Student Scholarship ; Styp_K_WN_D__

Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology

Organisation/Company Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology Department Department of Artificial Intelligence Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions Other Positions Final date to receive applications 27 Jan 2026 - 12:00 (Europe/Warsaw) Country Poland Type of Contract Other Type of Contract Extra Information Student - Scholarship Holder Job Status Other Job Status Extra Information Student - Scholarship Holder Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme?

Other EU programme Reference Number (FENG) 2021–2027 Priority 2 Is the Job related to staff position within a Research Infrastructure? No

The AITAX project aims to address the complexity and dynamics of modern tax regulations by developing a cutting-edge AI solution for automating the analysis and processing of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications.

The project incorporates advanced NLP models, in-context learning techniques, and dynamic prompting with conversational memory mechanisms.

Funded by the European Funds for a Modern Economy (FENG) 2021–2027 Priority 2, under the First Team competition.

Reference number:
_W04N_D03_03_2026

Deadline for submitting applications for participation in the competition:
January 27, 2026, 12 p.m.

Planned employment date:
February 1, 2026

E-mail marta.smutnicka.pl

Research Field Computer science » Informatics Education Level Bachelor Degree or equivalent

• Status as a student in a bachelor's or master's program (preferred fields: artificial intelligence, computer science, data engineering, mathematics).
• Proficiency in English sufficient for using technical literature.
• Motivation to work in a multidisciplinary research team and ability to collaborate with team members on planned research tasks.
• Knowledge of current artificial intelligence technologies (e.g., NLP, machine learning).
• Programming skills in Python and experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and tools for efficient software development (e.g., Co-pilot, Cursor).
• Desirable:
  Basic knowledge of data analysis or experience working with legal data.

The student-scholarship holder will perform research tasks outlined in the "AITAX (AI Tax Advisor) - An Innovative AI System for Tax Matters Support" project, funded by the Foundation for Polish Science under the FIRST TEAM FENG program, under the supervision of the Principal Investigator, Dr. habil. Tomasz Kajdanowicz. The scholarship holder's responsibilities will include:

• Preparing and analysing data for research purposes.
• Collaborating on the development and testing of artificial intelligence algorithms supporting semantic search.
• Assisting with functional tests and evaluating system prototypes.

Languages POLISH Level Excellent

Languages ENGLISH Level Excellent

Why join the AITAX project?

🌍 Make a Difference:
Work on a game-changing project automating tax processes using AI, positively impacting the economy and society.

💡 Learn from Experts:
Collaborate with AI leaders and tax law specialists, gaining hands‑on experience with cutting‑edge LLMs and advanced technologies.

📈 Boost Your Career:
Publish in top-tier journals, present at international conferences, and enhance your academic and professional profile.

🤝 Network Globally:
Interact with mentors, industry partners, and researchers who could become key collaborators in your career journey.

⚙️ Gain Practical

Skills:

Acquire expertise in building AI models, analysing legal data, and delivering real‑world solutions, all in a multidisciplinary…