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Wrocław University of Scince and Technology

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First Team FENG AITAX scholarship

Bachelor/Master Student Scholarship in AI for Tax Data Processing at Wrocław University of Science and Technology Wrocław University of Science and Technology in Poland

Degree Level

not provided

Field of study

Computer Science

Funding

Monthly scholarship of 4000 PLN for 1 year. The position is funded by the European Funds for a Modern Economy (FENG) 2021–2027 Priority 2 / First Team programme.

Deadline

Sep 14, 2026

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Country

Poland

University

Wrocław University of Scince and Technology

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Keywords

Computer Science
Information Technology
Mathematics
Artificial Intelligence
Natural Language Processing
Statistics
Large Language Models
ML

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About this position

Student scholarship opportunity at Wrocław University of Science and Technology in Poland, within the Department of Artificial Intelligence.

The project, AITAX (AI Tax Advisor), aims to build an AI system for tax matters support, including a semantic repository for tax documents, machine learning methods for embedding representations, semantic search, interpretation summarisation, and an interactive chatbot for factual-state definition and tax ruling applications. The work also involves advanced NLP models, in-context learning, and conversational memory mechanisms.

This is a bachelor/master student scholarship (not a PhD or postdoc opening). The scholarship holder will contribute to full-stack development, frontend and backend implementation, integration of LLM APIs and databases/cloud services, scalable system design, and testing/evaluation of AI algorithms and prototypes.

Eligibility highlights: student status in a bachelor’s or master’s programme; preferred fields include artificial intelligence, computer science, data engineering, and mathematics; excellent English; strong Python and database skills; familiarity with React/Vue/Angular and Node.js/Flask/FastAPI; interest in NLP, machine learning, microservices, Docker/Kubernetes, Hugging Face, PyTorch, and Scikit-learn.

Funding: monthly scholarship of 4000 PLN for 1 year.

Deadline: 14 September 2026, 12:00 PM (Europe/Warsaw). Applications are submitted by email to Marta Hoffman-Homa and must include proof of student status, CV, and signed consent for personal data processing.

Funding details

Monthly scholarship of 4000 PLN for 1 year. The position is funded by the European Funds for a Modern Economy (FENG) 2021–2027 Priority 2 / First Team programme.

What's required

Applicant must be a student in a bachelor’s or master’s program, preferably in artificial intelligence, computer science, data engineering, or mathematics. Required: excellent English for technical literature, motivation for multidisciplinary research, knowledge of current AI technologies such as NLP and machine learning, strong Python programming skills, experience with relational and non-relational databases, familiarity with frontend and backend technologies, and ability to collaborate on research tasks. Polish and English at excellent level are listed among language requirements. Desirable: microservices and containerisation (Docker, Kubernetes), Hugging Face integration, ML libraries such as PyTorch and Scikit-learn, and productivity tools like Co-pilot or Cursor.

How to apply

Send the application by email to Marta Hoffman-Homa at [email protected]. Include a document confirming student status, CV, and a signed consent for personal data processing. Applications must be submitted by 14 Sep 2026 at 12:00 PM.

More information can be found here

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