Training Activities for PhD Fellows

The IIE-PhD offers a wide range of training activities organised on three levels as detailed below. 
 
  1. Scientific Skills Training (at least 96-hours training in 3 years required)
  2. Transferable Skills Training (at least 68-hours training in 3 years required)
  3. Applied Training – Combining Scientific and Transferable Skills (at least 36-hours training in 3 years required)
 
PhD fellows are encouraged to attend all activities relevant to their projects. In particular they are requested to attend no less than 200-hours training in three years (120-hours for PhD fellows enrolled prior than the XXIX cycle). Fellows should keep record of the courses they have attended in the training data sheet, which should be handed in to the IIE-PhD administration office at the end of the three years. 
 
The scientific and applied training activities are managed by the IIE-PhD Doctoral Board and are normally advertised in the IIE calendar and via email. The Transferable Skills Training is instead provided by the University Research Office Centre, which advertises the events via the following link (when possible adverts will also be insert in the IIE calendar).

1) Scientific Skills Training: requested at least 96-hours training in 3 years

Three types of scientific skills training activities are offered: 
a) Four Intensive 3-day technical courses (compulsory)
b) Master level courses (optional)
c) Seminars (optional)
 
PhD fellows are requested to participate in all four intensive 3-day technical courses and should plan which master course(s) and/or seminars they would like to attend with the proviso that at least 96-hours scientific training must be attended in three years.

Four Intensive 3-day technical courses

Each Module lasts three days and is organised in six sessions of three hours each, i.e. they provide 18-hours training each. The sessions are normally organised as demonstration-sessions, computer-sessions, lab-sessions or team-work-sessions.
 
Each module has a multidisciplinary layout that covers topics of interest for electric, mechanical, information technology, management and electronic engineering. Also, it is taught by academics with backgrounds in either of these disciplines. The objective is to offer a broad spectrum of topics taught from different perspectives, which should widen the scientific background and promote the so called “lateral thinking”.
Normally PhD fellows should attend Module 1 and 3 during year 1 and Module 2 and 4 during year 2 of their PhD.
 
Module Program
MODULE 1
Numerical methods for engineering research
 

Wednesday 8 March – Friday 10 March 2017

Sala Riunioni grande DPIA sez. Ingegneria Elettrica, Gestionale e Meccanica

 
Coordinators Prof. Franco Blanchini / Prof. Pierpaolo Palestri
 
The objective of this module is to illustrate typical numerical techniques for the solution of a wide range of problems in the fields of electrical, electronic, informatics management and mechanical disciplines.

Demonstration Sessions 

S1) Wednesday 8 March  9:00 – 10:30   11:00 – 12:30
Numerical methods: a critical overview – Prof. F. Blanchini (University of Udine)

S2a) Wednesday 8 March  13:30 – 15:00
Atomistic models and applications to engineering – Prof. F. Driussi (University of Udine)

S2b) Wednesday 8 March  15:30 – 17:00
Generation of pseudo-random numbers – Prof. R. Rinaldo (University of Udine)

S3) Thursday 9 March  9:00 – 10:30   11:00 – 12:30
International Expert Lecture
Numerical methods for the control of continuous casting and rolling process – Ing. L. Busolini, Ing. A. Polo (Danieli DARC)

S4) Thursday 9 March  13:30 – 15:00   15:30 – 17:00
The Monte Carlo method – Prof. P. Palestri (University of Udine)

S5) Friday 10 March  9:00 – 10:30   11:00 – 12:30 
International Expert Lecture
An overview of systems biology: a quantitative approach – Dr. G. Giordano (University of Lund, Sweden)

S6) Friday 10 March 13:30 – 15:00 15:30 – 17:00
Simulation of manufacturing processes – Prof. M. Sortino (University of Udine)

MODULE 2
Numerical strategies for engineering research
 

Wednesday 8 March – Friday 10 March 2017

Sala Riunioni piccola DPIA sez. Ingegneria Elettrica, Gestionale e Meccanica

 
Coordinators Prof. Daniele Casagrande / Prof. Mirko Loghi
 
The objective of this module is to illustrate common software packages for the simulation of physical systems and the solution of engineering problems in the fields of electrical, electronic, informatics management and mechanical disciplines.
 

