computational.science May 2022

computational.science@lists.iccsa.org

4 participants
4 discussions

Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) at Hong Kong Baptist University
by COMP HKBU 31 May '22

31 May '22

The Department of Computer Science at Hong Kong Baptist University offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following faculty positions on tenure-track. *Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) (PR0395/21-22)* The appointees will perform high-impact research, teach and supervise students at undergraduate and postgraduate levels, and contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) security and privacy-aware computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high quality research in areas including but not limited to: Internet of things, Cyber-security, High-performance computing, Big data analytics, Art technologies and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. Initial appointment will be offered on a fixed-term contract of three years. Re-appointment thereafter will be subject to mutual agreement. For enquiries, please contact Professor Jianliang Xu, Head of Department (email: xujl(a)comp.hkbu.edu.hk). More information about the Department can be found at https://www.comp.hkbu.edu.hk. *Rank and salary will be commensurate with qualifications and experience.* *Application Procedure:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with *PR *number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. *Closing date: Shortlisting will start immediately until the position is filled.* *URL: *https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=743

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Ph.D. position: Deep learning for estimating the impact of drones on a mobile network
by Tayeb Lemlouma 19 May '22

19 May '22

>> Apologies for cross-posting << *Ph.D. positions at Orange and IRISA Labs (Lannion, France):* *Deep learning for estimating the impact of drones on a mobile network* *Summary* The objective of the thesis is to model and evaluate the impact of connected drone trajectories on a radio access network. This should consider road axes and cellular coverage of operators. The purpose of the model should consider planned drone routes to (1) minimize the impact in terms of traffic on RANs (radio access network), (2) avoid interference between drones and sensitive areas, and (3) maintain good QoE for the user equipments (UEs). *Required competencies:* knowledge of mobile networks, Deep Learning (ideally PyTorch or Tensorflow), Graph theory, Python, shell, Matlab, good communication in English, team work curiosity & open-mindedness. *How to apply?* https://orange.jobs/jobs/offer.do?joid=112419&lang=EN <https://orange.jobs/jobs/offer.do?joid=112419&lang=EN> *More details:* In English: details <https://orange.jobs/jobs/offer.do?joid=112419&lang=EN> In French: details <https://orange.jobs/jobs/offer.do?joid=112418&lang=FR> Please forward to anyone who may be interested. Thanks. >> Apologies for cross-posting <<

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[PSD 2022, MAY 22, Hard Deadline] PRIVACY IN STATISTICAL DATABASES, Springer LNCS, Paris, France, Sept. 2022
by Joaquin Garcia-Alfaro 19 May '22

