[rede.APPIA] MSc holder and BSc-holder positions on Machine Learning at FCUP / University of Porto in collaboration with Bosch

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MSc holder and BSc-holder positions on Machine Learning at FCUP / University of Porto in collaboration with Bosch
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**Deadline: 06/11/2019

The Department of Computer Science / U. Porto is looking for highly motivatedresearchers to join the team of researchers working on the SafeCities project, a joint venture between U. Porto and the company Bosch. The topic is Machine Learning for Sensor Data for false alarm reduction. The aims of the project are to develop Machine Learning models and algorithms, statistical data analysis and variable selection, in the context of large scale and heterogeneous data. The selected candidate main tasks will be to develop research in these areas.

The selected candidate will join the Machine Learning team of FCUP / 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 candidate will also have close interaction with our project partners at Bosch in an industry setting.

The *ideal* candidate will have a MSc/BSc in Machine Learning or equivalent and the following skills:

* Strong motivation to work with ML algorithms, demos and tools;
* Theoretical background and hands-on experience on Machine Learning / Data Mining / Data Science;
* Experience with ML toolkits and packages such as TensorFlow;
* Good communication skills and ability to cooperate within a team;
* Good knowledge of programming languages such as, Python, R and Java;
* Knowledge of development and versioning tools (e.g. GIT);
* Experience with HPC / GPU and cloud computing.

This position is supported by the Project “Safe Cities”, ref. POCI-01-0247-FEDER-041435, financed by Fundo Europeu de Desenvolvimento Regional (FEDER), through COMPETE 2020 and Portugal 2020.

The successful candidate will be offered a grant with the net monthly value of 989.7€ (MSc) or  which can be extended until the end of the project (3 yrs). There is a possibility of continuing research after the end of the project subject to the candidate performance and funding availability. 

PhD and MSc positions for this project are also available.

To submit send en email to (amjorge@fc.up.ptrecrutamento@fc.up.ptdutra@fc.up.pt)  with the 

subject as advised in the announcement.


MSc-holders: either
99, 100 e 101 Bolseiro Mestrado (FCUP) n.º 3, 4 e 5 Sub-Projeto 2
98 Bolseiro Mestre (FCUP) n.º 2 Sub-Projeto 2

BSc-holders: either
93, 94  e 95 Bolseiro Licenciado (FCUP) n.º 7, 8 e 9 Sub-Projeto 2

92 Bolseiro Licenciado (FCUP) n.º 6 Sub-Projeto 2

Please attach the following documents in pdf format:
– Motivation letter
– Academic certificates
– Detailed curriculum vitae
– Other relevant documents such as reference letters

**Deadline: 06/11/2019

[rede.APPIA] IEEE PICom 2020: CFP

FYI
=====================CALL FOR PAPERS=============================
IEEE PICom 2020 The 18th IEEE International Conference on Pervasive Intelligence and Computing (PICom 2020)
cyber-science.org/2020/picom/ June 22-26, 2020, Calgary, Canada Sponsored by IEEE, IEEE Computer Society Supported by IEEE Technical Committee of Scalable Computing (TCSC), IEEE SMC TC on CyberMatics and IEEE CIS Smart World TC
=================================================================
IMPORTANT DATES ===============
Workshop/SS Proposal Due: Nov. 25, 2019 Regular Paper Submission Due: Feb. 15, 2020 Wksp/SS/Poster Paper Due: March 10, 2020 Authors Notification: April 1, 2020 Camera-ready Submission: May 10, 2020

INTRODUCTION =============
Over the last fifty years, computational intelligence has evolved from logic-based artificial intelligence, nature-inspired soft computing, and social-oriented agent technology to cyber-physical integrated ubiquitous intelligence towards Pervasive Intelligence (PI). The International Conference on Pervasive Intelligence and Computing is intended to cover all kinds of these intelligent paradigms as well as their applications in various pervasive computing domains. PICom-2019 is the conference on Pervasive Intelligence and Computing, previously held as PCC (Las Vegas, USA, 2003 and 2004), PSC (Las Vegas, USA, 2005), PCAC (Vienna, Austria, 2006, and Niagara Falls, Canada, 2007), IPC-2007 (Jeju, Korea, December 2007), IPC-2008 (Sydney, Australia, December 2008), and since 2009 as the name PICom. IEEE PICom 2020 will be held on 22-26 June 2020 in Calgary, Canada, co-located with IEEE DASC 2020 CBDCom 2020 and IEEE CyberSciTech 2020. It aims to bring together computer scientists and engineers, to discuss and exchange experimental and theoretical results, work-in-progress, novel designs, and test-environments or test-beds in the important areas of Pervasive Intelligence and Computing.
TRACKS AND TOPICS ================
Track 1: Computational Intelligence and Cognitive Computing Track 2: Intelligent Networks, Middleware and Applications Track 3: Pervasive Computing, Sensing and Services Track 4: Smart Object, Environment, System and City
Topics of interests include, but are not restricted to:
* Deep Learning and Deep Computation * Brain-/Nature-inspired Computing * Machine Learning and Big/Smart Data * Agent-based Computing and DAI * Crowdsourcing and Cognitive Computing * Ubiquitous Data Mining and Fusion * Intelligent Privacy, Security and Trust * Context Modeling and Recognition * Intelligent Networking/SDN Technology * Pervasive/Ubiquitous Intelligence * Intelligent Cyber-Physical Systems * Edge and Fog Computing * Cloud of Things and Cloud of Sensors * Middleware for Pervasive Computing * Autonomous System Management * Device/Thing Abstraction & Virtualization * Crowdsourcing and Social Computing * Pervasive Devices and RFIDs * Embedded Hardware, Software & System * Sensors and Sensor Networks * Pervasive Service & Ubiquitous Intelligence * HCI for Pervasive Computing * Mobile/Wearable Computing * Behavior Data Sensing and Cleansing * Activity/Affect Detection and Recognition * AI@Edge/@Fog/@Cloud/@Blockchain * Smart Homes, Grids, Systems and Cities * Smart Manufacturing (Industry 4.0) * Smart Medicine and Healthcare * Intelligent/Smart IoT * Smart Agriculture and Aquaculture * Smart/Intelligent Transportation * Smart Learning and Education * Smart Sensing, System and Service
IEEE PICOM 2020 CALLS FOR ==========================
* Regular conference paper: 6 – 8 pages, submitted to one of five tracks * WiP/workshop/special session paper: 4-6 pages, and poster paper: 2-4 pages * Late breaking innovation paper: We seek the latest research and development work. The submission can be of any type, and will be allocated by the Program Chair to a suitable Regular, Work-in-Progress, or Poster tracks * All submissions in the IEEE CS proceedings format

