Doctoral Candidates | DIGITAL MSCA-DN

DC1: Strengthening European financial service providers through applicable reinforcement learning

WP3 • Host: 🇳🇱 UTW • PhD: UTW

M9–M45 • Deliverables: D2.1, D2.2

DC2: Modelling green credit scores for a network of retail and business clients

WP5 • Host: 🇳🇱 UTW • PhD: UTW

M9–M45 • Deliverables: D5.1, D5.2

DC3: Machine learning in digital finance

WP4 • Host: 🇳🇱 UTW • PhD: UTW

M9–M45 • Deliverables: D4.2, D4.3

DC4: A recommender system to re-orient investments towards more sustainable technologies and businesses

WP5 • Host: 🇳🇱 UTW • PhD: UTW

M9–M45 • Deliverables: D5.1

DC5: Fraud detection in financial networks

WP4 • Host: 🇦🇹 WWU • PhD: WWU

M9–M45 • Deliverables: D4.2, D4.3

DC6: Collaborative learning across data silos

WP1 • Host: 🇦🇹 WWU • PhD: WWU

M9–M45 • Deliverables: D1.1, D1.2, D1.3

DC7: Risk index for cryptos

WP4 • Host: 🇵🇱 POZ • PhD: POZ

M9–M45 • Deliverables: D4.1

DC8: Detecting anomalies and dependence structures in high dimensional, high frequency financial data

WP1 • Host: 🇷🇴 ASE • PhD: ASE

M9–M45 • Deliverables: D4.2

DC9: Audience-dependent explanations

WP3 • Host: 🇮🇹 UNA • PhD: UNA

M9–M45 • Deliverables: D3.1, D3.2

DC10: Experimenting with Green AI to reduce processing time and contributes to creating a low-carbon economy

WP5 • Host: 🇮🇹 UNA • PhD: UNA

M9–M45 • Deliverables: D5.2, D5.3

DC11: Applications of Agent-based Models (ABM) to analyse finance growth in a sustainable manner over a long-term period

WP5 • Host: 🇱🇹 KUT • PhD: KUT

M9–M45 • Deliverables: D5.3

DC12: Developing industry-ready automated trading systems to conduct EcoFin analysis using deep learning algorithms

WP2 • Host: 🇷🇴 ASE • PhD: ASE

M9–M45 • Deliverables: D2.3

DC13: Predicting financial trends using text mining and NLP

WP1 • Host: 🇷🇴 BBU • PhD: BBU

M9–M45 • Deliverables: D1.1, D1.2

DC14: Challenges and opportunities for the uptake of technological development by industry

WP2 • Host: 🇮🇹 CAR • PhD: UKL

M9–M45 • Deliverables: D2.3

DC15: Deep Generation of Financial Time Series

WP1 • Host: 🇮🇹 CAR • PhD: WWU

M9–M45 • Deliverables: D1.1, D1.3

DC16: Investigating the utility of classical XAI methods in financial time series

WP3 • Host: 🇨🇭 BFH • PhD: UTW

M9–M45 • Deliverables: D3.1, D3.2, D3.3

DC17: Fair Algorithmic Design and Portfolio Optimization under Sustainability Concerns