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

Lecturer on a fee basis in Demand Forecasting 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 june 8th 2026. 

For further information please feel free to contact:
Esam Sharaf -  esam.sharaf (at) srh.de
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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:
  • 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,
  • 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:

 
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. 

Apply now
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