Are you passionate about large-scale distributed and database systems? Would you like to work in a startup-like environment on cutting edge systems technology and have your work impact hundreds of millions of users around the globe?
Join us in designing and building Apple's next generation storage, infrastructure and cloud services!

The CloudKit team (part of Apple's iCloud) is looking for researchers and software engineers with the following qualifications:

- MSc or PhD in Computer Science or related field
- Experience in building systems and systems software development
- Expertise in one or more of the following areas: query optimization, database systems, distributed systems, machine learning
- Strong publication record is a plus

Positions are in Cupertino, Seattle, San Francisco, Boston.

More about CloudKit:
- VLDB'18 paper: http://www.vldb.org/pvldb/vol11/p540-shraer.pdf
- Videos, tutorials, and SDK: https://developer.apple.com/icloud/

To apply, please email CV to: This email address is being protected from spambots. You need JavaScript enabled to view it. or to This email address is being protected from spambots. You need JavaScript enabled to view it.

Lunedì 26/03/2018 al posto della lezione di laboratorio si terrà una lezione di esercitazioni in preparazione alla prima prova parziale.

Gli studenti con cognome A-L faranno lezione presso il laboratorio LINFA, quelli con cognome L-Z presso il laboratorio INFOMEC.

Professor Sonia Bergamaschi is General Chair at the SEBD 2018 - 26th Italian Symposium on Advanced Database Systems.

The twenty-sixth edition of the Italian Symposium on Advanced Database Systems (SEBD - Sistemi Evoluti per Basi di Dati) is organized by Politecnico di Bari and Università degli Studi di Modena e Reggio Emilia. It will take place in Castellaneta Marina (Taranto) at ETHRA RESERVE (Ex Nova Yardinia) from June 24th to June 27th 2018.

For more information visit the conference website http://sisinflab.poliba.it/sebd/2018/

During the conference, Giovanni Simonini will present the paper "Towards Progressive Search-driven Entity Resolution" (full author list: Alberto Pietrangelo, Giovanni Simonini, Sonia Bergamaschi, Ioannis Koumarelas, and Felix Naumann).

Si avvisa che il ricevimento della professoressa Bergamaschi che avrebbe dovuto tenersi giovedì 15/02/2018, è anticipato a mercoledì 14/02/2018 alle ore 16.00.

Venerdì 15 Dicembre 2017, ore 16,30-18,00, nell'Aula P1.6, il dottore di ricerca Matteo Interlandi, terrà il Seminario:
"Quick Develoment Big Data Analytics Tools"

Abstract: Implementing data processing logic in Data-Intensive Scalable Computing (DISC) systems is a difficult and time consuming effort. Today’s DISC systems offer many special purpose programming models and Domain Specific Languages, but very little tooling for debugging and profiling programs. As a result, programmers spend countless hours in stitching together subprograms written using different APIs, and performing trial and error debugging using log traces as evidences. To aid this effort, in the last years I have help in building a set of tools allowing developers to reduce the overall time to market for their Big Data Analytics. In particular, in this talk I will describe how relational, graphs and machine learning applications can be efficiently run at scale using the tooling I contributed to develop."

Bio: Matteo Interlandi is a Research Scientist in the Cloud and Information Services Lab (CISL) at Microsoft, working on scalable Machine Learning Systems. Before Microsoft, he was a Postdoctoral Scholar in the CS Department at the University of California, Los Angeles. Prior to joining UCLA, he was Research Associate at the Qatar Computing Research Institute and at the Institute for Human and Machine Cognition. He obtained his PhD in Computer Science at the University of Modena and Reggio Emilia under the supervision of Sonia Bergamaschi.

Venerdì 15 Dicembre 2015, ore 14,00-16,00, nell'Aula P1.6, nell'ambito degli Insegnamenti di Big Data Analysis e Progettazione del Software del Corso di laurea magistrale in INGEGNERIA INFORMATICA, il dottore di ricerca Matteo Interlandi, terrà il  Seminario:

" Big data analytics beyond MapReduce"

Abstract: MapReduce was introduced by Google in 2004. Thanks to its functional programming abstraction and fault-tolerant distributed framework, MapReduce makes easy to write parallel programs. In 2004 MapReduce was mostly used for web indexing; however nowadays we are seeing different type of applications (relational, graphs or machine learning analytics for example) which does not fit well within the MapReduce paradigm. In this talk I will use some research projects I have been working on in the past years to (1) introduce Apache Spark and Apache REEF; (2) describe how relational, graphs and machine learning applications can be efficiently run at scale using such systems; and (3) illustrate system's pros, cons and design choices.

Bio: Matteo Interlandi is a Research Scientist in the Cloud and Information Services Lab (CISL) at Microsoft, working on scalable Machine Learning Systems. Before Microsoft, he was a Postdoctoral Scholar in the CS Department at the University of California, Los Angeles. Prior to joining UCLA, he was Research Associate at the Qatar Computing Research Institute and at the Institute for Human and Machine Cognition. He obtained his PhD in Computer Science at the University of Modena and Reggio Emilia under the supervision of Sonia Bergamaschi.

La Prof.ssa Sonia Bergamaschi Bergamaschi ha rappresentato Unimore, delegata dal Magnifico Rettore, all'inaugurazione della nuova sede di Modena di Quix.

On Tuesday, 12nd September, at the social dinner of RTSI 2017, Giovanni Simonini will receive the prize given from IEEE for the best 2016 PhD Thesis.
For more information visit http://www.computersociety.it/ieee-computer-society-italy-section-chapter-2016-phd-thesis-award/