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Robert Bosch Venture Capital

Venture capital funding deep tech startups

Doctoral Research – Intelligent Use and Processing of Technical Plastics Streams - Method Development and Validation Using End-of-Life Vehicle Parts

Process EngineeringPosted on Nov 10
Full-timeRenningen, GermanyNo salary listedIn-person

About the Job

Requirements

  • A completed university degree with very good results in materials science, plastics engineering, chemical engineering, mechanical engineering, data science, computer science, or a comparable field.
  • Substantial knowledge of materials science and data engineering.
  • Very good German and English, spoken and written.
  • Ability to work independently, analyze systematically, and work methodically.
  • Ability to present complex relationships and decisions under uncertainty in a structured and traceable way.

Responsibilities

  • Develop a scientifically grounded and transferable methodology for data-based decisions about using and combining technical plastics streams.
  • Identify and harmonize internal product, component, material, process, quantity, and quality data, along with external databases, literature, and supplier and partner information, in a traceable data model.
  • Generate virtual scenarios for separating, bundling, and mixing available material sources, and combining them with virgin material, accounting for differences between components, manufacturers, and batches as well as temporal and quantity fluctuations.
  • Develop data- and AI-supported models that assess material-stream and mixing scenarios for process stability, component quality, supply security, and uncertainty, and derive prioritized recommendations.
  • Determine decision-relevant data needs and assess whether statistical estimates, existing material and process models, rapid characterization, or targeted experiments provide relevant additional value.
  • Validate the methodology using technical plastic components from end-of-life vehicles and a cross-manufacturer data model of end-of-life vehicle components, and assess transferability to other end-of-life product, post-consumer, and post-industrial streams.
  • Work closely with internal subject-matter experts and external partners, and document, present, and publish results.

Desired Qualifications

  • Knowledge of machine learning, databases and data pipelines, uncertainty or robustness assessment, material characterization, compounding, or assessment of material and mixing scenarios.
  • Interest in the circular economy and data-based development of sustainable plastics solutions, including linking heterogeneous data sources to produce robust recommendations about source selection, bundling, mixing, virgin-material content, and quality assurance.
  • Enjoyment of analytical and experimental research activities.

About the Company

Robert Bosch Venture Capital

Venture capital funding deep tech startups

RBVC (Robert Bosch Venture Capital) is a global venture capital firm that backs early-stage deep tech startups in areas like energy efficiency, medical devices, and virtual/augmented reality. It supports companies with funding and access to Bosch’s network and resources to help them scale and bring innovations to market. Unlike traditional VCs, RBVC may purchase solutions for a proof-of-concept while allowing startups to keep their intellectual property, which speeds up development and lowers upfront costs. The firm earns money through equity investments and the eventual success of its portfolio. RBVC’s goal is to accelerate technological advances across multiple industries by connecting startups with Bosch’s ecosystem, customers (from medical centers to data centers), and global reach.

Company size
201-500
Company stage
Not listed
Total funding
$3.8B
Headquarters
Frankfurt, Germany
Founded
2007

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