Professorship in Data Science and Artificial Intelligence (m / f / d)

Your mission

(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

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.

Why us?

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.

About us

XU Exponential University is a dynamic, state-recognized University of Applied Sciences located in the Potsdam / Berlin metropolitan area. We do not just produce employees –

we create explorers .

Our concept combines academic rigor with a

practice-based education model : Learning through doing with real projects, real partners, and real impact. Our true differentiator is

applied, interactive AI-core learning . All our programs revolve around AI applications, covering fields from digital business to data, robotics, and enterprise IoT. We are dedicated to translating pedagogy into the AI world and educating the pioneers of the digital transformation.