Università degli Studi di Urbino Carlo Bo / Portale Web di Ateneo


A.Y. Cycle Location
2019/2020 XXXV Urbino
positions with scholarship without scholarship Coordinator Email
10 8 2 Prof. Alessandro Bogliolo alessandro.bogliolo@uniurb.it

Themes

The program meets the requirements of innovative PhD programs for its international and interdisciplinary dimensions, covering three research areas, in which students will have the opportunity to take part in national and international research projects:

  • CHEMISTRY (area of Chemical Sciences, ERC sectors PE4, PE5, and LS7),
  • EARTH SCIENCES (area of Earth Sciences, ERC sectors PE10),
  • FORMAL MODELS, DATA ANALYSIS AND SCIENTIFIC COMPUTING (areas of Mathematical and computer sciences, Industrial and information engineering, Physical sciences, Biological sciences, and Historical, philosophical and pedagogical sciences, ERC sectors PE1, PE2, PE6, PE9, LS8, SH4), this latter also covering big data management.

The PhD program is designed to provide students with knowledge, competences, and skills needed to undertake research in science and technology with awareness, responsibility and method. To this purpose, the degree program provides the opportunity to: deepen ethical and methodological issues, develop critical sense, apply both qualitative and quantitative research methodologies, experience the development, characterization, validation and usage of formal and computational models, improve scientific and technical writing skills, and confront the international scientific community.

The first year will be dedicated to courses, exams and other teaching and research activities in Urbino, in the context of the Renaissance city, included in the UNESCO World Heritage.

Courses with exams will be taught in English, and will be structured into teaching modules of 4 ECTS each, corresponding to 8 hour of lectures + project work and study. Exams (written tests and/or papers and/or oral examinations) will be taken right after each course. An additional session of exams will be offered in September. Admission to the second year will depend on students’ achievement of a satisfactory score at final exams in each teaching module.

Seminars (with no exams) will address specific topics to provide additional opportunities of either deepening their main fields of interest or widening their research horizons.

Research projects are assigned at the beginning of the second year, which is mainly devoted to research.

PhD thesis will be completed during the third year, submitted and defended at the end of the last Academic Year.

Candidates are expected to spend a semester abroad.

First year

In the first year students are expected to take 15 short courses of 4 ECTS (8 hours), with final evaluation.  

  • 8 mandatory courses on methodological aspects, ethics, technical writing, and transversal skills
  • 5 area-specific courses
  • 2 elective interdisciplinary course chosen either among those offered in different areas of the same program, or among those offered by other PhD programs of the University of Urbino

Second year

Mainly devoted to research

  • Definition of the Research Project Proposal 
  • Supervised research activity
  • Participation to selected Doctoral courses, Seminars or Summer Schools
  • Possible research experience abroad 

Students are expected to present the results of their work at International workshops and conferences and to submit papers for publication in international journals. 

Third year

Mainly devoted to thesis preparation and publications

  • Thesis development and completion
  • Participation to selected Doctoral courses and Seminars
  • Possible research experience abroad 

Students are expected to present the results of their work at International workshops and conferences and to submit papers for publication in international journals.

COMMON MANDATORY COURSES 

  • Ecological Models (Antonella Penna) LS8
    Introduction to the ecological functioning of ecosystems through the basic models and functions of population growth (exponential and logistic models), inter-specific relationships (competition, predation, foraging)  within community,  community structure and dynamic.
  • Statistics in Experimental Research (Filippo Martelli) PE1
    The course addresses the basic aspects of the statistical treatment of experimental data, from the correct analysis of the errors associated to each measurement, to the tests used for the determination of the statistical significance of an experimental result.
  • Data Analysis (Andrea Viceré, Matteo Montani) PE9
    Introduction to the use of Python in the exploratory analysis and display of data, with specific application to time-series analysis and multi-dimensional data. 
  • Algorithmic Thinking and Computational Complexity (Alessandro Bogliolo, Valerio Freschi) PE6
    The aim of the course is to provide the methodological instruments required to understand, and possibly develop, efficient algorithmic solutions to real-world computational problems
  • Optimization Methods (Raffaella Servadei, Giovanni Molica Bisci) PE1
    The course aims to introduce classical optimization techniques, with particular attention to the applications.
  • Critical Thinking (Gino Tarozzi, Pierluigi Graziani) SH4
    Fallacies, cognitive biases, slow and fast thinking, natural deduction, formal semantics.
  • Scientific Method: Foundations and Problems (Vincenzo Fano) SH4
    Induction, Bayesianism, eliminativism, hypothetical-deductive method, bootstrapping.
  • Scientific Communication Strategies (Pierangela Palma)
    Effective ways to communicate scientific information and disseminate scientific results

