http://cs.gssi.it) --- an international PhD school and centre for
advanced studies located in L'Aquila, Italy --- has four available
postdoctoral positions. Three positions are in the context of three PRIN
projects funded by the Italian Ministry for University and Research, namely
- "ALGADIMAR: Algorithms, Games, and Digital Markets" (Gianlorenzo
D'Angelo, PI at GSSI),
- "Designing Spatially Distributed Cyber-Physical Systems under
Uncertainty (SEDUCE)" (Catia Trubiani, PI at the GSSI) and
- "IT MATTERS: Methods and Tools for Trustworthy Smart Systems" (Luca
Aceto, PI at the GSSI).
The fourth position is financed by the GSSI and can be filled in any of
the research themes within the group. See http://cs.gssi.it for more
information on research areas in CS@GSSI. .
The positions are briefly described below. Each position is for two
years and the salary is 36,000€ per year before taxes. All the positions
are renewable for a third year, if this is mutually agreeable.
How to apply: The application must be submitted through the online form
available at https://applications.gssi.it/postdoc/ by Thursday, 11 July
2019 at 6 p.m. (Central European Time). For more information, please
consult the Call for Applications at
https://applications.gssi.it/postdoc/ or write an email to the PIs of
the respective projects or to Luca Aceto.
Requirements: Candidates are expected to have a PhD degree in Computer
Science or related disciplines. Preference will be given to applicants
who have previous research experience on topics related to the themes of
the projects.
Postdoctoral position financed by the GSSI
Scientific profile: The successful candidate will have a strong research
record in one or more of the research areas within the Computer Science
group at the GSSI, namely algorithms for modern networks, formal methods
for reactive systems and model-based software engineering. We welcome
applications in any of those areas.
Postdoctoral position within the project "ALGADIMAR: Algorithms, Games,
and Digital Markets", supervised by Gianlorenzo D'Angelo:
http://www.gssi.it/people/professors/lectures-computer-science/item/456-d-angelo-gianlorenzo
Brief description of the project: Digital markets form an increasingly
important component of the global economy. The Internet has enabled new
markets with previously unknown features (e-commerce, web-based
advertisement, viral marketing, sharing economy, real-time trading), and
algorithms play a central role in many decision processes involved in
these markets. For example, algorithms run electronic auctions, adjust
prices dynamically, trade stocks, harvest big data to decide market
strategies and to provide recommendations to customers.
The focus of the proposal ALGADIMAR is on the development of new methods
and tools in research areas that are critical to the understanding of
digital markets: algorithmic game theory, market and mechanism design,
machine learning, algorithmic data analysis, optimization in strategic
settings. We plan to apply these methods so as to solve fundamental
algorithmic problems motivated by Internet advertisement, sharing
economy, mechanism design for social good, security games. While our
research is focused on foundational work —with rigorous design and
analysis of algorithms, mechanisms and games— it will also include
empirical validation on large-scale datasets from real-world applications.
Main activities: The research activity will be on one or more of the
following topics: design and analysis of algorithms; algorithms and data
structures for big data; approximation algorithms; combinatorial
optimization; algorithms for graphs and networks; autonomous agents and
mobile computing; distributed algorithms; algorithmic game theory,
algorithmic aspects of internet and social networks.
Postdoctoral position within the project "Designing Spatially
Distributed Cyber-Physical Systems under Uncertainty", supervised by
Catia Trubiani: https://cs.gssi.it/catia.trubiani.
Brief description of the project: Emerging scenarios such as autonomous
vehicles and the Internet-of-Things require large-scale cyber-physical
systems(CPS), i.e., computing devices that interact with the physical
world. To cope with their complexity, model-based design has long been
advocated as a prominent approach for their rigorous development.
However, the state of the art does not adequately account for two major
issues: space, to capture the distribution of CPS devices as well as
their mobility; and uncertainty, e.g., to reflect lack of knowledge
about the environment, the accuracy of the model, or errors occurring in
the real world. Our goal is to develop modelling and analysis techniques
for CPS where space and uncertainty are first-class citizens. We
envisage a component-based framework where digital and physical
components have locality and mobility features, and where uncertainty is
captured by means of probabilistically distributed activities to
describe their dynamics. We devise a system to specify spatio-temporal
CPS requirements, turning them into probabilistic spatio-temporal
logical specifications that will be at the basis of efficient algorithms
for the analysis, verification, and synthesis. We will apply our
techniques to real case studies on smart buildings and crowd-navigating
robots.
Main activities: The successful candidate will developa component-based
modelling language for the specification of cyber physical systems,
where digital components (i.e., the computational devices), need to
co-exist with physical components (i.e., the dynamical models of the
physical world). Each component will feature an appropriate location and
mobility model. Uncertainty will be specified with either
probabilistically distributed activities, or nondeterministically,
leading to reasoning that will take into account worst- and best-case
scenarios under any possible value of such uncertain actions. The
modelling framework will allow the specification of spatio-temporal
requirements, which establish the behavioural guarantees to be satisfied
by the CPS under analysis.
The postdoctoral researcher will work with Catia Trubiani at the GSSI,
and she/he will also collaborate with the project partners at IMT Lucca
(Mirco Tribastone, coordinator of the project), University of Trieste
(Luca Bortolussi and Stefano Seriani), and University of Camerino
(Francesco Tiezzi).
Postdoctoral position within the project "IT MATTERS: Methods and Tools
for Trustworthy Smart Systems" supervised by Luca Aceto:
http://www.gssi.it/people/professors/lectures-computer-science/item/225-aceto-luca.
Brief description of the project: The goal of the project is the
development and the application of a novel methodology for the
specification, implementation and validation of trustworthy smart
systems based on formal methods. We envisage system development in three
steps by first providing and analysing system models to find design
errors, then moving from models to executable code by translation into
domain-specific programming languages and, finally, monitoring runtime
execution to detect anomalous behaviours and to support systems in
taking context-dependent decisions autonomously. Scientifically, the
research will yield new, fundamental insights on the general properties
of large scale, physically located, smart systems, leading to an
end-to-end, principled approach to their design, implementation and
deployment. The developed software tools and the work on the case
studies will show the effectiveness of our proposed approach in three
practical scenarios at different application scales.
Main activities: The successful candidate will develop
runtime-monitoring and software-model-checking techniques for "smart
systems", that is, systems that take context-dependent decisions
autonomously. The research activities will involve developing frameworks
that can deal with the distributed nature of smart systems and will
build on existing work on specification-based monitoring and software
model checking of cyber-physical systems. The postdoctoral researcher
will also devise techniques to use information derived from the runtime
analysis to guide the software-model-checking effort and to refine the
models of the runtime environment used in model checking.
The postdoctoral researcher will work with Luca Aceto, Omar Inverso,
Ludovico Iovino and Emilio Tuosto at the GSSI. He/she will also
collaborate with the project partners at IMT Lucca, CNR Pisa, University
of Camerino, University of Pisa and University of Udine. Moreover,
he/she will also interact with the concurrency group at ICE-TCS
(http://icetcs.ru.is/), Reykjavik University, led by Luca Aceto and Anna
Ingólfsdóttir.
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