We anticipate the availability of funds for two PhD positions in the area of information extraction, data mining and machine learning.
The project aims at designing a framework for extracting evidence and actionable intelligence from large amount of noisy multilingual multimodal data based on advanced speech and language technologies (SLTs), visual analysis (VA) and network analysis (NA). The overall project goal is to achieve a significant improvement in identification of events, entities and relations, and to design a new generation of probabilistic and neural networks based tools interfacing SLT, VA and NA technologies. The research will be carried out together with a European consortium of high-profile research institutes and companies.The successful candidate should have a degree in computer science, computational linguistics, mathematics, physics or a discipline with a related background. Excellent programming skills in modern object-oriented languages are required, as well as strong analytical and problem-solving skills. Relevant expertise in the area of the project is desired. Very good oral and written communication skills in English are required.
This work will be conducted at the Spoken Language Systems group (https://www.lsv.uni-saarland.de/) at Saarland University.
Saarland University (http://www.uni-saarland.de/en/) is a European leader in Computer Science research and teaching, and is particularly well-known for its research in Computational Linguistics and Natural Language Processing. In addition, the Max Planck Institute for Computer Science, the Max Planck Institute for Software Systems and the German Research Center for Artificial Intelligence (DFKI) are located on campus. Students and researchers come from many countries and the research language is English.
The department of Language Science and Technology at Saarland University is one of the leading departments in the speech and language area in Europe. The flagship project at the moment is the CRC on Information Density and Linguistic Encoding. It also runs a significant number of European and nationally funded projects.
Both positions are 3-years positions with a salary German TV-L E13 scale (75%). The starting salary is about 34,000 euros per year and increases with experience.
Each application should include:
* Curriculum Vitae including a list of publications (if applicable)
* Transcript of records
* Short statement of interest (not more than half a page)
* Names of two references
* Any other supporting information or documents
Applications (documents in PDF format in a single file) should be sent to: Dietrich.Klakow@lsv.uni-saarland.de
Priority will be given to applications received by Monday April 15th 2019.
Further inquiries regarding the project should be directed to: Michael A. Hedderich <firstname.lastname@example.org> or Olga Petukhova <email@example.com>