The admission procedures for XXXV cycle of the PhD program in Information Engineering are now open.

– Deadline for online applications:   July 25th, 2018, h 14:00 (Italian Time, GMT+2).
– The cycle will start on November 1, 2019.
Number of scholarship posts: 9
Number of non-scholarship posts: 3
Reserved scholarship posts: 5

Reserved positions:

Title: Artificial Intelligence and Machine Learning for autonomous agents that learn to plan and operate in unperdictable dynamic environments

Autonomous agents, such as robots, chat-bots, self-driving cars, soft-bots etc., need to plan their actions in order to achieve their goals. For this reason, they should know the environment in which they operate and the effects of their actions on the environment. These information are usually encoded in the so-called “planning domain”, which, need to be “programmed off line” when the agent is programmed. However, the environment is dynamic and can have unpredicted changes; therefore, the agent should be able to adapt to unexpected situations. Furthermore, the effect of actions could be vary complex and unknown since the beginning; the agents should be able to learn action effects while acting. The objective of the Ph.D is to develop the necessary theory and the algorithms that allow an agent to incrementally learn a discrete, compact, and semantically rich representation of the planning domain in an environment in which it is supposed to interact. This representation is formulated in a form of a discrete planning domain.



Title: New closed loop injection controller for die-casting machine

Idra is a leading society in the market of die casting machines with clients ranging from Tesla to FCA and Volkswagen. The incumbent will be hired (in “apprendistato”) by Idra at the beginning of the PhD studies and will perform research activity partly at the Department of Information Engineering of the University of Brescia and partly at the Idra location in Travagliato. The activity will be concerned with the definition, realization and simulation (via software and on test plants) of innovative algorithms for the control of the injection in die casting machines. Advanced data-driven learning methods for control will be used for the design. The incumbent is required to be available for short-term trips (Germany, United States, Mexico).

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Title: ICT platforms for Smart Cities

The Smart Cities concept, with particular attention to smart grids and smart living applications, is by definition a multidisciplinary research area, where innovation is created through cross-fertilization. In particular, the optimization in the use and production of energy in the de-carbonization era requires appropriate ICT platforms and infrastructures, in order to favor a wider and wider adoption of the Smart Cities paradigm for the management of urban assets. The objective of the Ph.D., after a preliminary overview of Smart Cities related technologies, is to analyze and evaluate the new challenges posed to the communication infrastructures, with particular attention to security aspects. Existing protocols and solutions will be analyzed and evaluated by means of purposely designed Key Performance Indicators. Flaws and inefficiencies of such solutions will be overcame by means of brand new proposals, which will be tested in real-world scenarios. The impact of protocols on field devices (e.g. in terms of power consumption, refresh rate and so on) will be considered as well.



Title: Information Engineering for Smart Cities


Title: Technologies of artificial intelligence for E-learning


Instructions on admission procedures are avilable at:
Link to the official Call for the competitive examination of the Research Doctorate Programme page