PHD TRAINING

ACROSS SPECIFIC ACTIVITIES

We’ve fostered the building of a dynamic and supportive community for our PhD students. Throughout the years, we organized a range of activities, including research retreats and social gatherings, designed to foster collaboration, enhance interdisciplinary exchange, and strengthen bonds among peers and institutions. These events provided an opportunity to share research progress, gain valuable feedback, and recharge in an inspiring environment. 

RESEARCH RETREAT

Mercure Hotel Canach

January 2025
Program:

Presentations by Cohort 2 (45 min each)

Presentations by Cohort 3 (30 min each)

Social activities

Cohort 1 celebration

GET TOGETHER

Maison du savoir

Belval, December 2023
Program:

Presentations by Cohort 2 students (35 minutes each) followed by Q&A sessions (10 minutes each)

Poster session featuring Cohort 3 students (prepare a 2-minute teaser and a poster in A2 format)

Job market strategy by Cohort 1 students (15 minutes each)

WINTER SCHOOL

Canazei

January 2023

Topic: Taxation, migration, well-being and policies (ACROSS 1st cohort)

Presentation by ACROSS cohort 1 students
Full program

RESEARCH RETREAT

Remich

November 2022

Program:

Presentations by cohort 1 students

Poster session with cohort 2 students

Presentation by Dr. Cevat Aksoy on “Research and Policy Making at the IFIs

Presentation by Dr. Martin Fernandez Sanchez on ”(Almost) Everything you need to know about the academic job market”

GET TOGETHER

University of Luxembourg

Kirchberg, December 2021
Program:

Presentation by cohort 1 students

Presentation by cohort 2 students

General discussion and drink

GET TOGETHER

Maison des Sciences Humaines

Belval, May 2021
Program:

Presentation by cohort 1 students

Presentation by Dr. Martin Fernandez Sanchez on "Understanding the academic job market in Economics"

DOCTORAL TRAINING AT THE
UNIVERSITY OF LUXEMBOURG

Throughout the ACROSS project, we have been committed to providing a high-quality doctoral program for our students. Below is the list of courses offered by the Doctoral School of Economics, Finance, and Management (DSEFM) of the University of Luxembourg. To further enrich their academic journey, ACROSS students were also encouraged to attend courses at other Doctoral Schools or Universities when relevant to their research (see the research visits done by our students).

Each year, we’ve also organized a “Doctoral Lecture Series on Cross-Border Labor Mobility” where leading experts from around the world present their latest research on cross-border labor mobility. More information.

