Research Engineer - Digital & Circular Technologies

Role Overview: We seek a multidisciplinary professional Research Engineer to develop and integrate cutting-edge technologies that enable transparent, circular, and data-driven sustainability solutions. The role will support for developing innovative solutions leveraging Artificial intelligence & Machine learning, blockchain for traceability, dataspaces for secure data sharing, Digital Product Passports (DPP), and Life Cycle Assessment (LCA) to advance circular economy goals.

Key areas of technology:

• Secure, decentralized data infrastructures using blockchain, Dataspace or similar architectures.
• Digital Product Passports (DPPs) that support traceability, sustainability, and regulatory compliance.
• Life Cycle Assessment (LCA), using Environmental Footprint (EF) method and planetary boundaries framework.
• Artificial Intelligence and Machine Learning knowledge & techniques.

Key Responsibilities:

• Research Support: Conducting literature reviews and synthesizing existing research
• Managing, organizing, analyzing and interpreting data for analysis, assisting with statistical analysis, producing reports and presentations summarizing findings.
• Document technical developments, publish results, and contribute to project deliverables and scientific publications.
• Learning new technologies and contributing for developing innovative solutions.
• Communicating findings and progress to researchers and other stakeholders.
• Collaborating with researchers and other professionals.

Age At least 18 years Skills and Qualifications:Technical Skills: Proficiency in data analysis, statistical methods, and research techniques.Research Skills: Experience in conducting experiments, following research protocols, and collecting data.Communication Skills: Excellent written and verbal communication skills, including the ability to present data clearly and concisely.Analytical Skills: Ability to analyze data, identify patterns, and draw conclusions.Organizational Skills: Ability to manage multiple tasks, prioritize effectively, and maintain accurate records.Required Qualifications:Professional & Innovation-Oriented, track record of working in interdisciplinary or industry-oriented environments.Academic and/or Professional (preferred) experience in the field of blockchain technologies, federated data spaces, Life Cycle Assessment (LCA) tools and standards, Machine learning/AI tools for predictive modeling.Programming proficiency in Python (preferred), Java, or similar languages.Familiarity with data modeling, APIs, and semantic web technologies.Strong documentation and collaboration skills.

https://bdjobs.com/h/details/1490889

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