Prof. Sonia Bergamaschi is the expert reviewer for the quality of Finnish reasearch in Computer Science. Helsinki, 16th February 2017.

Prof. Sonia Bergamaschi is going to present Big Data activities of the CINI consortium, Tuestday at BigDat 2017. 

We are looking for a junior or senior developer to join our data science team.  You will create dynamic web-based portals, applications, and user interfaces. You will be responsible for taking early stage concepts to create wireframes and refine those wireframes into deployable code. You will work with the team on enhancing a portal framework including big data stack.  Interested applicants please send your resume to This email address is being protected from spambots. You need JavaScript enabled to view it. .

Ideal candidate would have practical experience with various databases, data analysis, and big data techniques and packages. The person should be self-starter and should be able to work with various open source tools.
- At least 2 years of experiences in developing user interfaces and dynamic web applications
o AngularJS, JavaScript, and Spring framework
o SSO, LDAP tools or open sources
- Experiences in big data stack – Hadoop, NoSQL, RDBMS
- Experiences in automated build, deploy, testing and virtualization tools (Docker, Jenkins, Maven)
- Knowledge with Google Map APIs

- Knowledge in Spark, Neo4j, MongoDB, Impala/Hive, Hbase
- Knowledge in machine learning tools such as R, Python packages, and Spark MLlib

About iconectiv
Telcordia Technologies, Inc., a wholly owned subsidiary of Ericsson, doing business as iconectiv, develops market leading solutions that enable operators to interconnect networks, devices and applications critical to evolving the global telecommunications marketplace.  iconectiv's powerful, trusted, neutral solutions for the telecommunications industry includes number portability clearinghouses, mobile messaging services, anti-theft mobile device registries, spectrum management databases and other interconnection information services.  iconectiv's solutions are used by more than 1,000 operators, regulators and content providers and are currently used to provide services to over 1 billion end users.
We are proud to be an EOE Minorities/Females/Protected Veterans/Disabled employer. The Company’s status is a VEVRAA Federal Contractor.  Request Priority Protected Veteran Referrals. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

Sonia Bergamaschi partecipa al Forum Big data per l’industria bancaria e finanziaria a Roma il 25 e 26 Ottobre 2016 link:

La prof. Sonia Bergamaschi parteciperà alla giuria del Techgarage, che si terrà il prossimo 20 ottobre a Reggio Emilia, presso l’Aula Magna Manodori.

Techgarage è L’evento finale della business plan competition regionale, START CUP Emilia-Romagna 2016.

Monday, 10 October 2016 12:39

Data Challenges WS 2016

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Call for Participation

The Frankfurt Big Data Lab is announcing 

Data Challenges WS 2016

(Winter Semester 2016/2017)

Course Description: Students will take part to two Data Challenges. One offered by Deutsche Bahn AG and one offered by ING-DiBaBank.

Eligibility: Bachelor Students, Master Students, and PhD students across multiple disciplines are encouraged to attend the kickoff and to sign up for one Data Challenge.

Students in Computer Science, Mathematics, Data Science, Information Systems, Business Computer Science, and others will form teams of 2 to explore the questions posed.  Team members are required to attend the kick-off lecture to sign-up for this project.

Course Registration:  You have to register for the Data Challenge WS 2016 in the form below. Registration is preferable in teams of 2 persons. Deadline for registration is Thursday, 20.10.2016.

Data Challenges:

Among the teams that successfully complete both phases of the project, winners will be awarded a price:


Monday, 01 August 2016 11:59

"Big Data Analytics" course

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From September 19th to September 22nd 2016, the DBgroup will hold a course on "Big Data Analytics" in collaboration with CINECA.

The instructors are:

  • Prof.ssa Sonia Bergamaschi, dbgroup
  • Givanni Simonini, dbgroup
  • Song Zhu, dbgroup
  • Giuseppe Fiameni, CINECA
  • Roberta Turra, CINECA
  • Giorgio Pedrazzi, CINECA
  • Antonio Macaluso, CINECA

The course tackles the fundamental technologies to handle, and to extract value from, the so-called Big Data: Apache Hadoop/Spark, basic MapReduce programs, SQL on Spark, Machine Learning on Spark, and R language on Spark.

The main language for the course is Python. Although, experience in Python programming is not required to successfully complete the course.

Link to the detailed program:

Job description:
  • Python developer to maintain and extend the backend of Smartlis (a web-based Laboratory Information System)
  • The candidate will give high-level support to upcoming projects and already running laboratories in 24/7 mission critical contexts
  • Knowledge and experience programming in Python/Django

  • Knowledge of libraries used to connect to typical backend related systems: databases (Postgres, CouchDB, SQLServer), messaging queues (RabbitMQ...), web servers (Apache, Tomcat, NGINX), etc...

  • Strong analytical and problem solving skills

  • Experience in developing and/or supporting 24/7 mission critical applications

  • Capacity for teamwork

  • Willingness to ensure compliance with team directives and initiative to propose new ones

  • Self-learning ability

  • High level of English language

  • Kindness

Optional Skills:
  • Experience in C++/JavaScript/Java programming languages and their most used frameworks

  • Knowledge of other backend technologies (Node, PHP, Ruby...)

  • Frontend programming (HTML, CSS, JavaScript, ...)

  • Management and maintenance of backend related systems: databases (SQL and NoSQL), search engines, messaging, web servers, etc...

  • Understanding of clinical laboratory workflow

On Monday 18th July, prof. Laura Po is going to present Exploration, Visualization and Querying of Linked Open Data sources at the second Keystone Training School in Santiago de Compostela.

Here are the slides of the talks

Introduction to linked open data - morning session 

Exploration, visualization and querying of linked open data sources - afternoon hands-on session

The paper "Blast: a Loosely schema-aware Meta-blocking Approach for Entity Resolution", by Giovanni Simonini, Sonia Bergamaschi and H.V. Jagadish, has been accepted at VLDB 2016.

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