Offer Description
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: Styp_K46_W04N_D03_11_2026
Deadline for submitting applications for participation in the competition: October 23, 2026, 12 p.m.
Planned employment date: November 1, 2026
Where to apply
E-mail: marta.hoffman-homa@pwr.edu.pl
Requirements
Research Field: Computer science » Other
Education Level: Bachelor Degree or equivalent
Skills/Qualifications
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.
Specific Requirements
- Status as a student in a bachelor's or master's program (preferred fields: artificial intelligence, computer science, data engineering, mathematics).
- Proficiency in English (B2) sufficient for using technical literature.
- Proficiency in Polish (C1) for domain data understanding including Polish tax interpretations and Polish tax law.
- 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.
Languages: POLISH — Level: Excellent
Languages: ENGLISH — Level: Excellent
Additional Information
Benefits
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 environment bridging research and business.
- 🎓 Study-Friendly Environment: Flexible working hours allow you to grow professionally while maintaining a balanced personal life.
Employment terms: Monthly scholarship: 4000 PLN. Scholarship duration: 11 months
Scholarship period: 01.11.2026 - 30.09.2027
Selection process
- A document confirming student status.
- CV.
- A scanned copy or original of the candidate's signed consent for personal data processing for recruitment purposes, with the following text: "I consent to the processing of my personal data for the purposes of conducting the recruitment process, selecting the scholarship holder, and concluding the scholarship agreement at the Wrocław University of Science and Technology. I acknowledge that the Wrocław University of Science and Technology (Wybrzeże Wyspiańskiego 27, 50-370 Wrocław) is the data controller. I am aware of my rights regarding data protection."
Additional comments
Application deadline: 23.10.2026, 12:00 PM
Interview date: 26-30.10.2026
Submission Address: Please send applications to Marta Hoffman-Homa marta.hoffman-homa@pwr.edu.pl
Selected candidates will be notified individually via email about the date and venue of the interview. The University reserves the right to respond only to selected candidates and cancel the recruitment process without explanation.
Website for additional job details: https://ofertypracy.pwr.edu.pl/offer/0ad93114-3e88-4c49-9f8c-6bba3a474a4d/view/
Work Location(s)
Number of offers available: 1
Company/Institute: Wroclaw University of Science and Technology
Country: Poland
City: Wrocław
Postal Code: 50-370
Street: Wybrzeże Wyspianskiego 27
Contact
City: Wrocław
Website: https://wit.pwr.edu.pl/en/
Street: ul. Janiszewskiego 11/17
Postal Code: 50-372