CHEMISTRY

  • Metal-based systems: principles and applications (Luca Giorgi, Vieri Fusi, Mauro Formica) PE5
    The course aims to describe the metal-based systems ranging from metal-receptors to supramolecular adducts, focusing on the key role played by the metal ion. The main methodologies for their study in solution and in the solid state will be illustrated. Biological and environmental application will be discussed.
  • Molecular Structure Determination (Simone Lucarini) PE5
    The course provides a practice-oriented and systematic introduction to molecular structure determination by the most significant spectroscopic methods.
  • Introduction to Green and Sustainable Chemistry (Giovanni Piersanti) PE5
    The course aims to introduce the principles of Green Chemistry and Green Engineering to provide the tools necessary to evaluate, sustainable, different synthetic procedures and best available technologies.
  • Nanomedicine (Helder A. Santos, Luca Casettari, Roberto Molinaro) LS7
    The course aims to introduce the materials and the technologies applied to develop nanomedicine formulations, highlighting the methodologies to characterize them from both a physicochemical and biological standpoint, the approaches to overcome biological barriers and understanding their clinical applications.
  • Sampling techniques for the analysis of organic molecules (Giorgio Famiglini) PE4
    The course aims to present the main sampling, purification and pre-concentration techniques of organic analytes in various matrices before instrumental analysis. 

EARTH SCIENCES

  • Earth's Climate system (Simone Galeotti) PE10
    This short course provides an overview of the interconnectedness of Earth's climate system components. Internal and external forcing factors that influence Earth’s climate will be discussed in the light of past climate change episodes over different time scales in the geological record, and future scenarios.
  • Geology and research methods in geothermal energy: from electricity production to borehole heat exchangers (Alberto Renzulli) PE10
    The short course will provide an introduction on the geodynamic and geological constraints concerning the various possibilities to yield geothermal energy, then an overview of the research methods for this kind of renewable. It is going to deal with some examples of geological areas throughout the world currently exploited for both medium-high enthalpy geothermal energy and simple plants based on ground coupled heat pumps.
  • Time series analysis of geological data (Luca Lanci) PE10
    The course is focused on time series analysis of geological data and proxy for paleo-climatic data. Parametric and non-parametric spectral methods will be introduced to recognise trends, periodic forcing and background noise. The approach of the course is practical and will make use of the R data analysis software.
  • Analytical methods for rock-forming minerals (Michele Mattioli) PE10
    This course will give an introduction to the main mineralogical and petrographic methods (e.g., optical microscopy, SEM-EDS, diffraction methods, XRF, EPMA, ICP-MS, FTIR, AFM, Raman, TEM) which can be used in the characterization of Earth and material sciences, with particular focus on the advanced material technology.
  • Geological data acquisition methods (Marco Menichetti) PE10
    This course will explore the advanced digital methods technologies (photogrammetric, TLS, Lidar etc) and tools of geoscience used in field an lab data acquisition. A combination of lectures and real examples of data collection and processing will be used to construct 3D models as a valuable research and education tool in all geosciences disciplines.

