Systems) - Research Grant at the University of Salento, Lecce, Italy
Who we are
The University of Salento is a young dynamic university, keen to expand
and to prove itself at a national and international level. Since 1955
the University of Salento has had the aim of promoting knowledge, skill
and merit and has offered a large range of educational opportunities.
From law to science, economics to engineering, humanities to media
studies, the university provides academic pathways to a range of
professions as well as post- graduate and specialist courses tailor made
to meet the needs of the workplace. Eight Departments providing services
and information for students, as well as thirty-three Research Centres
throughout the Salento area. The University of Salento has grown rapidly
in recent years, consolidating and reinforcing its role as the keystone
of the local cultural and social system. It also has a Ph.d. School and
Post-graduate schools for Cultural Heritage and for the Legal
Professions. The prestigious ISUFI Grandes écoles school offers
high-level undergraduate and postgraduate courses for scholarship
students to promote excellence.
Who we are looking for
We are seeking for exceptional, talented applicants committed to work in
the context of the European project InnoCyPES (Innovative Tools for
Cyber-Physical Energy Systems), a Marie Curie Action Innovative Training
Network providing world-leading and transferable scientific training to
a new generation of 15 high-achieving early stage researchers (ESRs). In
the course of their training, they will study, investigate and improve
various facets of digitalized and interconnected energy systems.
Supervised by a consortium of prominent and experienced academic
institutions, research institutes and industrial partners, they will
collaboratively develop a cutting-edge system management platform that
covers the entire lifecycle of data for energy system planning,
operation and maintenance, based on an understanding of the energy
system as a cyber-physical system.
The ESR research activity will be carried out on premises mainly at the
University of Salento. We invite applications from candidates working in
the field of Computer Science, who have experience and strong knowledge
with regard to data management (database etc), distributed systems,
Peer-to-Peer systems and blockchains, and who have a strong interest in
the research topic, covering large scale data management and
integration. Excellent programming skills in C/C++ in the Unix
environment are also required. We are aware of the fact that knowing all
the subjects listed above is even very difficult for a Master of Science
student. Therefore, highly motivated students who know some of the above
subjects listed above are encouraged to apply. Prospective candidates
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. Additional requirements are listed in the
official public call.
The successful candidate will work in close cooperation with prof.
Massimo Cafaro and the members of the High Performance Computing
Laboratory at the University of Salento. Two secondments of four months
each at partners institutions are scheduled, along with the
participation in schools and workshops organised within the framework of
the InnoCyPES project. Moreover, the candidate will be given ample
opportunity to publish his/her scientific results and present them at
international conferences. The research grant will cover the ESR
position for 30 months. Additional funding may be obtained by project's
partners covering a further six months to be spent in their laboratories.
Details
Position: research grant at the Department of Engineering for
Innovation, University of Salento, Lecce, Italy
Duration: 30 months
Deadline for application: April 6, 2023
Remuneration: The research grant will last 30 (thirty) months. 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 topic: Large scale data management and integration
This is a 30 months "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.
The official public call is available here (In Italian and English):
https://www.unisalento.it/bandi-concorsi/-/bandi/view/66493326
Direct download link:
https://www1.unisalento.it/c/document_library/get_file?p_l_id=63872469&folderId=66493327&name=DLFE-644426.pdf
Application and declaration forms:
https://www1.unisalento.it/c/document_library/get_file?p_l_id=63872469&folderId=66493327&name=DLFE-644425.docx
Prospective candidates can contact prof. Massimo Cafaro at
massimo.cafaro@unisalento.it for additional information and, if
required, for assistance in compiling the application.
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Prof. Massimo Cafaro, Ph.D.
Associate Professor of Parallel Algorithms and Data Mining & Machine
Learning
Head of HPC Lab https://hpc-lab.unisalento.it
Director of Master in Applied Data Science
Department of Engineering for Innovation
University of Salento, Lecce, Italy
Via per Monteroni
73100 Lecce, Italy
Voice/Fax +39 0832 297371
Web https://www.massimocafaro.it
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
The sum of the intelligence on the planet is a constant; the population
is growing.
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