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: April 19, 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@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
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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@unisalento.it E-mail cafaro@ieee.org E-mail cafaro@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@cmcc.it
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