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Logo für den Job Sachbearbeiterin / Sachbearbeiter (Bachelor of Law) (m/w/d) bei der Justizvollzugsanstalt Kleve
Land Nordrhein-Westfalen
locationKrohnestraße 11, 47533 Kleve, Deutschland
source portals
JOBSNRW.de
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Wilh. Schlechtendahl & Söhne GmbH & Co. KG
locationHauptstraße 18-32, 42579 Heiligenhaus, Deutschland
source portals
JOBSNRW.de
Logo für den Job Betriebsverantwortliche/r „Sicherheitstechnik“ (m/w/d)
Land Nordrhein-Westfalen
locationPlatz des Landtags 1, 40221 Düsseldorf, Deutschland
remoteTeilweise Homeoffice
source portals
JOBSNRW.de
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Land Nordrhein-Westfalen
locationPlatz des Landtags 1, 40221 Düsseldorf, Deutschland
remoteTeilweise Homeoffice
source portals
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Logo für den Job Assistenz der Geschäftsführung (w/m/d)
Land Nordrhein-Westfalen
locationFreiligrathstraße 25, 40479 Düsseldorf-Stadtbezirk 1, Deutschland
remoteTeilweise Homeoffice
source portals
JOBSNRW.de
Logo für den Job Mitarbeiter (m/w/d) bei dem Arbeitsgericht Solingen in der Serviceeinheit
Land Nordrhein-Westfalen
locationWupperstraße 32, 42651 Solingen, Deutschland
remoteTeilweise Homeoffice
source portals
JOBSNRW.de
Logo für den Job Duales Studium BWL-Handel (B. A.) 2026 in 47839 Krefeld
locationMühlenweg 8, 47839 Krefeld, Deutschland
source portals
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Logo für den Job Fachkraft für Veranstaltungstechnik (m/w/d) in Vollzeit (39 Wochenstunden)
Mülheimer Stadtmarketing und Tourismus GmbH (MST)
locationAm Schloß Broich 28, 45479 Mülheim an der Ruhr, Deutschland
source portals
Jobmarkt-NRW.de
Logo für den Job  Mitarbeiter Montage einer Metallverarbeitung (m/w/x)
locationBessemerstraße, 42551 Velbert, Deutschland
source portals
JOBSNRW.de

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PhD Student in Natural Language Processing (m/w/d)

PhD Student in Natural Language Processing (m/w/d)

Land Nordrhein-Westfalen
locationStudierendenwohnanlage Universitätsstraße 1, Studierendenwerk Düsseldorf, 40225 Düsseldorf, Deutschland
remoteTeilweise Homeoffice
Vollzeit

Main tasks

The goal of Prof. Milica Gasic' DFG project “Curriculum learning in natural language generation” is to better understand the origins of hallucinations and eventually
reduce their magnitude and severity in the output of NLG models and in particular examine relations to theory of mind and uncertainty modelling. The teaching
duties are within the courses relevant to machine learning and natural language processing.


Your Profile

The candidate 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 candidate should be fluent in
English with good writing skills. Knowledge of German is not required.


Our Offer

The position is partly funded by Prof. Milica Gasic' DFG project “Curriculum learning in natural language generation” and comes with a competitive salary (EG 13
TV-L), is full-time and carries a modest teaching duty (2 SWS).
The position is initially a one-year fixed-term contract, with the option of extension based on satisfactory performance. It is a qualification position in the sense of
the Act of Academic Fixed-Term Contract (Wissenschaftsvertragsgesetz-WissZeitVG), which is to promote the scientific qualification of the employee. The start
date is negotiable, but the preferred start would be on 1st October 2026.


Our Benefits

Company pension grant; Good transport connection; Free parking; Working from home; International work; Bonus payments; Union rates; Payment of capitalforming
benefits

About Us

The Dialog System and Machine Learning Group conducts fundamental research in natural language processing and related areas of machine learning, with a
view towards the development of the next generation of intelligent conversational agents.

Heinrich Heine University upholds the principle of "Excellence through Diversity". It has signed the "Diversity Charter" and successfully participated in the
Stifterverband's audit "Shaping Diversity". It is certified as a family-friendly university and has set itself the goal of promoting diversity among its staff. Applications
from people of all genders are expressly welcome. Applications from women will be given preferential consideration in accordance with the State Equal
Opportunities Act. The application of severely disabled persons and persons with equivalent disabilities is also welcome. In order for a severe disability or equality
to be taken into account, please provide evidence of this with suitable documents.