Research Associate in Natural Language Processing - Hamburg, Deutschland - Universität Hamburg
Beschreibung
Research Associate in Natural Language Processing - 28 Subsection 1 HmbHG (Phd) or - 28 Subsection 2 HmbHG (Postdoc)- InstitutionFaculty of Mathematics, Informatics and Natural Sciences, Department of Informatics, Language Technology Group
Application deadline
Scope of workfull-time position suitable for part-time
Responsibilities:
Research associates will be expected primarily to teach and conduct research.
The research associate will also have the opportunity to pursue further academic qualifications, in particular a doctoral dissertation or a Habilitation (postdoctoral qualification).
Therefore, at least one-third of set working hours will be made available for the associate's own academic work.Specific Duties
Requirements:
Phd position:
- a university degree in a relevant field
Postdoc position:
We expect a track record of relevant publications in the field of Natural Language Processing/Computational Linguistics, such as Computational Linguistics Journal, Journal of Natural Engineering, ACL series conferences, and COLING on core topics in language technology and computational linguistics, commensurate to academic age.
The advertised position is aimed at both suitable master's degree graduates looking to undertake doctoral studies, as well as suitable applicants who have already completed their doctoral studies.
We offer
- Reliable remuneration based on wage agreements
- Continuing education opportunities
- University pensions
- Attractive location
- Flexible working hours
- Worklife balance opportunities
- Public transport pass (ProfiTicket) and much more
- Health management
- Educational leave
- 30 days of vacation per annum
As a flagship university in the greater Hamburg region, it nurtures innovative, cooperative contacts to partners within and outside academia.
It also provides and promotes sustainable education, knowledge, and knowledge exchange locally, nationally, and internationally.Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.
Instructions for applying
Contact
Prof. Dr. Chris Biemann
Reference number
- 509Application deadline
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