Lecturer on a fee basis in Demand Forecasting f/m/d

Overview

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 June 8, 2026.

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

Responsibilities

Your responsibilities:

• Personality, with a university degree in Supply Chain Management, Data Science, or Computer Science with solid theoretical background and practical experience in:
• Supply Chain Fundamentals: Teaching basic concepts and evolution, supply chain drivers and metrics, and objectives (efficiency, cost reduction, speed, customer satisfaction).
• Analytics in Supply Chains: Explaining the importance of data-driven decision making and the role of descriptive, predictive, and prescriptive analytics.
• Predictive Analytics Methods: Applying demand forecasting techniques such as exponential smoothing, moving averages, ARIMA/SARIMA, regression analysis (linear, logistic, dynamic), and Monte Carlo simulation.
• Performance Measurement: Using supply chain KPIs including forecast accuracy, stockouts/overstock levels, and on-time delivery rates.
• Risk Management Analytics: Applying sentiment analysis, scenario analysis, and simulation methods (e.g., Monte Carlo) for risk identification and mitigation.
• Optimization Techniques: Implementing linear programming, integer programming, and genetic algorithms for supply chain decision-making.
• Transportation Optimization: Explaining network/graph representations, shortest path problems, route optimization, vehicle routing problems, and using Dijkstra’s and genetic algorithms with sensitivity analysis.
• Geospatial & ML Applications: Leveraging geospatial analytics and machine learning models for transportation and logistics optimization.
• Product Lifecycle Management: Covering stages from introduction and growth to maturity and decline, and their implications for supply chains.
• Applied Project Supervision: Guiding students through a final project involving real-world datasets, problem scoping, model development, and evaluation.

Your Profile

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

First-hand Perspectives On What Makes The Difference

Any questions? I’m happy to help.

Kathrin Hilbig
Personalsachbearbeiterin
Ludwig Guttmann Str. 6
69123 Heidelberg

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.

A Company With History And Values

SRH is a foundation-owned company offering services in education and healthcare. With more than 17,000 employees, SRH supports over 1.2 million people each year on their individual life paths. Since its founding in 1966, SRH has been committed to advancing the education and healthcare sectors. The company reinvests its profits into the future markets of education and healthcare. SRH is among the innovation leaders in these fields and actively shapes societal debates – for a more humane and sustainable society.

For further information please contact Esam Sharaf at

Note: This description contains information about the role and the organization. All content is kept intact from the original description.