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Trainings

Our Digital Finance Doctoral Training Programme positions itself at the frontier of academic and industrial innovation in digital finance, blending rigorous foundational courses with specialized digital finance modules, comprehensive soft skills development, and strategic secondment opportunities at leading financial institutes across Europe. Designed to equip future leaders with both theoretical knowledge and practical expertise, our programme offers doctoral candidates across Europe a holistic approach to understanding and shaping the evolving landscape of digital finance. Join us to gain the skills, insights, and real-world experience needed to excel in academia, industry, and beyond.
 

The DIGITAL program offers comprehensive doctoral training in four key areas

  • Towards a European Financial Data Space (WP1)
    IRP6 - Collaborative learning across data silos IRP8 - Detecting anomalies and dependence structures in high dimensional, high frequency financial data IRP13 - Predicting financial trends using text mining and NLP IRP15 - Deep Generation of Financial Time Series Work Package 1 Page
  • Artificial Intelligence for Financial Markets (WP2)
    IRP12 - Developing industry-ready automated trading systems to conduct EcoFin analysis using deep learning algorithms IRP14 - Challenges and opportunities for the uptaking of technological development by industry Work Package 2 Page
  • Towards explainable and fair AI-generated decisions (WP3)
    IRP1 - Strengthening European financial service providers through applicable reinforcement learning IRP9 - Audience-dependent explanations IRP16 - Investigating the utility of classical XAI methods in financial time series IRP17 - Fair Algorithmic Design and Portfolio Optimization under Sustainability Concerns Work Package 3 Page
  • Driving digital innovations with Blockchain applications (WP4)
    IRP3 - Machine learning for digital finance IRP5 - Fraud detection in financial networks IRP7 - Risk index for cryptos Work Package 4 Page
  • Sustainability of Digital Finance (WP5)
    IRP2 - Modelling green credit scores for a network of retail and business clients IRP4 - A recommender system to re-orient investments towards more sustainable technologies and businesses IRP10 - Experimenting with Green AI to reduce processing time and contributes to creating a low-carbon economy IRP11 - Applications of Agent-based Models (ABM) to analyse finance growth in a sustainable manner over a long-term period Work Package 5 Page

Furthermore, the training of doctoral candidates will consist of attending international conferences and other training programs, lab training, and lectures from external scientific lecturers.

To get an overview of the full course booklet, click here.

Course materials

Course materials for our Digital Finance Doctoral Network will be made available through the links below. These resources include essential readings, lecture slides and -recordings, codebases, quizzes and supplementary materials to support students in Digital Finance.

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