19 May '22

** Apologies for Cross-postings -- please share ** PRIVACY IN STATISTICAL DATABASES 2022 (PSD 2022) ============================================ Paris, France, September 21-23, 2022 https://crises-deim.urv.cat/psd2022/ Submission deadline: *MAY 22, 2022* (Hard deadline. It has already been extended one week). Submission link: https://easychair.org/conferences/?conf=psd2022 Follow our twitter account to receive the latest news: @PSD_Conference 1. AIMS AND GOAL ----------------- Privacy in statistical databases is about finding tradeoffs to the tension between the increasing societal and economical demand for accurate information and the legal and ethical obligation to protect the privacy of individuals and enterprise which are the respondents providing the statistical data. In the case of statistical databases, the motivation for respondent privacy is one of survival: data collectors cannot expect to collect accurate information from individual or corporate respondents unless these feel the privacy of their responses is guaranteed. Beyond respondent privacy, there are two additional privacy dimensions to be considered: privacy for the data owners (organizations owning or gathering the data, who would not like to share the data they have collected at great expense) and privacy for the users (those who submit queries to the database and would like their analyses to stay private). "Privacy in Statistical Databases 2022" (PSD 2022) is a conference with proceedings published by Springer-Verlag in Lecture Notes in Computer Science. The purpose of PSD 2022 is to attract world-wide, high-level research in statistical database privacy. PSD 2022 is a successor to PSD 2020 (online, Sep. 23-25, 2020, https://unescoprivacychair.urv.cat/psd2020/), PSD 2018 (Valencia, Sep. 26-28, 2018, https://unescoprivacychair.urv.cat/psd2018/), PSD 2016 (Dubrovnik, Sep. 14-16, 2016, https://unescoprivacychair.urv.cat/psd2016/), PSD 2014 (Eivissa, Sep. 17-19, 2014, http://unescoprivacychair.urv.cat/psd2014/), PSD 2012 (Palermo, Sep. 26-28, 2012, http://unescoprivacychair.urv.cat/psd2012), PSD 2010 (Corfu, Sep. 22-24, 2010, http://unescoprivacychair.urv.cat/psd2010), PSD 2008 (Istanbul, Sep. 24-26, 2008, http://unescoprivacychair.urv.cat/psd2008), PSD 2006 (Rome, Dec. 13-15, 2006, http://crises-deim.urv.cat/psd2006) and PSD 2004 (Barcelona, June 9-11, 2004, http://crises-deim.urv.cat/psd2004), all with proceedings published by Springer in LNCS 12276, LNCS 11126, LNCS 9867, LNCS 8744, LNCS 7556, LNCS 6344, LNCS 5262, LNCS 4302 and LNCS 3050, respectively. Those ten PSD conferences follow a tradition of high-quality technical conferences on SDC which started with "Statistical Data Protection-SDP'98", held in Lisbon in 1998 and with proceedings published by OPOCE, and continued with the AMRADS project SDC Workshop, held in Luxemburg in 2001 and with proceedings published in Springer LNCS 2316. Like the aforementioned preceding conferences, PSD 2022 originates in Europe, but wishes to stay a worldwide event in database privacy and SDC. Thus, contributions and attendees from overseas are welcome. 2. ORGANIZATION --------------- PROGRAM COMMITTEE - Jane Bambauer (University of Arizona, USA) - Bettina Berendt (Technical University of Berlin, Germany) - Aleksandra Bujnowska (EUROSTAT, European Union) - Jordi Castro (Polytechnical University of Catalonia) - Anne-Sophie Charest (Universite Laval, Quebec, Canada) - Peter Christen (Australian National University, Australia) - Christopher Clifton (Purdue University, USA) - Graham Cormode (University of Warwick, UK) - Roberto DiPietro (Hamad Bin Khalifa University, Qatar) - Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia) - Joerg Drechsler (IAB, Germany) - Khaled El Emam (University of Ottawa, Canada) - Mark Elliot (Manchester University, UK) - Sebastien Gambs (Universite du Quebec a Montreal) - Sarah Giessing (Destatis, Germany) - Marc Juarez (University of Southern California, USC) - Hiroaki Kikuchi (Meiji University, Japan) - Maryline Laurent (Telecom SudParis-Institut Polytechnique de Paris, France) - Bradley Malin (Vanderbilt University, USA) - Anna Monreale (Universita di Pisa, Italy) - Krish Muralidhar (The University of Oklahoma, USA) - David Naccache (Ecole Normale Superieure, France) - Benjamin Nguyen (INSA Centre Val de Loire, France) - Anna Oganyan (National Center for Health Statistics, USA) - Melek Onen (Eurecom, France) - Constantinos Patsakis (University of Piraeus, Greece) - Jerry Reiter (Duke University, USA) - Yosef Rinott (Hebrew University, Israel) - Salvatore Ruggieri (Universita