—————————————————————————————————————————————————– Postdoctoral position on Natural Language Processing / Information Extraction, INESC TEC / University of Porto. —————————————————————————————————————————————————–
The Artificial Intelligence Lab (LIAAD) of INESC TEC / U. Porto is (www.inesctec.pt/en/centres/liaad) is looking for a highly motivated post doc to join the team of researchers working on the Text2Story project. The topic is Narrative Extraction from Text. The aims of the project are to develop Machine Learning and Information Extraction algorithms and tools for Identifying, formally representing and reusing narrative structures from textual sources.
The selected candidate will join the Machine Learning and NLP team of LIAAD-INESC TEC (FCUP or INESC TEC) and will have the opportunity to work in an exciting and young environment in close interaction with research engineers, PhD students and post-doctoral researchers who are working on varied aspects that concern Machine Learning, Information Extraction and Computer Science.
The ideal candidate will have a PhD in NLP or equivalent and the following skills:
* Strong motivation to work with NLP from algorithms to demos and tools; * Theoretical background and hands-on experience on NLP, Machine Learning, Information Retrieval and Information Extraction; * Good communication skills and ability to cooperate within a team; * Good knowledge of programming languages such as, Python, R and Java; * Knowledge of Python and development tools (e.g. GIT); * Motivation to co-coordinate work-packages, co-supervise students and help with project management; * Motivation to articulate with other projects on the topic and go after funding for the research line; * Being able to use Portuguese as a language of study is important.
This position is supported by the FCT project Text2Story. FCT is the Portuguese National Science Funding Agency.
The successful candidate will be offered a contract with the duration of the project of nearly 30 thousand euros per year (taxes apply). To stay after the end of the project is a possibility that depends on the success of the candidate chosen.
PhD positions for this project are also available.
For more information please contact: Alípio Jorge (amjorge@fc.up.pt)
** Please send me an informal note of interest. How to formally apply will be announced soon.
Month: October 2019
[rede.APPIA] Two PhD level research career open positions in data analytics, machine learning and modern optimization
—
Paulo Cortez (Habilitation, PhD)
Associate Professor, Dep. of Information Systems (DSI)
Researcher at ALGORITMI: http://algoritmi.uminho.pt/research-teams/ids/
University of Minho, Campus de Azurem, 4804-533 Guimaraes, Portugal
http://www3.dsi.uminho.pt/pcortez +351253510309 Fax:+351253510300
—————————————————————–
New Springer book: Modern Optimization with R
http://www.springer.com/mathematics/book/978-3-319-08262-2
—————————————————————–
[rede.APPIA] ECIR2020: Short-papers, Demos and Reproducibility deadline extension
=====================
ECIR 2020 :: 42nd European Conference on Information Retrieval http://www.ecir2020.org/
Lisbon
April 14 -17, 2020
=====================
The European Conference on Information Retrieval is the prime European forum for the presentation of original research in the field of Information Retrieval.
ECIR 2020 is seeking high-quality and original submissions on theory, experimentation, and practice regarding the retrieval, representation, management, and usage of textual, visual and multi-modal information.
ECIR strongly supports user, system, application, and evaluation focused papers:
* User aspects including information interaction, contextualisation, personalisation, simulation, characterisation, and information behaviours.
* System aspects including retrieval and recommendation algorithms, machine learning, deep learning, content representation, natural language processing, system architectures, and efficiency methods.
* Applications such as search and recommender systems, web and social media apps, domain specific search (professional, bio, chem, etc.), novel interfaces, intelligent search agents/bots, and related innovative search tools.
* Evaluation research including new measures and novel methods for the measurement and evaluation of users, systems and/or applications.
In addition to these traditional topic areas, ECIR 2020 will be encouraging the submissions of papers on a specialised theme (eHealth, DeepLearning, education IR etc.)
Short Paper Track
=====================
The Short Paper Track calls for original contributions presenting novel, thought-provoking ideas and addressing innovative application areas within the field of Information Retrieval. The inclusion of promising (preliminary) results is encouraged but not required. Papers that stimulate and promote discussion are particularly encouraged. Short paper submissions should be 6 pages in length plus additional pages for references.
Reproducibility Track
=====================
ECIR also strongly encourages the submission of reproducibility papers that repeat and analyze prior work. In particular we solicit classical reproducibility papers, which replicate prior experiments and show how, why, and when the methods work (or not), along with two other types of reproducibility papers: generalizability papers, that focus on assessing how well technology performs in new contexts (e.g., different time, location, access device, task), and predictability papers, that focus on developing theory and methods that assess and evaluate how generalizable methods are and whether they will work in other contexts.
Reproducibility submissions are welcome in any of the ares related to aspects of Information Retrieval, and either fits with the classical or alternative types of reproducibility papers. Reproducibility submissions should be 12 pages in length plus additional pages for references.
Demonstration Track
=====================
The Demo Track provide the opportunity for researchers to present their research prototypes and operational systems which they wish to share with the community, obtain feedback from experts, and exchanges knowledge on implementing and developing such systems. Submissions should clearly define their purpose, scope, and audience. All submissions should provide a URL to a live online version of their demo or, alternatively, provide a URL to a video showcasing the main features of their demo. Demonstrations that make their source code freely available are especially encouraged.
Demonstration submissions are welcome in any of the areas related to Information Retrieval (IR), as identified in the Topics of Interest listed above. Demo submissions should be 4 pages in length plus additional pages for references.
Submission Guidelines
=====================
All submissions must be written in English and be formatted according to the LNCS author guidelines. All papers should be submitted electronically through the conference submission system. Short papers are up to 6 pages in length plus additional pages for references, and demonstration papers are to be 4 pages in length plus additional pages for references.
Short paper submissions will be refereed through double-blind peer review. Demonstration papers will undergo single-blind review. Accepted short papers, and demo papers will be published in the conference proceedings published in the Springer Lecture Notes in Computer Science series. The proceedings will be distributed to all delegates at the conference. Accepted short papers, and demos papers will have to be presented at the conference–and at least one author will be required to register.
Timeline
=====================
(new) Short-papers, Demos and Reproducibility paper submission: 20 October 2019
Notification: 30 November 2019
Workshops and tutorials: 14 April 2020
Main Conference: 15-17 April 2020
[rede.APPIA] The ECIR Industry Impact Award, sponsored by Signal AI.
We are delighted to announce that ECIR 2020 will feature a new award. The award aims to recognize excellence in industrial impact, and hence to strengthen the connection and collaboration with industry. The award will be given to authors of one selected full paper from the ECIR programme. Factors that will be taken into account when selecting the candidate papers for this award include, but are not limited to, replicability, open-source code, data availability, efficiency, simplicity, and business value. In addition to receiving an award certificate, the recipients of the award will be presented with a monetary prize of €1000.
ECIR will continue to feature this award at least until 2022.
=====================
ECIR 2020 :: 42nd European Conference on Information Retrieval http://www.ecir2020.org/
Lisbon
April 14 -17, 2020
=====================
