April 2021 - computational.science

Research Opportunity: AI/ML for anomaly detection and metric forecasting in data center operations
by Tommaso Cucinotta 02 Apr '21

02 Apr '21

Dear all, at Scuola Superiore Sant'Anna in Pisa (Italy), we are offering 2 yearly (renewable) research associate positions in the area of "Artificial Intelligence and Machine Learning supporting anomaly detection and metric forecasting in data center operations", an industrial research project funded by the Vodafone network operator. More information about the project is available at: English: https://www.santannapisa.it/en/news/artificial-intelligence-telecommunicati… Italian: https://www.santannapisa.it/it/news/intelligenza-artificiale-e-telecomunica… Additional information is also available at: https://www.linkedin.com/pulse/two-research-positions-ai-nfv-scuola-superio… The call for applications (due on April, 6th, at 11:59am CET) is available at: English: https://www.santannapisa.it/en/assegni-di-ricerca-e-selezioni/institute-com… Italian: https://www.santannapisa.it/it/assegni-di-ricerca-e-selezioni/istituto-di-t… Should you need further information, don't hesitate to write me. Feel free to forward this message to potentially interested colleagues. Thanks and regards, Tommaso Cucinotta -- Tommaso Cucinotta, Associate Professor in Computer Engineering, PhD Head of the Real-Time Systems Laboratory (ReTiS) Scuola Superiore Sant'Anna, Pisa, Italy http://retis.sssup.it/people/tommaso

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CFP: FiCloud 2021 - Deadline Extended
by FiCloud Conference 01 Apr '21

01 Apr '21

---------------------Call for Papers - Deadline Extended ------------------------------ The 8th International Conference on Future Internet of Things and Cloud (FiCloud 2021) IEEE-CS TCI 23-25 August 2021, Online (Virtual) http://www.ficloud.org/2021/ ------------------------------------------------------------ Cloud is a modern computing platform for delivering on-demand computing services to service consumers over the Internet. Computing services include, for example, storage, memory, compute power, databases, and networking among others. Cloud services are generally provided using SaaS (Software-as-a-Service), PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as-a-Service). Unlike conventional distributed computing, cloud offers flexibility, scalability, efficiency and elasticity in service provisioning. The Internet of Things (IoT) provides a dynamic and global network infrastructure which is characterized by intelligent and self configuring capabilities. IoT is considered as an integral part of the future Internet. It is based on interoperable communication protocols in order to enable the interaction and integration of virtual as well as physical Things such as computers, smart devices, sensors, cars, refrigerators, food packages, medicines, etc. Things can be seamlessly integrated into the information network and interaction can be made through the provision of intelligent interfaces. In not so distant future, IoT will be forcing its way into every aspect of our lives and technologies including smart homes, smart cities, environment and nature, green energy, food, medicine, automotive, aerospace and aviation, telecommunication, and so on. IoT is generally characterized by real world and small Things, limited capacity, constrained devices and the consequential issues such as less reliability, security and privacy. Cloud computing on the other hand deals mainly with virtual world and has unlimited capabilities in terms of storage and processing power. Thus cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner. The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing. CONFERENCE TRACKS: 1. Cloud Services Models 2. Security, Privacy and Trust 3. Software Systems, Models and Architectures 4. Blockchain in Cloud and IoT 5. Data and Knowledge Management 6. Context-aware Systems 7. Software-defined Networking 8. Performance Evaluation and Modelling 9. Networking and Communication Protocols 10. IoT Services and Applications 11. Smart Environment 12. Machine learning in Cloud and IoT 13. Energy Efficiency 14. Federation and Virtualization 15. Fog and Edge Computing 16. Industry Track 17. General Track – Future IoT and Cloud Computing Important Dates: Submission Deadline: 15 April 2021 (Firm) Authors Notification: 20 May 2021 Final Manuscript Due: 15 June 2021 Conference Venue: The organizing committee is carefully monitoring the Covid-19 situation. The safety and well-being of the conference participants is the main priority. The committee will confirm by Spring 2021 of whether to hold the conference onsite in Rome or as an online event. Paper submission and Publication: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 6 pages. Papers should be prepared using IEEE two-column template. See instructions on the conference website ( http://www.ficloud.org/2020/) All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services. Authors of selected papers will be invited to submit extended versions of their papers for special issues in international journals (see conference website).

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Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) at Hong Kong Baptist University (2 vacancies)
by COMP HKBU 01 Apr '21

01 Apr '21

The Department of Computer Science at Hong Kong Baptist University, presently 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) (2 vacancies) (PR0311/18-19) The appointees will perform high-impact research, to teach and supervise students at undergraduate and postgraduate levels, and to 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) secure 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, 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 enquiry, please contact Dr. William Cheung, Head of Department (email: william(a)comp.hkbu.edu.hk) More information about the Department can be found at http://www.comp.hkbu.edu.hk. *Those who have responded to the previous advertisement need not re-apply.* *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. Review of applications is on-going until the position is filled. URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=503

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