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Nlp jobs in Germany

Research Associate for the Project “Which Public Sphere System for Democracy- – PSS4DEMOCRACY” [...]

Universität Hamburg

Hamburg
On-site
EUR 40,000 - 60,000
Today
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Senior GenAI Solution Architect (alle Geschlechter)

statworx

Frankfurt
Hybrid
EUR 70,000 - 90,000
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Managing Consultant Generative AI & NLP (alle Geschlechter)

statworx

Frankfurt
Hybrid
EUR 85,000 - 110,000
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Senior AI Engineer

Crane Venture Partners

Berlin
Hybrid
EUR 80,000 - 120,000
7 days ago
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Senior Python Engineer (m/f/d)

Redcare Pharmacy

Berlin
Hybrid
EUR 60,000 - 80,000
Today
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AWS AI Engineer (m/w/d)

Devoteam A Cloud Germany

Frankfurt
On-site
EUR 70,000 - 95,000
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Studentische Hilfskraft im Bereich LLM‑basierte Wissensdatenbank (m/w/d)

Fraunhofer-Gesellschaft

Aachen
Hybrid
EUR 20,000 - 40,000
Yesterday
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Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift

München
Remote
EUR 40,000 - 60,000
2 days ago
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Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift

Hamburg
Remote
EUR 40,000 - 60,000
2 days ago
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Principal Generative AI Consultant (m/w/d) - Schweiz

Alexander Thamm GmbH

Germany
Hybrid
EUR 60,000 - 80,000
5 days ago
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Quereinsteiger willkommen: IT-Salesmanager & CRM Spezialist (IHK) (m/w/d)

F - Education GmbH

Rüsselsheim am Main
Remote
EUR 20,000 - 40,000
Today
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Starte durch als IT-Salesmanager & CRM Manager (m/w/d) - Quereinsteiger gesucht!

F - Education GmbH

Worms
Remote
EUR 30,000 - 40,000
Today
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Ohne Job- Dein neuer Weg als IT-Salesmanager & CRM Experte (IHK) (m/w/d) - Quereinsteiger willkommen

F - Education GmbH

Hildesheim
Remote
EUR 40,000 - 60,000
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Fullstack Developer (m/w/d)

Thieme Compliance

Erlangen
Hybrid
EUR 55,000 - 75,000
Today
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Quereinsteiger willkommen: IT-Salesmanager & CRM Spezialist (IHK) (m/w/d)

F - Education GmbH

Dormagen
Remote
EUR 20,000 - 40,000
Today
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Deine Chance: Werde IT-Vertriebsmanager & CRM Spezialist (m/w/d) – Auch ohne Berufserfahrung!

F - Education GmbH

Erlangen
Remote
EUR 40,000 - 60,000
Today
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DATA SCIENTIST MIT SCHWERPUNKT KI-MODELLE UND BACKEND-INTEGRATION

Leadvise Reply

München
On-site
EUR 55,000 - 75,000
Today
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Senior Microsoft Azure AI/ML Architect (m/w/d)

Devoteam M Cloud Germany

Frankfurt
Hybrid
EUR 80,000 - 110,000
Today
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Master Student AI Powered Compliance Assistant with RAG Application

Airbus Group - Airbus Defence & Space

Immenstaad am Bodensee
On-site
EUR 20,000 - 40,000
Today
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Consultant - Risk & Resilience

McKinsey & Company

München
On-site
EUR 60,000 - 80,000
Today
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Customer Success und Projekt Manager

Enterprise Bot

Berlin
On-site
EUR 60,000 - 80,000
Today
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Ohne Job- Dein neuer Weg als IT-Salesmanager & CRM Experte (IHK) (m/w/d) - Quereinsteiger willkommen

F - Education GmbH

Salzgitter
Remote
EUR 40,000 - 60,000
Today
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Consultant - Risk & Resilience

McKinsey & Company

Hamburg
On-site
EUR 60,000 - 80,000
Today
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Quereinsteiger willkommen: IT-Salesmanager & CRM Spezialist (IHK) (m/w/d)

F - Education GmbH

Garbsen
Remote
EUR 20,000 - 40,000
Today
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Innovation Lead – KI & Automatisierung im Kundenservice (m/w/d)

Rhenus Office Systems GmbH

Plauen
Hybrid
EUR 70,000 - 90,000
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Research Associate for the Project “Which Public Sphere System for Democracy- – PSS4DEMOCRACY” [...]
Universität Hamburg
Hamburg
On-site
EUR 40.000 - 60.000
Full time
Today
Be an early applicant

Job summary

A prestigious German university is seeking a Research Associate for a postdoctoral role focused on developing algorithmic systems for journalism. Responsibilities include creating NLP-based metrics for news content, designing recommender systems, and collaborating in an interdisciplinary team. Required qualifications include a PhD in Computer Science and strong expertise in machine learning. The position offers reliable remuneration, flexible working hours, and a stimulating research environment in Hamburg.

