The position is related to ESR4, for research on
Large Scale Data Management and Integration
DEADLINE: April 19, 2022
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/
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/h2020-wp1820-msca_en.pdf)
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@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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