PROCEEDINGS ==========================
* All accepted papers will be published by IEEE (IEEE-DL and EI indexed) in Conference Proceedings. * Best Paper Awards will be granted to high quality papers. * Selected papers will be recommended to prestigious journal special issues.

ORGANISING COMMITTEE ==========================
– Honorary Chairs Lisa Carter, Athabasca University, Canada Albert Zomaya, University of Sydney, Australia Sumi Helal, Lancaster University, UK

– General Chairs Prof. Flavia C. Delicato, Fluminense Federal University, Brazil Prof. Liang Chen, University of Northern British Columbia
– General Executive Chairs Henry Leung, The University of Calgary, Canada
– Program Chairs Paulo Pires, Fluminense Federal University, Brazil Juan Corchado, University of Salamanca, Spain
– Track Chairs Esteban Clua, UFF, Brazil Nicolas Tsapatsoulis, Cyprus University of Technology, Cyprus Rajiv Ranjan, Newcastle University, UK Deepak Puthal, Newcastle University, UK Pietro Manzoni, Universitat Politècnica de València, Spain Claudio Miceli, Federal University of Rio de Janeiro, Brazil Roberto Morabito, Ericsson Research, Jorvas, Finland Ali Dewan, Athabasca University, Canada
– Workshop and Special Session Chairs Peng Li, The University of Aizu, Japan Antonio Guerrieri, ICAR-CNR, Italy
-Special Issue Chair Atiqur R. Ahad, U. Dhaka, Bangladesh / Osaka U, Japan Gautam Srivastava, Brandon University, Canada
– International Liaison and Publicity Chairs Wu-Yuin Hwang, National Central University, Taiwan Zixia Liu, University of Central Florida, USA Paulo Novais, Minho University, Portugal Bruno Costa, IFRJ, Brazil Edgar Ramos, Ericsson Research, Finland
– Advisory Committee Zhikui Chen, Dalian University of Technology, China Liqiang Wang, University of Central Florida, USA OK Jane Hsu, National Taiwan University, Taiwan Qiang Yang, Zhejiang University, China – Aceitou Lidia Fuentes, Malaga University, Spain Giancarlo Fortino, University of Calabria, Italy
– Steering Committee Jianhua Ma, Hosei University, Japan Laurence T. Yang, St. Francis Xavier Univ., Canada Adnan Al-Anbuky, Auckland U Tech., New Zealand Jun Wang, University of Central Florida, USA Flávia C. Delicato, Fluminense Federal University, Brazil
– Local Organizing Committee Oscar Lin (chair), Athabasca University, Canada Ali Dewan, Athabasca University, Canada Hongxin Yan, Athabasca University, Canada Joelle Jackson, Athabasca University, Canada Jillian Calliou, Athabasca University, Canada Kevin Cole, Athabasca University, Canada
THREE CO-LOCATED CONFERENCES ==========================
* The 5th IEEE Cyber Science and Technology Congress (CyberSciTech 2020) * The 18th IEEE Conf. on Dependable, Autonomic & Secure Comp (DASC 2020) * The 6th IEEE Int’l Conf. on Cloud and Big Data Computing (CBDCom 2020)
Hosted by Athabasca University, Canada

[rede.APPIA] 3 yr Postdoctoral position on Natural Language Processing / Information Extraction, INESC TEC / University of Porto.

—————————————————————————————————————————————————– 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.

[rede.APPIA] Two PhD level research career open positions in data analytics, machine learning and modern optimization

Dear all,


Please distribute this announcement among researchers that might be interested in this opportunity:

Within the DTx collab, and up to 4th November 2019, we are looking for 2 candidates with a PhD degree in the area of Information Systems, Computer Science or similar and with knowledge in the areas of data analytics, machine learning and modern optimization.

We highlight that the 2 positions assume a work contract (and not a grant) and a competitive salary (195 index, base salary of 3.191 EUR per month, see https://www.snesup.pt/htmls/_dlds/Vencimentos_e_quotas_irs_2018.pdf ).

The full details are here:

Cumprimentos / Regards,
— 
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
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New Springer book: Modern Optimization with R
http://www.springer.com/mathematics/book/978-3-319-08262-2
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[rede.APPIA] ECIR2020: Short-papers, Demos and Reproducibility deadline extension

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ECIR 2020 :: 42nd European Conference on Information Retrieval http://www.ecir2020.org/

Lisbon
April 14 -17, 2020
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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
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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
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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
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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
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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
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(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