Computer Sessions

S1) Wednesday 8 March 9:00 – 10:30   11:00 – 12:30
Statistical software: Python for statistical analysis of experimental data – Prof. L. Di Gaspero (University of Udine)

S2) Wednesday 8 March 13:30 – 15:00   15:30 – 17:00
Data and Information Fusion – Prof. L. Snidaro (University of Udine)

S3) Thursday 9 March  9:00 – 10:30   11:00 – 12:30
International Expert Lecture
1) Modelling large scale systems for distributed estimation and fault diagnosis
2) The Algebraic Formulation: a discrete approach to modelling distributed parameter systems – Prof. R. Ferrari (Delft University of Technology, the Netherlands)

S4) Thursday 9 March  13:30 – 15:00   15:30 – 17:00
Computers: network security – Prof. P. L. Montessoro (University of Udine)

S5) Friday 10 March  9:00 – 10:30   11:00 – 12:30 
Image/Video acquisition and processing – Prof. C. Micheloni (University of Udine)

S6) Friday 10 March  13:30 – 15:00   15:30 – 17:00
Industrial Expert Lecture
Model based design for embedded control applications – Ing. G. Pin (Electrolux, Italy)
CAE strategies for electrical applicances development – Ing. P. Cescot (Electrolux, Italy)

MODULE 3
Laboratories for engineering research
 

Monday 13 March – Wednesday 15 March 2017

Sala Riunioni grande DPIA sez. Ingegneria Elettrica, Gestionale e Meccanica

 
Coordinators Prof. Luca Selmi / Prof. Marco Sortino
 
The objective of this module is to offer technical background and practical sessions for the implementation of typical experimental work in the fields of electrical, electronic, informatics management and mechanical disciplines.
 

Laboratory Sessions

 
S1) Monday 13 March  9:00 – 10:30   11:00 – 12:30
Characterization of dielectric material properties – Prof. S.Boscolo  (University of Udine)
S2a) Monday 13 March  13:30 – 15:00
Electronic equipment for laboratory measurements in power electronics – Prof. S. Saggini (University of Udine)

S2b) Monday 13 March  15:30 – 17:00
Advanced control of IPM motors – Prof. R. Petrella  (University of Udine)

S3) Tuesday 14 March  9:00 – 10:30   11:00 – 12:30
International Expert Lecture
Overview of nanoscale characterization techniques – Dr. Eng. A. Chabli (CEA-LETI, Grenoble, France)

S4) Tuesday 14 March  13:30 – 15:00   15:30 – 17:00
Industrial Expert Lecture
Measurement techniques for mechatronic systems – Prof. A. Gasparetto, Ing. M. Venturini (IRS)

S5) Wednesday 15 March  9:00 – 10:30   11:00 – 12:30
Measure your health: electric measurements and sensors exploring the new frontiers of biomedical instrumentation – Prof. A. Affanni  (University of Udine)

S6) Wednesday 15 March  13:30 – 15:00   15:30 – 17:00
Experimental identification of dynamic systems and manufacturing processes – Prof. G. Totis (University of Udine)

MODULE 4
Management engineering: theories and case  studies 
 

Monday 13 March – Wednesday 15 March 2017

Sala Riunioni piccola DPIA sez. Ingegneria Elettrica, Gestionale e Meccanica

 
Coordinators Proff. Marco Sartor / Prof. Stefano Filippi
 
The objective of this module is to offer case study sessions on the planning, organisation and management of small to large private industrial and information-technology enterprises. 
 

