TU Wien is Austria’s largest institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto “Technology for People”. As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society.

At the Institute of Information Systems Engineering, in the Research Unit of Machine Learning TU Wien is offering a position as student staff in research/administration for 20 hours/week. Expected start: November 2024. This position is limited to 6 months, but no longer than the completion of a master’s or diploma degree.

Tasks

• Committed cooperation in the preparation and implementation of projects
• Administrative involvement in teaching and the supervision of students
• Organizational support in the supervision of exercises
• Collaboration in organizational and administrative tasks in the field of teaching
• As part of the diploma thesis, you will work on the development of a:
  • Prototype for a general research tool based on Large Language Models (LLM). In the so-called Retrieval Augmented Generation (RAG), various retrieval tools (such as Llamaparse, Omniparse, praisonAI, SmartScraperGraph, CrewAIInc, LightningAI, ScrapeGraphAI, Crawl4AI, GPT-Actions, firecrawl_dev and WebWand) are to be integrated and tested. Furthermore, text embeddings are to be developed that are particularly suitable for the special requirements of the RAG. This general research tool is to be tested on the context-specific preparation of complex information for various interest groups, whereby specific interest groups for TUW-internal applications are students, alumni, sponsors, partners and the community. Furthermore, a flexible test environment will be developed as part of the prototype to enable the evaluation of the research tool and methods. Advanced evaluation techniques will be supported OR
  • Demonstrators Demonstrators for the retrieval of company information (e.g. annual reports), the linking with TUW-internal information on suitable TUW research projects and the merging and further processing with the help of Large Language Models (LLM) in cooperation with the Department of Fundraising. Initially, the Retrieval Augmentation Generation (RAG) approach will be used, although other approaches can also be evaluated. Particular attention should be paid to the question of which information in which form is best transferred to which LLM as input. If possible, the quality of the selected approach or its variants should be evaluated quantitatively.

Your Profile

• Enrollment in a relevant degree program in computer science or mathematics; No completed master’s or diploma degree in the subject area
• Subject-specific knowledge
• Experience as a tutor is an advantage
• Team and communication skills
• Desired prior knowledge: excellent programming skills (especially Python); generative AI; large language models; retrieval augmented generation; vector databases.

We Offer

• Diverse and exciting area of responsibility in a collegial team
• Hybrid way of working with up to 60% home office option
• A range of attractive social benefits (see TU Wien fringe benefit catalog)
• Wide range of internal and external training opportunities, various career options
• Central location and good accessibility (U1/U4 Karlsplatz)

TU Wien is committed to increasing the proportion of women in particular in leadership positions. Female applicants are explicitly encouraged to apply. Preference will be given to women when equally qualified, unless reasons specific to a male applicant tilt the balance in his favour.

People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university, Mr. Gerhard Neustätter.

Entry level salary is determined by the pay grade C of the Austrian collective agreement for university staff. This is a minimum of currently EUR 1,299.60/month gross, 14 times/year for 20 hours/week.

We look forward to receiving your application until November 7, 2024. Please indicate in your letter whether you are interested in the topic Prototype or Demonstrator as part of your thesis. Thank you!

Application

We look forward to receiving your application until 07.11.2024.

Apply now