The Statistical Natural Language Processing Lab at the Department of Computational Linguistics at Heidelberg University (http://www.cl.uni-heidelberg.de/statnlpgroup/), led by Prof. Stefan Riezler, invites applications for a fully funded Postdoc position. The position is situated in a research project on bandit/reinforcement learning for spoken language translation, funded by the German Research Foundation (DFG). Furthermore, it is highly recommended that the Postdoc candidate contributes to the lab and the study program by regularily teaching in our Computational Linguistics program. The appointment is for up to three years and starts at the earliest convenience in 2018. Payment is according to the German TV-L 13 scale (http://www.dfg.de/formulare/60_12/60_12_en.pdf)
1. hold a PhD in Computational Linguistics, Computer Science or a related field;
2. have a proven record of excellence in research in the fields of machine learning and/or machine translation;
3. have strong programming skills;
4. have experience in large-scale experimentation;
5. have good communication skills in English, both oral and written.
About University of Heidelberg
Heidelberg University is one of the top-ranking locations in the world of international science and scholarship. As Germany's oldest seat of higher learning it can look back on a tradition for which it is envied by many other universities, not only in Germany. But while its six-hundred-year history is a source of justified pride, it would be foolish indeed to rest on the laurels of the past. Accordingly, the University is intent on playing an active role in shaping the future, both by engaging in innovative research and by educating the decision-makers of tomorrow.
In the competition between the best universities our position could hardly be more favourable. In many fields Heidelberg's prominence is uncontested, both nationally and internationally. With its broad range of subjects it is a classic embodiment of the original ideal of universitas. As such, it scores over many of its rivals with an asset that has become indispensable for today 's research-oriented universities if they want to compete at an int