ESR 4 – Large Scale Data Management & Integration Public Service Announcement!

For informal inquiries and information about the application process, please contact Prof. Massimo Cafaro

🇪🇺🇺🇦 Ukranian Researchers strongly encouraged to apply! 🇺🇦🇪🇺

Offer 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 fordistributed 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.

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. 

Documentation for Prospective Candidates

The requirements for the position are the subject of Article 2 (Admission requirements). 
Candidates must read the whole public announcement documents in order to prepare for their application.

(Please note that the announcement has been translated into English for convenience so there may well be discrepancies)

Location

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