External Lecturer on a fee basis in Inventory Analytics f/m/d

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Job posting

External Lecturer on a fee basis in Inventory Analytics f/m/d

To strengthen our School of Arts Media and Information of the SRH University of Applied Sciences Heidelberg on the Hamburg campus, we are seeking a Lecturer on a fee basis to deliver the lectures in English at 13.04.2026.

For further information please feel free to contact:

Esam Sharaf - esam.sharaf (at) srh.de

Find out more about our company:

As one of the largest private universities in Germany, SRH University is the innovative companion for students from over 140 nations. We are part of the leading education and healthcare provider SRH, which has been helping people to lead a self-determined life for over 50 years. We teach with passion and competence and focus on the professional and personal development of our students. At our forward-looking campuses, we offer a wide variety of study programs and models, hand in hand with business and practice. With our innovative and award-winning CORE didactics, we accompany our students individually on their path. They learn hands-on in small groups and interactive, project-based units. We see ourselves as an international, diverse and interdisciplinary community. We are part of SRH - a leading provider of education and healthcare services with 17,000 employees. SRH operates private universities, educational centers, schools and hospitals.

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Area of responsibility:

Lecturer

Location:

Hamburg

Company:

SRH University

Type of employment:

Freelance

Career level:

Professionals

What you can look forward to:

University Environment | Dynamic and flexible teaching environment at a growing, international and future-oriented university
Teaching | Independent organization of teaching
Campus | Beautiful, easily accessible campus
Facilities | Modern classrooms and the latest technology

Your responsibilities:

Personality, with a university degree in Supply Chain Management, Data Science, or Computer Science with solid theoritical background and practical experience in:

Inventory Management & KPIs: Expertise in inventory classification (ABC, variability-based), system dynamics (demand, lead time, policies, cost trade-offs), and key performance metrics such as fill rate, turnover, and cycle time.
Data Handling & Feature Engineering: Experience working with ERP and warehouse data (SKUs, stock movements, forecasts), integrating multiple data sources, and performing data wrangling and feature engineering for inventory analytics.
Forecasting & Machine Learning: Proficiency in time-series forecasting (moving averages, Holt-Winters, ARIMA/SARIMA, Prophet) and machine learning methods (regression, decision trees, XGBoost) for demand forecasting, reorder prediction, and safety stock estimation.
Segmentation & Decision Support: Knowledge of clustering techniques (k-means, DBSCAN) for SKU segmentation and the ability to translate data insights into inventory policies and decision support.
Simulation & Optimization: Experience in Monte Carlo simulation, scenario analysis, and optimization techniques (linear and mixed-integer programming) for inventory planning under uncertainty and constraints.
Visualization, Tools & Teaching: Strong proficiency in Python (pandas, NumPy, scikit-learn, statsmodels, XGBoost) and experience designing dashboards, delivering applied teaching, and supervising data-driven student projects.

Your profile:

Willingness to actively shape learning processes according to the CORE principle
Very good English language skills,
Personality, with a university degree in Supply Chain Management, Data Science, or Computer Science with solid theoritical background and practical experience

First-hand perspectives on what makes the difference:

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Image 1: Frau Kathrin Hilbig Personalsachbearbeiterin SRH Karriere

Any questions?

I'm happy to help.

Kathrin Hilbig

Personalsachbearbeiterin

Ludwig Guttmann Str. 6

69123 Heidelberg

kathrin.hilbig@srh.de

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We are looking for the best. In this, we pay special attention to personality, talent, willingness to achieve and character.

We emphasize expressly that all people - regardless of gender, nationality, ethnic and social origin, religion/ideology, disability, age and sexual identity - are all equally welcome here. Applicants with disabilities who have equal professional and personal aptitude will be given priority and/or training.

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External Lecturer*in (f/m/d) in Inventory Analytics

External Lecturer*in (f/m/d) in Inventory Analytics