Candidaturas: de 15-11-2019 a 28-11-2019.
Category: [rede.APPIA]
A [rede.APPIA] é a lista de distribuição de correio electrónico da APPIA, com o objectivo de divulgar notícias de interesse para a comunidade científica da Inteligência Artificial, disponível através do endereço rede [at] appia [ponto] pt.
[rede.APPIA] MSc holder and BSc-holder positions on Machine Learning at FCUP / University of Porto in collaboration with Bosch
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.pt; recrutamento@fc.up.pt; dutra@fc.up.pt) with the
– Motivation letter
– Academic certificates
– Detailed curriculum vitae
– Other relevant documents such as reference letters
**Deadline: 06/11/2019
More info (in Portuguese):
[rede.APPIA] Fwd: Aula Aberta: BIG DATA NA INVESTIGAÇÃO CRIMINAL
[rede.APPIA] Oferta de emprego para Mestre na área de IA
Viva,
Pedia a divulgação desta oferta de emprego, no âmbito do CoLAB ProChild, para Mestres, Engenheiro/a de Inteligência Artificial, com um valor de base mensal de referência de 1.800,51 €:
www.eracareers.pt/opportunities/index.aspx?task=global&jobId=119702
Cumprimentos / Regards,
[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
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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
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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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