic terminology processing, multilingual processing, and multiple-choice question generation. To a large extent, this research has been undertaken in projects funded by major UK funding bodies and commercial partners. The recent UK Research Assessment Exercise (RAE) results have confirmed the Research Group in Computational Linguistics as one of the top research performers in the UK.

PostDoctoral Research Associate, Open University, UK

2008-12-25T12:34:00.002+01:00

Natural Language Generation group

(http://mcs.open.ac.uk/nlg/)

Centre for Research in Computing
(http://crc.open.ac.uk)
The Open University, UK

"CODA - COherent Dialogue Automatically generated from text"

Position based in Milton Keynes, UK (40 minutes from central London by train) Duration: 2 years (Full-time) Expected start date: March 1, 2009

*** Project Overview:

The Department of Computing at The Open University (OU) has recently been awarded research funds by the UK Engineering and Physical Sciences Research Council (EPSRC) to develop the theory and technology for automatic transformation of text in monologue form to information-delivering dialogue, specifically dialogue between a 'layman' (e.g., patient or student) and an 'expert' (e.g., doctor or tutor).

The project will include construction of a parallel corpus of monologues and dialogues that express the same information. The corpus will be employed to develop and implement a system for mapping spans of text in monologue form to dialogue. For example, a text describing when and how to take a medicine may be transformed into the text of a dialogue between a patient and pharmacist. The aim is for the text in dialogue form to present the same information as the original text, but in a more memorable and engaging way.

In collaboration with the visiting researcher to the project, Dr. Prendinger of the National Institute of Informatics in Tokyo, the project will also investigate how the proposed technology for mapping monologue to dialogue can be interfaced with state-of-the-art multimedia information presentation systems (involving computer-animated characters and speech synthesis). The project will build on the pilot study described in Piwek et al. (2007).

Piwek, P., H. Hernault, H. Prendinger and M. Ishizuka (2007). Generating Dialogues between Virtual Agents Automatically from Text. In: Intelligent Virtual Agents: Proceedings of IVA07, LNAI 4722, pages 161-174. Springer Verlag.

*** A Research Position will be available on the project for:

a candidate with a Ph.D. degree in Computer Science (or related area)/equivalent experience, and good programming skills (preferably in Java).

Interest in all of the following areas and knowledge in at least one of the areas is desirable:

Paraphrasing/Text-to-Text generation/Machine Translation
Natural Language Generation
Dialogue Modelling
Corpus linguistics

£24,152 - £28,839 according to experience & qualifications.

Closing date for applications: 31 January 2009. Interviews are expected to be in February. We welcome informal enquiries. Please contact Paul Piwek for further details and information on the formal application process.

Dr. Paul Piwek
Lecturer in the Computing Department
Centre for Research in Computing
The Open University
Walton Hall, Milton Keynes, UK

Web: http://mcs.open.ac.uk/pp2464

Postdoctoral position in Text Analysis (University of Pisa, Italy)

2008-12-20T10:09:00.003+01:00

The research will be conducted as part of an undergoing project on semantic tagging of Wikipedia, in cooperation with Yahoo! Research and the Institute of Computational Linguistics of the CNR (http://medialab.di.unipi.it/wiki/index.php/ Analisi di testi per il Semantic Web e il Question Answering).

The research will be conducted at the Department of Informatics with an opportunity to spend periods at Yahoo! Research Barcelona.

The successful candidates will have a strong background in computer science and knowledge of statistical machine learning techniques, with emphasis on text and natural language analysis. They are expected to provide leadership on technical issues and well as to contribute to the development of object oriented high performance applications.

Skills and Experience

A background in Computer Science with specialization in Computational Linguistics or Natural Language Processing
Expertise in text mining or information retrieval
Thorough understanding of software development methodologies
Excellent programming skills in C++ and Python
Expert-level understanding of statistical machine learning techniques as applied to text analytics, e.g., information extraction, summarization, classification, clustering, tone/sentiment analysis, relevance ranking

Education

PhD in Computer Science, Computational Linguistics or equivalent.

Application

The details of the call are available at: http://medialab.di.unipi.it/Announcement/BandoAssegno.pdf

Closing date for application is January 12, 2009.

