PhD position: Data Augmentation and Low Resource Language Processing

(Computer Science, Computational Linguistics  or similar)

For automatic language processing (especially for languages like German), hardly any tools are available to automatically generate the datasets (data augmentation) to assist low-resource machine learning. In cooperation with our partners, we will explore algorithms for generating domain-specific synthetic speech and language data and also perform research on algorithms that can robustly train language models and natural language understanding modules in order to create neural network based dialog systems with minimal manually created domain specific training data.

We are anticipating the availability of a PhD position in this area starting May of 2022.

Ideal candidates for the position would have:

   1. A good understanding of natural language processing

   2. Excellent knowledge of machine learning

   3. Excellent programming skills

   4. Masters degree in Computer Science, Computational Linguistics  or similar

Salary: The PhD position will be 75% of full time on the German E13 scale (TV-L) which is about 3055€ per month before tax and social security contributions. The appointments will be for three years with possible extensions subject to follow-up funding.

About the department: 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. In total, it has seven faculty and around 50 postdoctoral researchers and PhD students. The department is part of the Saarland Informatics Campus. With 900 researchers, two Max Planck instituts and the German Research Center for Artificial Intelligence, it is one of the leading locations for Informatics in Germany and Europe.

How to apply: Please send us a letter of motivation, your CV, your transcripts, if available a list of publications, and the names and contact information of at least two references, as a single PDF or a link to a PDF if the file size is more than 3 MB.

Please apply latest by January 15th, 2022. Earlier applications are welcome!

Contact: Applications and any further inquiries regarding the project should be directed to