di Pisa, Italy) - Steven Ruggles (University of Minnesota, USA) - Nicolas Ruiz (OECD) - Pierangela Samarati (University of Milan, Italy) - David Sanchez (Universitat Rovira i Virgili, Catalonia) - Monica Scannapieco (ISTAT, Italy) - Eric Schulte Nordholt (Statistics Netherlands) - Natalie Shlomo (University of Manchester, UK) - Aleksandra Slavkovic (Penn State University, USA) - Jordi Soria-Comas (Catalan Data Protection Authority, Catalonia) - Tamir Tassa (The Open University, Israel) - Vicenc Torra (Umea University, Sweden) - Rolando Trujillo-Rasua (Deakin University, Australia) - Lars Vilhuber (Cornell University, USA) - Peter-Paul de Wolf (Statistics Netherlands) PROGRAM CHAIR - Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia) GENERAL CHAIR - Maryline Laurent (Telecom SudParis-Institut Polytechnique de Paris, France) ORGANIZATION COMMITTEE - Samia Bouzefrane (CNAM, France) - Joaquin Garcia-Alfaro (Telecom SudParis-Institut Polytechnique de Paris, France) - Miriam Guillem (Universitat Rovira i Virgili, Catalonia) - Jesus Manjon (Universitat Rovira i Virgili, Catalonia) 3. TOPICS OF INTEREST --------------------- Topics of interest include but are not limited to: - New anonymization methods for tabular data - New anonymization methods for microdata (including non-conventional microdata types such as trajectories, graphs, etc.) - Best anonymization practices for tabular data - Best anonymization practices for microdata - Co-utility for privacy preservation - Big data anonymization - Streaming data anonymization - Decentralized anonymization - Balancing data quality and data confidentiality in SDC - Differential privacy and other privacy models - SDC transparency issues - Onsite access centers - Remote access facilities - SDC software - Estimating disclosure risk in SDC - Record linkage methods - Real-life disclosure scenarios in EU-member states and abroad - Privacy preserving data mining (both cryptographic and non-cryptographic) - Private information retrieval - Privacy in web-based e-commerce - Privacy in healthcare - Privacy in official and corporate statistics - Other data anonymization issues 4. SUBMISSIONS -------------- Full papers containing either original technical contributions or high-quality surveys on the above topics or on related topics are sought. Camera-ready versions of accepted papers should be prepared using the LaTeX2estyle or the Word template of Springer Verlag Lecture Notes in Computer Science. For LaTeX2e, a macro package llncs.zip and an example file typeinst.zip can be downloaded from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…. For Microsoft Word, a template word.zip can be downloaded from the same page above. We encourage authors to use the above formats already for their submissions. LENGTH OF SUBMISSIONS. Using the above format with 11 point font, the paper should be at most 12 pages excluding bibliography and appendices, and at most 16 pages total. Committee members are not required to read appendices; the paper should be intelligible without them. Submissions not meeting these guidelines risk rejection without consideration of their merits. 5. PROCEEDINGS -------------- Among PSD 2022 accepted papers, a selection will be made based on quality and coverage and the selected papers will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. This follows the tradition of the previous PSD conferences. The remaining accepted papers will be published in a USB with an ISBN. It is possible to submit a paper directly for the USB, which benefits from a later submission deadline and no copyright transfer (see USB-only dates below). The form of publication of an accepted paper will be clearly specified in the acceptance message. Both the LNCS volume and the USB will be *available at the conference*. 6. IMPORTANT DATES ------------------ Submission deadline: *May 22, 2022** (Hard deadline. It has already been extended one week) Acceptance notification: June 17, 2022 Proceedings version due: June 26, 2022 USB-only submission deadline: June 26, 2022 USB-only acceptance notification: July 6, 2022 USB-only proceedings version due: July 13, 2022 Conference: Sep. 21-23, 2022 7. VENUE AND TRAVEL ------------------- The conference will take place at the headquarters of the Conservatoire National des Arts et Metiers (CNAM) in central Paris. Further venue, travel and accomodation information will be posted no later than June 2022 at https://crises-deim.urv.cat/psd2022 8. REGISTRATION --------------- Registration information will be posted no later than June 2022 at http://crises-deim.urv.cat/psd2022

