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PhD Student Sales Germany (f / m/d) | PhD students

Hannover, Polska
Ogłoszenie zewnętrzne
Volkswagen Group

Volkswagen Group

Partner
31d
Wynagrodzenie do ustalenia
Produkcja i Magazyn
Pełny etat
Praca stacjonarna
Company
  • Volkswagen AG

Contract
  • Fixed-term

Department
  • Sales

Shift
  • Full-time

Experience
  • PhD students

Wymagania
  • Good to very good university degree qualifying for doctoral studies in Business Administration or a comparable disclipines

  • Advanced proficiency in MS Office

  • German language level C1

  • Strong understanding of business and financial principles

  • Experience working with AI and business analytics tools (e.g., Power BI)

  • Enthusiasm for academic research as well as strong teamwork skills

Zakres obowiązków
  • Welcome to Sales Planning Germany – the department where we develop and successfully implement Volkswagen Commercial Vehicles’ sales strategies for the German market. As a doctoral candidate, you will contribute to researching and advancing AI‑supported methods to optimize our sales planning and sales promotion activities. You will conduct independent research, build expertise through collaboration with academic supervisors and subject‑matter experts, and connect theoretical knowledge with practical questions. Along the way, you will gain deep insights into the operational and strategic sales processes of a dynamic automotive environment. Your scientific contributions will not only actively shape our future, but also support the continued advancement of the research community. Become part of our team – we look forward to receiving your application!

Zakres obowiązków
  • Developing AI models to improve the accuracy of volume forecasts by applying machine learning and incorporating market trends

  • Optimizing the synchronization of production and volume planning: leveraging AI to align production volumes, inventory levels, and supply chains so that production and volume are best coordinated, minimizing production shortfalls, pool allocations, and insufficient/excess stock coverage

  • Synchronizing sales actions and marketing campaigns: analyzing customer and market data with AI to derive optimal pricing strategies and target‑group‑specific marketing campaigns

  • Simulating various planning scenarios: AI‑supported simulation of sales and market developments to support strategic decision‑making

  • Taking on tasks and projects related to your dissertation topic

The following documents must be submitted with the application
  • Curriculum Vitae (CV)

  • Current transcript of records

  • Work permit for Non-EU citizens

Opis

Welcome to Sales Planning Germany – the department where we develop and successfully implement Volkswagen Commercial Vehicles’ sales strategies for the German market. As a doctoral candidate, you will contribute to researching and advancing AI‑supported methods to optimize our sales planning and sales promotion activities. You will conduct independent research, build expertise through collaboration with academic supervisors and subject‑matter experts, and connect theoretical knowledge with practical questions. Along the way, you will gain deep insights into the operational and strategic sales processes of a dynamic automotive environment. Your scientific contributions will not only actively shape our future, but also support the continued advancement of the research community. Become part of our team – we look forward to receiving your application! The final doctoral topic is defined together with the professor. The prerequisite for the cooperation is the confirmation of supervision as well as a confirmed delimitation of topics by the professor of a university or research institution entitled to confer a doctorate. Dissertation, Data Integration, Forecast Modeling, Sales Analytics, Market Intelligence What we offer Contact person for this posting: Tanja Oberbeck Welcome to Sales Planning Germany – the department where we develop and successfully implement Volkswagen Commercial Vehicles’ sales strategies for the German market. As a doctoral candidate, you will contribute to researching and advancing AI‑supported methods to optimize our sales planning and sales promotion activities. You will conduct independent research, build expertise through collaboration with academic supervisors and subject‑matter experts, and connect theoretical knowledge with practical questions. Along the way, you will gain deep insights into the operational and strategic sales processes of a dynamic automotive environment. Your scientific contributions will not only actively shape our future, but also support the continued advancement of the research community. Become part of our team – we look forward to receiving your application! Developing AI models to improve the accuracy of volume forecasts by applying machine learning and incorporating market trends Optimizing the synchronization of production and volume planning: leveraging AI to align production volumes, inventory levels, and supply chains so that production and volume are best coordinated, minimizing production shortfalls, pool allocations, and insufficient/excess stock coverage Synchronizing sales actions and marketing campaigns: analyzing customer and market data with AI to derive optimal pricing strategies and target‑group‑specific marketing campaigns Simulating various planning scenarios: AI‑supported simulation of sales and market developments to support strategic decision‑making Taking on tasks and projects related to your dissertation topic Good to very good university degree qualifying for doctoral studies in Business Administration or a comparable disclipines Advanced proficiency in MS Office German language level C1 Strong understanding of business and financial principles Experience working with AI and business analytics tools (e.g., Power BI) Enthusiasm for academic research as well as strong teamwork skills Curriculum Vitae (CV) Current transcript of records Work permit for Non-EU citizens Dissertation, Data Integration, Forecast Modeling, Sales Analytics, Market Intelligence Sales PhD students Full-time

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