PhD Student (2 people)- Scholarship Holder

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PhD Student (2 people)- Scholarship Holder

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Job description

Offer DescriptionReference No. Styp_K46_W04N_D03_02_2025Deadline for submitting applications to participate in the competition: by 17th January 2025, until 3.00 pm.Planned date of employment: 1st February 2025Where to apply E-mailmarta.smutnicka@pwr.edu.plRequirementsResearch Field Computer science » Informatics Education Level PhD or equivalentSkills/QualificationsThe 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 Requirements1. Completion of a Master’s degree in Computer Science, Mathematics, Data Engineering, Law, or related fields.
2. Enrollment in a doctoral school.
3. Proficiency in English for reading technical literature and writing scientific papers.
4. Motivation to work in a multidisciplinary research team and collaborate on planned research tasks.
5. Strong knowledge of modern AI tools and technologies in NLP, LLMs, and RAG.
6. 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).
7. Preferred: Experience with legal data analysis, especially tax rulings or court decisions.Languages POLISH Level ExcellentLanguages ENGLISH Level GoodInternal Application form(s) neededPhD Scholarship Offer in the FIRST TEAM FENG Project Foundation for Polish Science.pdfEnglish(287.89 KB – PDF)Additional InformationBenefitsWe offer:1. stable employment at a prestigious university,2. opportunity to conduct scientific research using modern artificial intelligence solutions,3. opportunity for professional development.Selection processSubmission Address: Please send applications to Marta Smutnicka atSelected 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 detailsWork Location(s)Number of offers available 2 Company/Institute Wrocław University of Science and Technology Country Poland City Wrocław GeofieldContact CityWrocław WebsiteStreetul. Janiszewskiego 11/17 Postal Code50-372STATUS: EXPIREDShare this page

Expected salary

Location

Wrocław, dolnośląskie

Job date

Mon, 06 Jan 2025 04:38:35 GMT

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