General information about the Department of Informatics can be found at http://www.di.unipi.it.

Open Faculty Position Assistant or Associate Professor

2008-12-17T18:25:00.003+01:00

Announcement Open Faculty Position Assistant or Associate Professor without tenure due to source of funding (WOT)

The Northwest Institute of Genetic Medicine in partnership with the University of Washington in Seattle is seeking a new biomedical and health informatics faculty member at the level of assistant or associate professor in the Division of Biomedical and Health Informatics (www.bhi.washington.edu) without tenure due to source of funding (WOT).

The Northwest Institute of Genetic Medicine (NWIGM) is a recently established multi-disciplinary multi-institutional program funded by the State of Washington Life Sciences Discovery Fund. The primary goals of the NWIGM are a) to facilitate the design, development, and execution of translational genetic studies that bridge basic and clinical research at academic institutions and biotechnology companies, and b) to promote outcomes research on the role of genetic testing in clinical medicine and its impact on the provision of healthcare. Key activities of the NWIGM include consultation related to study design, grant writing, and generation of pilot data.

Key disciplines involved in the NWIGM include the Division of Medical Genetics in the Department of Medicine, the Division of Genetics in the Department of Pediatrics, the Department of Genome Sciences, the Center for Biomedical Statistics in the Department of Biostatistics, and the Division of Biomedical and Health Informatics in the Department of Medical Education and Biomedical Informatics. The organizations that have partnered to form NWIGM include the University of Washington, Seattle Children's Research Institute, and the Center for Health Studies at Group Health in Seattle. NWIGM also partners with the regional Institute of Translational Health Sciences (www.iths.org) which is an NIH CTSA funded center for clinical/translational research. The leadership for the NWIGM includes Dr. Gail Jarvik (Director), Dr. Bruce Weir, Dr. Deborah Nickerson, Dr. Michael Bamshad, and Dr. Peter Tarczy-Hornoch.

We encourage applications from candidates committed to biomedical informatics research in the area of genetic medicine both in the area of fostering discovery and in the area of applying the new discoveries. The responsibilities of the position include the following areas of activity: a) developing an independent program of research in the general area of linking electronic medical record phenotypic data (including natural language processing of text notes) with biological/genomic data sets in the context of genomic medicine, b) working with students and post-docs interested in this research area, c) providing consultation related to informatics support in this area related to grant writing, study design, and generation of pilot data, d) establishing collaborations with NWIGM members, and e) overseeing the development of an informatics consult service within the NWIGM.

The primary appointment will be 100% FTE with a 12-month service period in the Department of Medical Education and Biomedical Informatics in the School of Medicine with opportunities for joint or adjunct appointment as appropriate. The initial appointment is without tenure due to funding (WOT). Generally, if an award of tenure would be proposed for consideration it would be after an individual has attained the full professor rank. Full funding through the NWIGM is available for 3 ½ years after which it is expected that the faculty member will be supported by a combination of grants and revenue from the NWIGM.

Candidates must have a doctoral degree in a core discipline of biomedical informatics, computer
science, or similar as well as training in biomedical informatics. Strong training in research methods is required; and experience with genetic association studies and/or natural language processing and/or electronic medical records is highly desirable. Demonstrated ability
to initiate and successfully conduct research is highly desired as well.

Review of applications will begin in Fall 2008 and continue until filled. We are seeking candidates available to start working Summer 2009 or earlier. Please send a statement of interest and qualifications, detailed curriculum vitae, and four letters of reference to:

NWIGM Informatics Faculty Search
c/o Donna Rowe
Department of Medical Education and Biomedical Informatics
Box 357240
University of Washington
Seattle, WA 98195-7430
www.bhi.washington.edu

email: zermatt@u.washington.edu
phone: 206-221-3322

Search committee chair:

Peter Tarczy-Hornoch, MD
Head and Professor
Division of Biomedical and Health Informatics
Department of Medical Education and Biomedical Informatics
School of Medicine

University of Washington faculty engage in teaching, research, and service. The University of Washington is an affirmative action, equal opportunity employer. The University is building a culturally diverse faculty and staff and strongly encourages applications from women, minorities, individuals with disabilities, and covered veterans.