Theory and Practice 

S1) Monday 13 March  9:00 – 10:30   11:00 – 12:30
Industrial Expert Lecture
Process mapping – Ing. F. Olivo (Vistra S.r.l., Italy)

S2) Monday 13 March  13:30 – 15:00   15:30 – 17:00
International Expert Lecture
Emerging theories in operations management– Prof. D. Schniederjans (University of Rhode Island, USA)

S3) Tuesday 14 March  9:00 – 10:30   11:00 – 12:30
Spin-off: a live case study – Ing. R. Lombardo (Innov@ctors, Italy)

S4) Tuesday 14 March  13:30 – 15:00   15:30 – 17:00
Value engineering – Prof. P. Romano (University of Udine)

S5) Wednesday 15 March  9:00 – 10:30   11:00 – 12:30
Statistics applied to management sutdies – Prof. C. Di Mauro (University of Catania)

S6) Wednesday 15 March  13:30 – 15:00   15:30 – 17:00
Business planning – Prof. G. Nassimbeni (University of Udine)

Master level courses

PhD fellows can also attend one or more courses chosen from those offered by the Master-level degrees in Mechanical Engineering, Electronical Engineering, Management Engineering, Physics and Computer Science or from equivalent courses part of Master-level degrees at the associated Universities of INP-Grenoble and INSA-Rennes. Alternatively or in addition, PhD fellows may attend specialised courses organised by “inter ateneo” schools, by the International Centre for Mechanical Sciences (CISM), by the EURODOTS network and in special circumstances by other Institutions after authorization by the Tutor or the Doctoral Board. In particular the IIE Doctoral Board offer the following EURODOTS module in Udine: "Nano-scale MOS transistors: Semi-classical modeling and applications".
 

Seminars

Finally PhD fellows could also attend the short seminars offered by the Dipartimento di Ingegneria Elettrica Gestionale e Meccanica and by other Departments of the University of Udine and by the associated universities of INP-Grenoble and INSA-Rennes, which are normally offered via videoconference.
 

2) Transferable Skills Training: at least 68-hours training in 3 years required

 
PhD fellows are also requested to attend the “transferable skills training” activities offered by the the Research Services Area (ARIC) to all PhD fellows of the Università degli Studi di Udine. The transferable skills training aims at developing the Fellow’s “soft skills”. It includes courses on project planning and management, grant writing, academic writing, IPR management, entrepreneurship, spin-off creation, innovation management, networking, ethics etc. Each PhD fellow should chose the modules that would better enhance his/her own expertise in the management of human, technical, and financial resources, in the exploitation of computing networks, software and information-technologies and the setting up and management of experimental facilities and laboratories or spin off companies. The duration of each module will vary according to the taught syllabus. Fellows are expected to accumulate at least 68-hours of transferable skills training in 3 years.
 
The transferable skills training courses offered by the University Research Office Centre have been organised in the following four areas:
 
1)General background on Doctorates and scientific research
2)Language competences
3)Information-Technologies competences
4)Planning and management of scientific research
5)Communication skills
6)Job opportunities and entrepreneurship
 
A detailed list of the modules activated each year, with dates and places, can be found at the following linkAlso more information about the modules and the yearly planning can be obtained from the Research Services Area (ARIC) dottorato.rice@uniud.it
 

3) Applied Training – Combining Scientific and Transferable Skills: at least 36-hours training in 3 years required

 
Each year the IIE PhD fellows are requested to attend the “PhD conference” and the “PhD ExpO”, which assign 12-hour training each year. This involves the preparation of a technical presentation, which is then delivered to the other fellows and to the Doctoral Board during the PhD conference. Also it involves the preparation of a stand with a poster presentation and a multimedia presentation or practical demonstrator, which are presented to delegates from local industries and companies. 
 
Besides the purpose of dissemination, these two events are offered as an applied training opportunity where the scientific and transferable skills developed by the fellows are combined together and put in practice. Fellows will be assisted by their tutors during the preparation of the two events. Moreover they will receive feedbacks on their presentations from their colleagues and members of the Doctoral Board who will attend their PhD conference presentations or will visit their PhD ExpO stands.