Job Information
Organisation/Company: Wrocław University of Science and Technology
Department: Department of Artificial Intelligence
Research Field: Computer science » Other
Researcher Profile: First Stage Researcher (R1)
Positions: PhD Positions
Application Deadline: 14 Sep 2026 - 12:00 (Europe/Warsaw)
Country: Poland
Type of Contract: Not Applicable
Job Status: Not Applicable
Offer Starting Date: 1 Oct 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
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: Styp3_K46_W04N_D03_03_2026
Deadline for submitting applications for participation in the competition: September 14, 2026, 12 p.m.
Planned employment date: October 1, 2026
Where to apply
E-mail: marta.hoffman-homa@pwr.edu.pl
Requirements
Research Field: Computer science » Other
Education Level: PhD or equivalent
Skills/Qualifications
The PhD student will conduct research tasks outlined in the "AITAX (AI Tax Advisor)" project funded by the Foundation for Polish Science under the FIRST TEAM FENG program, supervised by Dr. habil. Tomasz Kajdanowicz. Key responsibilities include:
- Developing and testing AI algorithms to support semantic search and generate summaries of tax rulings.
- Collaborating in developing a semantic repository for tax rulings and court decisions.
- Preparing scientific publications based on research outcomes.
Specific Requirements
- Completion of a Master's degree in Computer Science, Mathematics, Data Engineering, Law, or related fields.
- Enrollment in a doctoral school.
- Proficiency in English for reading technical literature and writing scientific papers.
- Motivation to work in a multidisciplinary research team and collaborate on planned research tasks.
- Strong knowledge of modern AI tools and technologies in NLP, LLMs, and RAG.
- Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co-pilot, Cursor).
- Preferred: Experience with legal data analysis, especially tax rulings or court decisions.
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: 5000 PLN. Scholarship duration: 1 year
Selection process
- Copy of a diploma or certificate confirming the completion of a Master’s degree.
- Document confirming doctoral school enrollment.
- CV.
- Signed consent for personal data processing for recruitment purposes.
Sample consent text: “I agree to the processing of my personal data for the recruitment process and the selection of a scholarship recipient and the conclusion of a scholarship agreement at the Wrocław University of Science and Technology. I acknowledge that the university is the data controller and understand my rights concerning data protection.”
Additional comments
Application deadline: 14.09.2026, 12:00 PM
Interview date: 17-25.09.2026
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/1e5d5a06-d1bd-4b0c-99c4-4e53ffebfc2e/view/
Work Location(s)
Number of offers available: 1
Company/Institute: Wrocław University of Science and Technology
Country: Poland
City: Wrocław
Postal Code: 50-370
Street: Wybrzeże Wyspianskiego 27
Contact
City: Wrocław
Website: https://pwr.edu.pl/
Street: Wybrzeże Wyspianskiego 27
Postal Code: 50-370
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