Grants available - Project Rank!

[Gladys Castillo Jordán]

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From: Carlos Soares [mailto:cso...@fep.up.pt]
Sent: quinta-feira, 3 de Julho de 2008 13:50
To: re...@appia.pt
Subject: [rede.APPIA] Grants available - Project Rank!

 

UNIVERSIDADE DO PORTO

RESEARCH GRANT

The Rank! Project (http://www.liaad.up.pt/csoares/rank) is looking for researchers in Artificial Intelligence/Data Mining to do work in Machine Learning methods for predicting rankings.

Description

The Rank! Project (PTDC/EIA/81178/2006) is funded by the Portuguese Government (Fundação para a Ciência e Tecnologia). The main goal is to develop of a methodology for predicting rankings.

The problem of learning to predict rankings is similar to the problem of supervised classification in Machine Learning/Data Mining. However, the goal is not to predict which class each example belong to but to rank the classes for each example. There are several applications that involve predicting rankings (e.g., recommender systems on the web, stock trading, medical diagnosis, marketing and sales), thus, the amount of research dedicated to this problem is increasing.

The grantees will work on one or more of the tasks involved in developing a methodology for predicting rankings, namely:

·         formalization of the problem

·         development/adaptation of Machine Learning methods for the problem of predicting rankings

·         development of evaluation measures for the problem of predicting rankings

·         application of the methodology developed on practical problems

The project and the grants are managed by the Faculdade de Economia do Porto and the work will be carried out at LIAAD-INESC Porto L.A. (http://www.liaad.up.pt), in Porto, Portugal.

More information:

·         http://www.liaad.up.pt/csoares/rank

·         contact Carlos Soares (+351-223392095 or cso...@fep.up.pt)

Profile

Eligible academic levels include undergraduate, B.Sc., Lic. and M.Sc. from any nationality.

Minimal requirements:

·         Good knowledge of Artificial Intelligence and Machine Learning

·         Knowledge of programming

·         Knowledge of Statistics

·         Strong motivation to work in research

·         Interest in pursuing studies (Ph.D.)

Desirable abilities:

·         Programming in R

·         Experience in the problem of learning to predict rankings

Selection criteria:

·         Analysis of curriculum vitae

·         Suitability of the candidate's profile for the position

·         Optional interview (Note: The Faculdade de Economia do Porto may only interview the candidates who are better positioned after analysis of the application documents).

The Faculdade de Economia do Porto may not hire any candidate, in case none of the applicants has a suitable profile.

Conditions

The grant is predicted to start in 29 September 2008 and has a duration of 6 or 12 months, depending on the profile of the selected applicant, and may be extended up to 3 years. Full time dedication is required, according to Portuguese Law (Lei nº 40/2004).

The salary is defined in the corresponding FCT regulations, with current approximate values of (http://www.fct.mctes.pt/pt/apoios/bolsas/valores/):

·         385 € per month for undergraduate and B.Sc.

·         745 € per month for Lic.

·         980 € per month for M.Sc.

The funding organization will be in charge of costs with social welfare, according to the Portuguese Law (Lei nº 40/2004) and an insurance for personal injuries, according to the regulation for grants of the Universidade do Porto (http://sigarra.up.pt/rscup/noticias_geral.ver_noticia?p_nr=168).

 

Application

Submit via email to D. Lídia Soares (li...@fep.up.pt) until 15 September 2008, the following documents:

·         application letter

·         curriculum vitae

·         copy of certificate of academic level or courses completed in current level

This project is funded by FCT, through PIDDAC.

 

Faculty of Economics University of Porto

 

Dean of the Faculty of Economics

 

 

(Prof. Doutor José da Silva Costa)