FORMAL MODELS, DATA ANALYSIS AND SCIENTIFIC COMPUTING

  • Introduction to quantum computing (Andrea Viceré, Catia Grimani) PE2
    Principles and perspectives of quantum computing: an overview of basic concepts and possible applications, with an introduction to quantum physics.
  • General relativity and gravitational waves: theory and experiment (Gianpietro Cagnoli, Gianluca Maria Guidi, Francesco Piergiovanni) PE9
    The course will give an introduction to General Relativity and astrophysical phenomena connected to the theory. It will then focus on gravitational waves detection by means of interferometric experiments.
  • Partial differential equations: from modelling to theory (Giovanni Molica Bisci, Raffaella Servadei) PE1
    The main purpose of this course is to focus on the interplay between theory and modelling in problems arising in the applied sciences.
  • Foundations of physics (Fred Muller, Gino Tarozzi, Vincenzo Fano) SH4
    Entanglement, realty of space-time, cosmological principle and statistical representation.
  • Theory of Computation (Cuno Lorenz Klopfenstein, Valerio Freschi) PE6
    The course introduces the theory of computability starting from models and formalisms like Turing machine and recursive functions and presents the foundation of complexity theory.
Lecturer Institution Url
Ezio Bartocci Vienna University of Technology -
Marco Bernardo Università di Urbino
Alessandro Bogliolo Università di Urbino
Gianpietro Cagnoli Université Claude Bernard Lyon -
Achille Cappiello Università di Urbino
Luca Casettari Università di Urbino
Vincenzo Fano Università di Urbino
Gianfranco Favi Università di Urbino
Vieri Fusi Università di Urbino
Simone Galeotti Università di Urbino
Enrique García-España University of Valencia (Spain) -
Luca Giorgi Università di Urbino
Luca Lanci Università di Urbino
Emanuele Lattanzi Università di Urbino
Simone Lucarini Università di Urbino
Filippo Martelli Università di Urbino
Michele Mattioli Università di Urbino
Marco Menichetti Università di Urbino
Diego Morata Universidad de Chile -
Fred Muller Erasmus University Rotterdam -
Janusz Pawliszyn University of Waterloo, ON, Canada -
Antonella Penna Università di Urbino
Giovanni Piersanti Università di Urbino
Alberto Renzulli Università di Urbino
Stefano Santini Università di Urbino
Hélder A. Santos University of Helsinki -
Raffaella Servadei Università di Urbino
Appy Sluijs Utrecht University -
Gino Tarozzi Università di Urbino
Mario Tramontana Università di Urbino
Andrea Viceré Università di Urbino

The natural occupational outcome of the program is R&D in academic institutions, research centers, public administrations and companies. The level of expertise, awareness, maturity and experience acquired during the program allows PhDs to undertake careers entailing coordination and decision making skills and responsibility.

Registration for Research Methods in Science and Technology

Admission
Course with limited number of positions
Number of positions
10 available (8 with scholarship, 2 without scholarship)
Admission deadline
Applications due by 27/08/2019
Official documents
Consult the modalities of the selection procedures, the criteria used for the evaluation of titles and for the interview

Official Documentation
Useful information

Admission request to be presented annualy according to the call published at xxxx

Admission is based on:

  1. Evaluation of qualifications, CV, documentation and, possibly, recommendation letters and publications presented according to the terms of the call
  2. Oral examination taken in Urbino or, upon motivated request submitted together with the adminission request, by teleconference
On-line procedure
On-line application

Useful documents and materials

Official documents for selection procedure view

Information on teaching and research activities

Organizzazione

The board of lecturers is coordinated by Prof. Alessandro Bogliolo

Contacts
Alessandro Bogliolo
 +39 0722 304410   alessandro.bogliolo@uniurb.it

Administrative contacts

Secretary’s Office
Ufficio Dottorati - Post laurea - Esami di Stato
Via Veterani, 36 - Urbino
Office hours
Monday - Friday from 9.30 am to 13pm
Contacts
 Tel. +39 0722 304631 / +39 0722 304634 / +39 0722 304635 / +39 0722 304636 / +39 0722 304632   dottorato@uniurb.it

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