Open Positions

Two open position are available

1) CLOUD SYSTEMS: candidates with experience on machine learning and, possibly,
performance modelling and assessment of cloud and big data systems with a
background on performance benchmarking.

2) SOFTWARE DEFINED NETWORKS: candidates with experience on research and
experimental testbeds of SDN architectures, controllers, and applications


Type of contract: Fixed term contract (CDD) for 12 months. The contract can be extended up to 24 months.

Gross salary:
26,000-38,000 EUR according to the experience.


Machine Learning, Hybrid Machine Learning and Performance Modelling of
Cloud systems, Software Defined Networking

Politecnico di Milano is one of the Technical Universities in Italy, it was
established in 1863 and it is ranked as one of the most outstanding European
universities in Engineering, Architecture and Industrial Design. In many
disciplines it is regarded as a leading research institution worldwide.
The number of students enrolled in all campuses is approximately 42,000.


The DEpendable Evolvable Pervasive Software Engineering (DEEP-SE) group works
within the Dipartimento di Elettronica e Informazione
It has been ranked among the “internationally excellent” groups in the software
engineering area by [Ren and Taylor, Commun. ACM 50, 6, Jun.2007]. This result
has been confirmed by an international peer review panel requested by
Politecnico di Milano.
The research activities of the DEEP-SE group (
focus on techniques, tools and frameworks for the development of complex
software systems. It encompasses a variety of aspects of such systems, ranging
from modeling and analysis issues in the early phases of their development,
to issues related to their implementation and runtime management with particular
emphasis on middleware solutions for self-management, resource allocation and
optimization. The group includes 14 faculties, 9 Post-docs, and 10 PhD students.


The ANTLab ( team has a long lasting experience on
the use of advanced mathematical tools for network optimization and traffic
management both for wired and wireless networks. It has also quite some
experience in the prototype implementation of SDN-based network solutions.
ANTLab has been involved so far in 4 H2020 projects, including BEBA
(Behavioural Forwarding) on advanced SDN solutions with stateful data planes.
ANTLab hosts a joint laboratory with Vodafone for testing and validating
solution for traffic analysis and engineering and 4G/5G radio access networks.
The team includes 4 faculty members, 9 PhD students, 2 post-docs, and 10-15
master students.


In this context, expressions of interest are being sought for two Post-doc
positions in the context of the ATMOSPHERE (Adaptive, Trustworthy, Manageable,
Orchestrated, Secure, Privacy-assuring, Hybrid Ecosystem for REsilient Cloud
Computing) project (, starting on
November 1st 2017 and running for 24 months.
ATMOSPHERE is a collaborative project funded under the EUB-01-2017 topic on
Cloud Computing and includes eight European partners (Politecnico Di Milano;
Universitat Politècnica de València, which is also the project coordinator from
the European side; Trust-IT Services Ltd; Universidade de Coimbra; Technische
Universität Dresden; University of Piraeus Research Center; QUantitative Imaging
Biomarkers In Medicine; DELL-EMC) and seven Brazilian partners (Universidade
Federal de Campina Grande, which is also the project coordinator from the
Brazilian side; Universidade Federal de Minas Gerais; Universidade Estadual
de Campinas; Universidade Federal do Amazonas; Universidade de Brasília;

ATMOSPHERE aims at the design and development of an ecosystem comprised of a
framework and a platform enabling the implementation of next generation
trustworthy cloud services on top of an intercontinental hybrid and federated
resource pool. The framework considers a broad spectrum of trustworthiness
properties and their measures. The platform supports the development, build,
deployment, measurement and evolution of trustworthy cloud resources, data
management services and data processing services, and is demonstrated on a
sensitive scenario consisting of a cloud-enabled secure and trustworthy
application for distributed telemedicine exploiting also GPGPU and
micro-container based systems.

We are looking for one Post-doc with experience on machine learning and,
possibly, performance modelling and assessment of cloud and big data systems
with a background on performance benchmarking.

A second Post-doc position is available in the area of Software Defined Networks.
We are looking for Post-doc with experience on research and experimental
testbeds of SDN architectures, controllers, and traffic engineering applications.

The successful candidates are expected to have a PhD degree in a relevant field
and a good publication record. Experience in collaborative research projects
and in supervising masters and undergraduate students will constitute a
preferential element.


Expertise in one of the following fields will be highly regarded: cloud
computing, performance evaluation, machine learning, software defined networking,
traffic engineering.

The working language will be English, knowledge of Italian is not required.

The position will be fixed-term for one year, renewable for an additional period
of another year. The starting date is negotiable but should be around December
1st 2017.


Inquiries and expressions of interest, including a curriculum vitae, a list of
publications (with a shortlist of the three most important papers), and an
outline of prospective research (no more than 2 pages) should be sent by e-mail
to Prof. Danilo Ardagna ( and Prof. Antonio Capone


Deadline for submissions:

October 30 2017 (submissions received after that date
are welcome and will be considered as long as the positions will be still