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[NEW DEADLINE] ESR 3 years research grant - Marie Skłodowska-Curie Action - InnoCyPES European project
by Massimo Cafaro 18 May '22

18 May '22

A three years research grant is available within the InnocyPES European project. The position is related to ESR4, for research on Large Scale Data Management and Integration DEADLINE: June 2, 2022 Ukranian Researchers are strongly encouraged to apply! Downloadable application forms etc are available: official Italian documents: https://www.unisalento.it/bandi-concorsi/-/bandi/view/66046831 unofficial English translation: http://sara.unisalento.it/~cafaro/page-3/ InnoCyPES announcement: https://innocypes.eu/index.php/2022/03/29/esr-4-large-scale-data-management… Foreign candidates are strongly encouraged to contact Prof. Cafaro by email (massimo.cafaro(a)unisalento.it) if they need help/support in order to prepare their application. A public selection procedure is called for a research grant for collaboration in research activities (hereinafter referred to as research grant), at the Department of Innovation Engineering of the University of Salento. The location, the duration, the amount, the scientific disciplinary sector, the scientific referent, the structure available to the winner and the program of the research grant are specified below: STRUCTURE Department of Engineering for Innovation, University of Salento, Lecce, Italy DURATION 3 years REMUNERATION The research grant will last 3 (three) years. The annual remuneration, gross of charges to be borne by the beneficiary and inclusive of contributions and social security charges to be borne by the University of Salento, consists of the following items: 1. Living allowance: Euro 40,966.56 (forty thousand nine hundred and sixty-six/56); 2. Mobility allowance: Euro 7.200,00 (seven thousand two hundred/00); 3. Family allowance: 3.1.Euro 0 (zero) per researcher without family obligations; 3.2.Euro 6,000.00 (six thousand/00) for researchers with family obligations (married or with a relationship recognised by Italian law or that of the country of origin or with dependent children). SCIENTIFIC SUPERVISOR Prof. Massimo Cafaro RESEARCH TITLE LARGE SCALE DATA MANAGEMENT AND INTEGRATION DESCRIPTION This is a three year “Marie Curie ETN Early Stage Researcher position” on the following topic. The sheer quantum of data being created and collected across jurisdictions requires a carefully planned and proactive approach to data management. The need for fusion and integration of multiple data sources characterized by fragmented data ownership is driving innovative approaches to large scale distributed data management and integration to avoid inconsistent and inaccurate data. The aim is to investigate, design and implement a fully decentralized solution to provide efficient management of dynamically updated information and support for distributed queries. One or more domain specific use cases shall be identified within the context of the project, considering both the current and future needs of some of the involved partners. These nicely fit into the research plan, owing to the need of surveying the user’s requirements to begin with; simultaneously, the uses cases can also be thought of as sources of advanced data management challenges. For admission to the selection is required the possession of all the requirements provided by law for access to public employment, the eligibility requirements provided by the Marie Sklodowska- Curie Action (https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main…) and the following requirements: a) Master of Science degree in Computer Science or Computer Engineering or equivalent qualification that formally allows access to a PhD program in Italy; b) an excellent academic career; c) must not have carried out more than 4 years of research activity after obtaining the degree mentioned in the previous point within the expected starting date of the contract (indicatively fixed at 01.03.2022); d) have a background relevant to the following areas but not limited to: distributed computing, databases, distributed data management, security and privacy; knowledge of C/C++ programming languages and time series archiving/analysis is a plus; e) must not have a Ph.D. as of the contract start date; f) must not have resided or carried out the main activity of study/work in Italy for more than 12 months during the 3 years preceding the date of the beginning of the contract; g) have an excellent knowledge of the English language, in any case sufficient to ensure the performance of the activity envisaged by the contract and daily interaction in the working environment; h) must not have criminal convictions or have pending criminal proceedings of particular gravity. Lack of even one of the above requirements will result in exclusion from the selection process at any time. Qualifications obtained abroad must normally be previously recognized in Italy in accordance with current legislation. The equivalence of qualifications obtained abroad that have not already been recognized in Italy will be evaluated by the Selection Committee solely for the purpose of admitting the candidate to this call for selection. The qualifications must be possessed on the date of expiry of the deadline established for the presentation of applications for admission to this selection. The University of Salento guarantees equality and equal opportunities between men and women for the allocation of the grants in question and the protection of confidentiality in the processing of personal data, according to the provisions in force. The position is officially advertised at the University of Unisalento: https://www.unisalento.it/bandi-concorsi/-/bandi/view/66046831 ******************************************************************************************* Prof. Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining/Machine Learning Department of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org INGV National Institute of Geophysics and Volcanology Via di Vigna Murata 605 Roma CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ******************************************************************************************* --

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computational.science May 2022