puestos de Data Scientist en Alemania

Institution: Hub of Computing and Data Science (HCDS)

Salary level: EGR. 13 TV-L

Start date: 01.01.2026, fixed till 31.12.2027 (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [WissZeitVG]).

Application deadline: 12.11.2025

Scope of work: full-time position suitable for part-time

The Hub of Computing and Data Science (HCDS) is a competence unit for research and forms the core element for the central support of digitalization and digital transformation in research at the University of Hamburg.

Your responsibilities include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications. They may also pursue doctoral studies outside of working duties.

In the project "Research Information Service Romance Studies", you will research the conceptualization and implementation of multilanguage crawlers for digital resources. Further, the processing of the data and semi-automatized categorization based on scientific systems will be part of your responsibility. In addition, the conceptualization, implementation and maintenance of a research network spanning romance studies in a broader sense as well as advanced features to identify topical and methodological experts is expected.

• A university degree in a relevant field.

• experience in management and creation of datasets, corpora and metadata
• experience in Computational linguistics
• experience in one or more of the following areas:
  • modelling of data and data management
  • linguistic applications of artificial intelligence
  • multimodal data collection and processing
  • retrieval augmented generation architectures
  • web architectures
  • data visualization
• organization and management of software development
• very good command of written and spoken English and German
• strong social and communication skills, initiative, motivation, high sense of responsibility, ability to work in a team, and very good organizational skills

• Reliable remuneration based on wage agreements
• Continuing education opportunities
• University pensions
• Attractive location
• Flexible working hours
• Work-life balance opportunities
• Health management, EGYM Wellpass
• Educational leave
• 30 days of vacation per annum

The opportunity to pursue a Ph. D. is given.

Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle “Innovating and Cooperating for a Sustainable Future in a digital age” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.

The University of Hamburg is committed to equity. Diversity enriches our university life, whether in our studies, research, teaching, education, or workplace. We therefore welcome all applications, regardless of gender, gender identity, sexual orientation, ethnic or social background, age, religion or belief, disability, or chronic illness.

The University of Hamburg strives to increase the number of women in academia, and encourages qualified female academics to apply.

Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.

Contact

Dr. Martin Semmann

martin.semmann@uni-hamburg.de

+49 40 42883-2382

Reference number: 329

Location: Albert-Einstein-Ring 8-10, 22761 Hamburg

Use only the online application form to submit your application with the following documents:

• cover letter
• CV
• copies of degree certificate(s)

If you experience technical problems, send an email to bewerbungen@uni-hamburg.de.

More information on data protection in selection procedures.

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