Masters thesis: Optimizing Secondary Metal and Mineral Recovery from Waste Streams: A Data-Driven Approach

Are you passionate about contributing to a circular economy while deepening your research expertise? At Ragn-Sells, we offer a master’s thesis project where you will combine academic exploration with practical application to identify and optimise the recovery of metals and minerals from waste streams using innovative, data-driven methods.

Ragn-Sells is a leader in sustainable waste management, transforming waste into valuable resources. As Europe faces increasing environmental challenges and a growing demand for critical raw materials, this project aims to map and optimise recovery from waste streams through innovative, data-driven approaches.

Research question

How can data-driven methods help identify high-potential mineral waste streams and improve the recovery of metals and minerals?

Objectives

  • Literature Review: Analyse existing data on secondary metal and mineral flows in Sweden and Northern Europe to identify critical raw materials (CRMs) for the study.
  • Data Collection:
    • Internal data from Ragn-Sells and lab analyses.
    • External sources, such as the Urban Mine Platform and relevant databases.
    • Primary research with industry stakeholders to address data gaps.
  • Framework Development: Develop a proof-of-concept framework for integrating data sources, identifying CRM recovery opportunities, and addressing barriers.
  • Technology Testing: Apply the framework to evaluate specific waste streams for recovery technologies, e.g., titanium extraction or copper separation from gold.
  • Discussion: Explore the broader implications of the framework for fields such as industrial ecology, environmental policy, and green technology.

Qualifications

Required: Background in chemistry, technology, or environmental science with excellent research and academic writing skills.

Preferred: Experience with database management and analysis and an interest in investigative research and sustainability.

Estimated Duration: 5 months
Number of Students: 1–2

Application and contact

Application Deadline: 31 December 2024 (decisions may be made earlier).
Start Date: 5 January 2024.

Contact Person: Daria Rodionova, +46 107 23 25 08, daria.rodionova@ragnsells.com 

Read the full thesis description