Benefits

Reliable remuneration
Flexible working hours
30 days of vacation
Health management programs
Continuing education opportunities

Qualifications

  • Completed PhD in Computer Science, Computational Social Science, or closely related field.
  • Strong experience with recommender systems and algorithmic ranking.
  • Solid expertise in Python with relevant ML/NLP libraries.

Responsibilities

  • Develop and validate content-based metrics in political news.
  • Create and optimize news recommender systems.
  • Collaborate on project coordination with an interdisciplinary team.

Skills

Recommender systems
Machine learning
Natural Language Processing (NLP)
Computational expertise
Large-scale data handling
English proficiency

Education

PhD in Computer Science or related field

Tools

Python
ML/NLP libraries
Job description
Research Associate for the Project “Which Public Sphere System for Democracy? – PSS4DEMOCRACY” (Postdoc) § 28 Subsection 3 HmbHG
Institution

Faculty of Business, Economics and Social Sciences, Department of Social Sciences, Journalism and Communication Studies, Digital Journalism

Salary level
Start date

01.05.2026 pending approval of external funding, fixed until 30.04.2029 (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).

Application deadline

05.02.2026

Scope of work

full-time position suitable for part-time

Your responsibilities

Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications.

This project introduces a fundamentally new way of studying the public sphere by designing and testing models of algorithmic news supply that translate normative democratic ideals into experimentally observable news environments. More information on the project is available at:

As Postdoctoral Researcher, you are responsible for the computational core of the project: translating public sphere theory into operational algorithmic news recommender systems as follows:

NLP-based News Content Metrics

  • implement and refine Natural Language Processing (NLP) methods to operationalize public sphere concepts in political news
  • develop and validate content-based metrics (e.g. party visibility, viewpoint diversity, emotionalization intensity) using multilingual news corpora
  • integrate entity linking, stance detection, sentiment/emotion analysis, and topic modeling into a framework
  • collaborate with PhD and other researchers to validate automated metrics against manual content analysis

News Recommender System (NRS) Development

  • develop multi-objective ranking and scoring mechanisms that combine NLP-based metrics with user metrics
  • implement and optimize Pareto-based and reinforcement learning approaches (e.g. Deep Pareto Reinforcement Learning) to balance competing public-sphere objectives
  • build and maintain the NRS pipeline that produces distinct user news feeds for subsequent testing
  • evaluate recommender performance using standard metrics
  • present results at international workshops, conferences, and lead as well as contribute to publications in academic journals

Collaboration & Project Coordination

  • work closely with an interdisciplinary team
  • support and take over responsibility in project coordination
Your profile

A university degree in a relevant field, plus doctorate.

You are a postdoctoral researcher with strong computational expertise and an interest in normative, diversity-aware algorithmic systems.

Required Qualifications
  • completed PhD in Computer Science, Computational Social Science, Information Systems, or a closely related field
  • strong experience with recommender systems, machine learning, or algorithmic ranking
  • solid expertise in Python and relevant ML/NLP libraries
  • experience working with large-scale textual data and multilingual corpora
  • proven ability to design reproducible computational pipelines
  • excellent command of English (written and spoken)
Desirable
  • experience with NLP applied to news or political text
  • familiarity with multi-objective optimization, fairness-aware algorithms, or reinforcement learning
  • interest in public sphere theory, journalism, or democratic implications of AI systems
  • experience working in interdisciplinary research teams
  • command of German (written and spoken)
  • Polish or Norwegian language skills are a plus
We offer
  • 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
Additional benefits
  • a key role in a flagship ERC Consolidator Grant at the intersection of AI, journalism, and democracy
  • structured collaboration with experts of University of Hamburg Hub of Computing and Data Science (HCDS)
  • intellectual freedom to develop theory-informed algorithmic systems
  • access to excellent computational infrastructurestrong support for high-impact publications, open science, and international visibility
  • a stimulating interdisciplinary research environment

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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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