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FR
Fraunhofer-Gesellschaft
3mo ago

Thesis - Data-Driven Indicators for Assessing Corporate Resilience in Sustainable Value Creation(m/w/x)

Stuttgart
Full-timeInternshipOn-site

Description

In this master's thesis role, you will explore resilience indicators and sustainability metrics, developing a model to assess corporate resilience. Your work will involve conducting literature reviews, performing data analysis, and presenting findings in a structured thesis.

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Requirements

  • •Field of study in automation technology, business education, business administration, electrical engineering, computer science, logistics, mechanical engineering, control engineering, technology management, industrial engineering, data sciences, sustainability management, or comparable
  • •Enrollment in a master’s program at a German institution, ideally in engineering, data sciences, sustainability management, or a related field
  • •Strong interest in sustainable production, value creation, and digitalization
  • •Motivation to work independently and systematically on complex, interdisciplinary topics
  • •Excellent analytical and critical-thinking skills
  • •Independent, reliable, and result-oriented working style
  • •Good English communication skills

Education

Currently in higher education

Tasks

  • •Conduct a literature review on resilience indicators and sustainability KPIs
  • •Identify relevant data sources and key metrics from case studies or existing frameworks
  • •Develop a conceptual model for resilience assessment
  • •Validate findings through expert interviews or data analysis
  • •Summarize and present results in a clear, structured thesis

Languages

English – Business Fluent

Benefits

Startup Environment

  • •Flexible research environment

Purpose-Driven Work

  • •Opportunity to contribute to applied research

Informal Culture

  • •Workplace culture valuing diversity

Career Advancement

  • •Possibility to publish results

Other Benefits

  • •Present in research forums
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