Natural Language Processing jobs in Germany

(Ref: Algorithms & Models)

The Position at XU:

Our true differentiator is applied, interactive AI-core learning. We are seeking a mathematician or data scientist to lead our education in intelligence and algorithms. You will teach students how to generate knowledge from data and build responsible AI systems. At XU, you will not just teach theory; you will mentor students in real projects with real impact, covering fields from digital business to advanced robotics.

Key Responsibilities:

You will assume duties in teaching, research, and academic self-administration in accordance with § 42 and § 43 BbgHG.

• Teaching & Student Supervision: Teaching modules in the study program in classroom, blended, and online formats. This includes module responsibility, examination acceptance, and student supervision.

• Program Development: Active participation in the further development of study programs, quality assurance, and accreditation procedures. This involves the conception, creation, and adaptation of teaching and learning materials.

• Research & Transfer: Development of a distinct personal research profile and publication of results. You will initiate, expand, and maintain cooperation with partners in industry and research.

• Administration: Active participation in academic administration, committee work, and student recruitment events.

Teaching Responsibilities:

You will be responsible for teaching modules such as:

• Data Science Fundamentals
• Machine Learning & Deep Learning
• Advanced Artificial Intelligence
• Natural Language Processing (NLP)
• Computer Vision and Image Processing
• Big Data Technologies
• Ethical & Responsible AI

Your Profile & Research Focus:

While a broad understanding of the field is expected, we seek a candidate who can deepen at least one of the following core areas:

• Machine Learning & Deep Learning: Neural networks, foundation models, reinforcement learning.
• Applied AI: Computer Vision, Image Processing, or Natural Language Processing (NLP).
• Data Science: Statistical modeling, predictive analytics, and data mining.
• Trustworthy AI: Explainability (XAI), fairness, and AI ethics in practice.

Requirements (§ 43 BbgHG):

• Completed university degree and a PhD (magna cum laude or equivalent).
• Pedagogical aptitude for teaching in English.
• Minimum of 3 years professional experience, of which at least 2 years were spent outside the university sector.
• Relevant practical experience in data science, AI development, or algorithm design.
• Experience in acquiring third-party funding is considered an asset.

What We Offer:

• Start Date: Ideally Summer Semester 2026.
• A permanent employment contract (part-time min. 50% or full-time).
• A versatile, innovative, and international work environment in cooperation with renowned partner universities.
• Lean hierarchies in a dynamic, entrepreneurial university environment.
• Responsibility, creative freedom, and the opportunity for personal and professional development.

Join XU:

Help us shape the digital future. We offer a creative, interdisciplinary environment, the freedom to develop new curricula, and strong industry networks.

Apply Now:

Please address your application to our President, Filipe de Castro Soeiro, and submit it via email including your CV, publication list, and proof of professional practice.