The Computer Science group at the Gran Sasso Science Institute (GSSI, http://cs.gssi.it) --- an international PhD school and centre for advanced studies located in L’Aquila, Italy --- has one available postdoctoral position in the context of the PRIN projects “ALGADIMAR: Algorithms, Games, and Digital Markets” (Gianlorenzo D’Angelo, PI at GSSI), funded by the Italian Ministry for University and Research.
The position is briefly described below. It is for two years and the salary is 36,000€ per year before taxes. The position is 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 Gianlorenzo D’Angelo.
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 theme of the project.
Postdoctoral position within the project “ALGADIMAR: Algorithms, Games, and Digital Markets”, supervised by Gianlorenzo D’Angelo.
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.
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