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Data-Driven Waste Management Specialist

1 week ago

Västerås, Västmanland, Sweden Mälardalen University Full time
About the Job Description

We are seeking a highly motivated PhD student to join our research team at Mälardalen University. As a PhD student, you will be working on developing innovative solutions for solid waste processing using AI technologies.

The job description is outlined below:

Job Description

This is a full-time employment as a doctoral student attached to third-cycle studies, corresponding to four years. The subject of Energy and Environmental Engineering is built up and developed by the research in the research specialisation of Future Energy.

The project focuses on innovating solid waste processing through AI (iWASTE) supported by AI@MDU initiative framework. The objective of this project is to develop new solutions for solid waste classification and utilization based on advanced AI technologies, such as regenerative AI, image processing, and reinforcement learning.

The PhD student is expected to take initiatives, develop own ideas, and work independently when needed, as well as take responsibility for the work. Furthermore, the project interacts closely with other research projects and industrial partners. Thus, the applicant needs to have high collaborative skills.

The PhD student needs to be able to disseminate and communicate scientific results and knowledge orally as well as in written form within existing and new networks. This includes academia, industry, and society at large. The research results will be presented at project meetings, conferences, and in peer-reviewed scientific journals.

Assessment Criteria
  • Prior to employment, consideration must be given to the ability to assimilate third-cycle courses and study programmes at a higher education
  • The applicant should have documented knowledge in energy systems and machine learning technologies
  • The position requires motivation for research, good oral and written communication, knowledge in English, and a will to work in a multidisciplinary context and in collaboration with external partners