  • Doctoral Poster Session (Soft Skills)
  • Doctoral Jamboree (Soft Skills)
  • Course “Advanced Econometrics“, Prof. Gautham Tripathi
  • Course “Asset Pricing“, Prof. Julien Penasse
  •  Course “International Public Economics and Migration“, Prof. Skerdi Zanaj
  • Course “Matching Methods“, Prof. Arnaud Dupuy
  • Course “Dynamic Corporate Finance“, Prof. Thomas Geelen (Pennsylvania State University)
  • Course “Financial Intermediation“, Prof. Sergio Vincente
  • Course “Topics in Applied Time-Series Analysis: Models seasonal adjustments and imputation“, Prof. Andreï Kostyrka
  • Course “Convex Optimisation“, Prof. Cagil Kocyigit
  • Course “Inequality and Risk Management“, Prof. Eugenio Peluso (LISER)
  • Course “Casual inference I and II“, Prof. Konstantinos Tatsiramos and Prof. Andrea Albanese (LISER)
  • Course “Job Market“, Prof. Andreas Irmen, Prof. Julien Penasse
  • Course “Transporation Pricing“, Prof. Benny Mantin
  • Course “Markov Decision Process“, Prof. Joachim Arts
  • Course “Political Economy“, Prof. Vincent Anesi
  • Course “Discrete Choice Model“, Prof. Michel Bierlaire (EPFL Lausanne)
  • Course “Real Analysis for Economics and Finance”, Prof. Martina Fraschini
  • Course “Topics in Inequality“, Conchita D’Ambrosio
  • Course “Labor Economics“, Prof. Christina Gathmann (LISER)
  • Course “Machine Learning for Econometrics“, Prof. Christophe Gaillac (University of Geneva)
  • Doctoral Poster Session (Soft Skills)
  • Doctoral Jamboree (Soft Skills)
  • Course “Advanced Econometrics“, Prof. Gautham Tripathi
  • Course “Asset Pricing“, Prof. Julien Penasse
  • Course “Job Market“, Prof. Andreas Irmen, Prof. Julien Penasse
  • Course “Dynamic Games Course“, Prof. Benteng Zou
  • Course “Real Analysis for Economics and Finance”, Prof. Martina Fraschini
  • Course “Choice Models with Stata“, Prof. Chiara Morlotti (University of Bergamo)
  • Course “International Public Economics and Migration“, Prof. Skerdi Zanaj
  • Course “Selected Application of Web-scrapping and Text-mining with Python“, Prof. Nikos Askitas (IZA – Institute of Labor Economics)
  • Course “Matlab for Financial Modeling“, Dr. Xisong Jin (Central Bank, Luxembourg)
  • Course “Sustainable Finance“, Prof. François Koulisher and Prof. Michaël Halling
  • Course “Political Economy“, Prof. Vincent Anesi
  • Course “Empirical Research in Economics, Finance and Management using R“, Dr. Andreï Kostyrka
  • Course “Optimising PHD Workflow: preparing a polished thesis in LaTex, R and open-source software in less time“, Dr. Andreï Kostyrka
  • Doctoral Poster Session (Soft Skills)
  • Doctoral Jamboree (Soft Skills)
  • Course “Topics in Inequality“, Conchita D’Ambrosio
  • Course “Advanced Econometrics“, Prof. Gautham Tripathi
  • Course “Matching Methods“, Prof. Arnaud Dupuy
  • Course “Job Market“, Prof. Arnaud Dupuy, Prof. Pierre Picard
  • Doctoral Seminar “Experimental Methods in Economics and Finance“, Prof. Tibor Neugebauer
  • Doctoral Seminar “Machine Learning in Economics, Management and Finance“, Dr. Rutger Poldermans
  • Course “Decision Making Under Uncertainty: Markov Decision Process“, Prof. Joachim Arts
  • Course “Decision Making Under Uncertainty: Dynamic Programming”, Prof. Nils Löhndorf
  • Course 3E DTU “Experimental Workshop“, Prof. Tibor Neugebauer
  • Course 3E DTU “Experimental Design“, Prof. Marc Suhrcke
  • Course “Reduced form Credit Risk Pricing and Topics in Sovereign Credit Risk“, Prof. Patrick Augustin (McGill University)
  • Course “Dynamic Game“, Prof. Benteng Zou
  • Course “Modeling International Migration“, Prof. Michel Beine
  • Course “Dynamic Corporate Finance“, Prof. Thomas Geelen (Pennsylvania State University)
  • Course “Selected Application of Web-scrapping and Text-mining with Python“, Prof. Nikos Askitas (IZA – Institute of Labor Economics)
  • Course “The Macroeconomics of Automation“, Prof. Andreas Irmen and Christos Koulovatianos
  • Course “Advanced Network Analysis“, Prof. Vincent Anesi
  • Course “Stochastics Models of Supply Chain and Operations“, Prof. Joachim Arts
  • Course “Sustainable Finance“, Prof. Michael Halling & François Koulischer
  • Course “Matlab for Financial Modeling“, Dr. Xisong Jin (Central Bank, Luxembourg)
  • Course “Game Theory“, Prof. Benny Mantin
  • Doctoral Poster Session (Soft Skills)
  • Doctoral Jamboree (Soft Skills)
  • Course “Topics in Inequality“, Conchita D’Ambrosio
  • Course “Game Theory“, Prof. Benny Mantin
  • Course “Stochastics Models of Supply Chain and Operations“, Prof. Joachim Arts
  • Course “Advanced Empirical Analysis“, Prof. Benjamin Holcblat
  • Course “Job Market“, Prof. Arnaud Dupuy, Prof. Pierre Picard
  • Course “Advanced Econometrics“, Prof. Gautham Tripathi
  • Course “Matching Methods“, Prof. Arnaud Dupuy
  • Doctoral Seminar “Empirical Research in Finance“, Prof. Van Bommel
  • Doctoral Seminar “Machine Learning in Economics, Management and Finance“, Dr. Rutger Poldermans
  • Doctoral Seminar “Experimental Methods in Economics and Finance“, Prof. Tibor Neugebauer
  • Course “International Migration“, Prof. Michel Bierlaire (EPFL Lausanne)
  • Course “International Public Economics and Migration“, Prof. Skerdi Zanaj
  • Course “The Macroeconomics of Automation“, Prof. Andreas Irmen and
  • Christos Koulovatianos
  • Course “Matlab for Financial Modeling“, Dr. Xisong Jin (Central Bank, Luxembourg)
  • Course “Transportation Network Analysis“, Prof. Anne Lange
  • Course “Advanced Network Analysis“, Prof. Vincent Anesi
  • Course “Introduction to Natural Language Processing“, Dr. Edward Kwartler (Harvard University)