Application Form:

VII EDITION - CALL FOR SELECTION OF N. 12 VERA INTERNSHIP GRANTS AT THE DEPARTMENT OF ECONOMICS - A.A 2021/2022
Deadline: 20/12/2021 at 12.00	

The undersigned (surname, name)		

 Fiscal code																	Student number							
Place of birth (City)		date																						

Residence address (City)		Postcode		

Street name		House number		

Phone		Mobile		e-mail		@stud.unive.it	

DECLARES
⁃	to have read and to accept all the rules of the call of selection issued by the Ca’ Foscari University - Department of Economics.
⁃	to be informed, according to the Italian Legislative Decree n. 196/2003 and GDPR 2016/679, that the above personal data will be processed  also with the support of information technology tools. 

REQUESTS
to be admitted to the selection procedure for the assignment of n. 12 VERA internship grants at the Department of Economics for the following internship projects. Please indicate in the table below three titles of internship project in order of preference (1, 2, 3) 

	COMPUTABLE GENERAL EQUILIBRIUM MODELS FOR THE CONSTRUCTION OF LONG-TERM MACROECONOMIC SCENARIOS	
	WOMEN’S LABOUR MARKET ADJUSTMENTS TO MATERNITY	
	ESG AND RISK PROFILES	
	ROBO-ADVISORY AND THE ROLE OF RISK PROFILING	
	RENEWABLE ENERGY AND AGRICULTURE	
	STUDY OF THE EFFECTS OF THE CORONA-VIRUS ON THE WORKING AND RETIREMENT CHOICES RELATED TO GENDER, MAKING USE OF OCCUPATIONAL CODING	
	FORECASTING TOURISM FLOWS	
	ENSEMBLES OF RANDOM REGRESSION TREES	
	ROBUST LOGISTIC REGRESSION FOR SMES DEFAULT PREDICTION	
	THE POND’S DILEMMA IN THE PRESENCE OF AFFIRMATIVE ACTION: THEORETICAL AND EXPERIMENTAL ANALYSIS	
	CULTURAL DYNAMICS AND ACCULTURATION IN STRATEGIC ENVIRONMENTS	
	STRUCTURE, EVOLUTION AND RESILIENCE OF INTERNATIONAL OPENING PROCESSES IN THE NORTH EAST ECONOMY	
	NATURAL RESOURCES, TERRITORIAL SUSTAINABILITY AND CIRCULAR ECONOMY	
	A REVIEW OF APPLICATIONS OF AGENT BASED MODELS IN [ENVIRONMENTAL] ECONOMICS	
	INFORMATION AND DISINFORMATION IN FINANCIAL MARKETS	
	FROM QUALITATIVE TO QUANTITATIVE ANALYSIS FOR CHART PATTERN RECOGNITION IN TECHNICAL ANALYSIS: AN ARTIFICIAL INTELLIGENCE BASED APPROACH	

For this purpose she/he DECLARES under her/his own responsibility 
to be regularly enrolled in the following Master's Degree Course 
…………………………………………………………………………………………………………………………………………..
.............................................................................................................................................................................................

Please indicate here below if you intend to graduate in March 2022:

………………………………………………………………………………………………………………………………………

In addition, he/she declares
to receive / to not receive other public/private grants or benefits for the 2021/2022 academic year  
The candidate shall indicate the grant/benefit received: 
…………………………………………………………………………………………………………………………………………..

Annex: 
- Curriculum vitae dated and signed
- Self certification of exams taken (marks and university credits – CFU, Crediti Formativi Universitari) and the weighted average exam marks
- Motivation letter (using the format attached to the call)
- The scanned copy of a valid ID document
- Other (specify): …………………………………………

Date  _____________________  Signature of the student _________________________________________