PhD Student Scholarship Offer (StypD_K46_W04N_D03_11_2026)

Unist; Wrocław; Hybrid; PLN 54,000 - 56,000; Full time

Benefits offered by this job

PhD Scholarship (5000 PLN/month for 11

Mentorship by AI and tax-law experts

Flexible study-friendly environment

Job summary

Wroclaw University of Science and Technology invites applications for a PhD position under the FIRST TEAM FENG program. You will research AI techniques for automatic tax data analysis, focusing on semantic search, summarisation of tax rulings, and repository development.

Engage with experts in NLP, LLMs, and tax law, publish results in top journals, and enjoy a scholarship of 5000 PLN monthly for 11 months. Flexible, research-driven environment in Poland.

Qualifications

• Master's degree or equivalent in Computer Science, Mathematics, Data Engineering, Law, or related fields.
• Enrollment in a doctoral school.
• Proficiency in English (B2) for reading technical literature and writing scientific papers; Proficiency in Polish (C1) for domain data understanding including Polish tax interpretations.

Responsibilities

• Develop AI algorithms to support semantic search and generate summaries of tax rulings.
• Collaborate on building a semantic repository for tax rulings and court decisions.
• Prepare scientific publications based on research outcomes.

Skills

Python

NLP

Machine learning

Co-pilot

Education

Master's degree or equivalent in Computer Science, Mathematics, Data Engineering, Law, or related fields

Tools

PyTorch

Scikit-learn

Hugging Face Transformers

Cursor

Job description

Wroclaw University of Science and Technology

Organisation/Company Wroclaw University of Science and Technology Department Faculty of Information and Communication Technology Research Field Computer science » Other Researcher Profile Other Profession Positions Bachelor Positions Application Deadline 23 Oct 2026 - 12:00 (Europe/Warsaw) Country Poland Type of Contract Not Applicable Job Status Not Applicable Offer Starting Date 1 Nov 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: StypD_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 [e-mail]

Requirements

Research Field Computer science » Other Education Level Master Degree 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 (B2) for reading technical literature and writing scientific papers.
• 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 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.

Languages POLISH Level Excellent

Languages ENGLISH Level Excellent

Internal Application form(s) needed

PhD Scholarship Offer in the FIRST TEAM FENG Project.pdf

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: 11 months

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

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.

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 Geofield