Institute for Enterprise Systems (InES)

With its competencies and portfolio in research and teaching, the University of Mannheim offers ideal starting conditions for the expansion of a research institute for business information systems (Enterprise Systems). The InES is based on the so-called “Industry-on-Campus Model” and represents a cross-faculty central institution for the active promotion of the exchange between science and practice.

We Offer

Dozent in Abteilung Volkswirtschaftslehre

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For Scientists

A cooperation platform for Enterprise Systems research.

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For Companies

Science-based solutions tailored to your specific needs.

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For Students

Attractive carreer opportunities in science and practice.

News

Two Papers accepted for NeuRIPS 2025 Datasets and Benchmarks Track

We are happy to announce that the papers “TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs” by Julia Gastinger and others “A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data” by Andrej Zschalzev and others have been accepted ...

Credit: Joe Pohl

Drones Delivering Lab Samples Offer Much Potential for City Logistics

After three years, researchers of the Institute for Enterprise Systems (InES) of the University of Mannheim and six other project partners have successfully completed the “mobil-e-Hub” project. At the closing event, which took place in Heidelberg last week, they showed how a drone can automatically ...

New Project on Machine Learning for Supply Chain Optimization

The KISync research project aims to investigate how methods of artificial intelligence (AI) must be applied to solve the decision problems of different processes in the synchronize operational supply chain planning under the influence of uncertainties. Included is primarily intended to support ...

New Project on AI-based Management of Planning and Construction Documents

The digitization and optimization of active processes in the construction industry using methods of artificial intelligence is of strategic interest for those involved in construction. The aim of this project application is the development of an AI-based system for the semantic classification and ...

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