Ph.D./Postdoc position: ChatGPT for Mathematics
ChatGPT performs poorly when chatting about higher mathematics. We offer a fully funded Ph.D./Postdoc position to build an interactive (chat) system to retrieve trusted mathematical knowledge. In the DFG-funded consortium, Mathematical Research Data Initiative (MaRDI), Germany’s leading mathematics research institutions united to build a one-stop portal that provides access to research data relevant to mathematics research. This includes datasets like arXiv, Wikipedia, zbMATH Open, the Digital Library of Mathematical Formulae, Mathoverflow, and the Online Encyclopedia of Integer Sequences. Your research aims to explore the possibilities of large language models and implement a ChatGPT-like controversial interface to the research data supported with references from trusted data sources curated by MaRDI.
You should…
- have a master’s degree in computer science, mathematics, or a related field.
- be interested in big data processing technology.
- love to write code.
- be willing to fight bugs and have no fear of breaking things.
We offer…
- the chance to join an ambitious team of Ph.D. students, and postdocs led by Prof. Bela Gipp.
- access to one of Germany’s biggest supercomputers and the manually curated research data of Germany’s leading mathematicians
- a fully funded position as a Ph.D. student or postdoc with a salary according to TVöD level E13 or E14 without teaching obligations, depending on your previous experience, which is currently in the range between €52 417 and €82 120.
Do you feel ready for that challenge?
- For questions, contact Moritz Schubotz via email moritz.schubotz@fiz-karlsruhe.de or phone +49 1578 047 1397,
- or apply directly via https://www.fiz-karlsruhe.de/en/stellenanzeigen/phdjunior-researcher-or-postdocsenior-researcher-fmx-mathematical-research-data
Related works:
- M. Schubotz, P. Scharpf, K. Dudhat, Y. Nagar, F. Hamborg, and B. Gipp, “Introducing MathQA – A Math-Aware Question Answering System,” in Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), Workshop on Knowledge Discovery, Fort Worth, USA, 2018.
- A. Greiner-Petter, M. Schubotz, C. Breitinger, P. Scharpf, A. Aizawa, and B. Gipp, “Do the Math: Making Mathematics in Wikipedia Computable,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, iss. 4, pp. 4384-4395, 2023.
- P. Scharpf, M. Schubotz, H. S. Cohl, C. Breitinger, and B. Gipp, “Discovery and Recognition of Formula Concepts using Machine Learning,” Scientometrics, 2023.
- P. Scharpf, M. Schubotz, A. Spitz, A. Greiner-Petter, and B. Gipp, “Collaborative and AI-aided Exam Question Generation using Wikidata in Education,” in Proceedings of the 3rd Wikidata Workshop (Wikidata 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022), Hangzhou, China (virtual), 2022.
#ChatGPT, #Mathematics, #FAIR, #NFDI, #ResearchData, #OpenScience
