PhD Training School in Poznan

Topic of the program

This training school provides PhD students with advanced, hands-on training at the intersection of artificial intelligence, machine learning, and digital finance. A key component of the program is the integration of modern computational tools (using Python and R) with financial applications, where participants learn to build, test, and critically evaluate machine learning models for financial markets.

The course places a strong emphasis on practice, featuring real-world use cases, interactive coding sessions, and the step-by-step deconstruction and replication of seminal ML-in-finance research papers.

In addition to technical and algorithmic foundations, the program addresses the legal and commercial dimensions of technological innovation through a dedicated module on Intellectual Property Rights (IPR), software protection, and patenting in the FinTech sector.

Learning Outcomes

By the end of the program, participants will:

·       Develop and implement machine learning models and advanced algorithms to solve real-world financial problems using Python and R.

·       Critically deconstruct and replicate seminal empirical research by analyzing published machine learning studies and their associated codebases.

·       Process and analyze complex financial datasets, applying rigorous techniques for data handling, modeling, and evaluation.

·       Navigate the legal landscape of financial technologies, understanding Intellectual Property Rights (IPR), software protection, and patenting strategies in the FinTech sector.

·       Translate advanced data-driven insights into actionable strategies for financial decision-making and academic research.

Credit Outcomes

• Introduction to AI for Financial Applications (4EC)

• Intellectual Property Rights and Patenting (1EC)

Lecturers

Aleksandra Rutkowska, PhD — Poznań University of Economics and Business, Poland

Barbara Będowska-Sójka, PhD - Poznań University of Economics and Business, Poland

Rafał Sikorski, PhD, LLM – Adam Mickiewicz University

Agenda:

September 21, 2026: Foundations of Machine Learning and AI in Finance

September 22, 2026: Advanced Algorithms and Financial Time Series Analysis

September 23, 2026: Hands-on Coding and Practical Use Cases in Python and R

September 24, 2026: Deconstructing Research: Critical Replication of Published ML-in-Finance Papers

September 25, 2026: Intellectual Property Rights, Software Protection, and Patenting in FinTech

Do not miss :

Registration form: Link to be added.

Microsoft Teams link (for online attendance): Link to be added

Whatsapp group link: Link to be added

GitHub (for course materials+assessment materials):

• Introduction to AI for Financial Applications - Link to be added

• Intellectual Property Rights and Patenting - Link

Social Event Session: ENIGMA Cipher Center https://csenigma.pl/en/

Date:  Thursday at 16:00 (4:00 PM)

Organizing Committee

Barbara Będowska-Sójka

Agata Maćków-Wojciechowska

Aleksandra Rutkowska

Contact - Conference Secretariat

Barbara Będowska-Sójka