PhD Positions, Leibniz Information Centre for Science & Technology, Germany (2019)

The Leibniz Information Centre for Science and Technology – Technische Informationsbibliothek (TIB) – Program Area C, Research and Development, is looking to employ two Marie Skłodowska-Curie Early Stage Researchers (Ph.D. Research Positions) (m/f/d) to work in the Visual Analytics Research Group (Prof. Dr. Ewerth) at the earliest possible date (latest start: July 1st, 2019). The positions are limited to three years. The working time is 100% of the regular weekly working time (39.8 hours / week).

The positions are available in the context of the Innovative Training Network (ITN) CLEOPATRA: “Cross-lingual Event-centric Open Analytics Research Academy” (http://cleopatra-project.eu/).

The CLEOPATRA ITN offers a unique interdisciplinary and cross-sectoral research and training programme, which will explore how we can begin to analyse and understand the major events that influence and shape our lives and our societies. It will facilitate advanced cross-lingual processing of textual and visual information related to key contemporary events at scale, and will develop innovative methods for efficient and intuitive user access to and interaction with multilingual information.

Dependent on the individual research project, successful candidates will have a strong background in Computer Science or Digital Humanities (an outstanding MSc degree in the corresponding discipline). Good proficiency in English is expected; knowledge of further European languages is of advantage. International experience during your studies or afterwards as well as good social and communication skills are helpful.

As a successful candidate, you will:
- Conduct research on your PhD topic at TIB in the context of the CLEOPATRA project.
- Provide important input to the development of integrated cross-lingual data analytics platforms.
- Actively participate in the training programme offered by the CLEOPATRA ITN.
- Engage with researchers at CLEOPATRA partner organisations across the EU.
- Conduct research visits and secondments according to the individual career development plan.

PhD Topic 1: Relations of textual and visual Information

Develop and research (deep) learning systems that are able to 1.) find the paragraphs and sentences in a text which are relevant to image content, and 2.) predict the granularity and semantic level of text-image relations.

PhD Topic 2: Contextualisation of images in multilingual sources

Research how surrounding text information can be utilized to infer and refine spatial and temporal information about an image in multilingual Web sources to support cross-lingual alignment.

Requirements
A successfully completed, subject-related university degree (e.g., MSc in Computer Science or equivalent) is required.

For more information, please visit the following link:
PhD Positions, Leibniz Information Centre for Science & Technology, Germany (2019)