CompLing DatabaseMain Menu
You are not logged in.

Heinrich Heine University Düsseldorf — PhD student

Title:PhD student
Type:PhD studentship
Brief Description:Dialogue modeling
Company:Heinrich Heine University Düsseldorf
Location:Düsseldorf, Germany
Posted On:Dec 01, 2021
Application Deadline:Jan 15, 2022
More Information:
Two PhD Positions in Dialogue Modelling at the Dialog Systems and Machine
Learning Group


We are looking for two enthusiastic and talented students to join our
award-winning international research team at Heinrich Heine University
Düsseldorf.

The positions are fully funded by Prof. Milica Gasic' ERC Starting Grant project
DYMO. They come with a competitive salary (EG 13 TV-L; 4,074.30 € to 5,872.94
€ monthly gross salary), are full-time and carry no teaching duties.

The goal of the project is to develop the next generation of statistical dialog
systems that are dynamically extensible in terms of their knowledge, management
and generation. The project also involves building realistic user models and
sophisticated reward mechanisms based on cutting edge machine learning and
natural language processing methods.

The candidates must hold or be close to obtaining a master’s degree in
Computer Science, Mathematics, Engineering, Computational Linguistics or a
related field. Some exposure to Natural Language Processing or Machine Learning
is desirable. Excellent programming skills are essential. The candidates should
be fluent in English with good writing skills. Knowledge of German is not
required.

The position is for 3 years. The start date is negotiable.

Düsseldorf is a very cosmopolitan city. It is the capital of the most populous
German state, nicely positioned on the Rhein river, with a beautiful old town as
well as many other nice quarters.

To apply please send your CV, university transcripts and a brief cover letter to
Prof. Milica Gasic at gasic@hhu.de  by 15th of January
2022.

For any questions please contact Prof. Milica Gasic at gasic@hhu.de

The Heinrich Heine University is an equal opportunities employer.

Prof. Milica Gasic, SMIEEE
Chair in Dialog Systems and Machine Learning
Institute for Informatics
Heinrich Heine University Düsseldorf
Notes:
Log in with administrative privileges to enable editing