PhDFinder
Sweden – PhD in Energy and Environmental Engineering at Mälardalen University
PhDFinder, University City, Missouri, United States
Sweden – PhD in Energy and Environmental Engineering at Mälardalen University
University: Mälardalen University Country: Sweden Deadline: 2025-10-06 Fields: Mechanical Engineering, Thermal Engineering, Energy Systems, Fluid Dynamics, Environmental Engineering Are you passionate about advancing sustainable energy solutions and eager to develop cutting-edge skills in multiphase flow modeling, fluid dynamics, and artificial intelligence? Do you aspire to contribute to the future of energy and environmental engineering while collaborating with leading academic and industrial partners? Mälardalen University (MDU) is the youngest university in Sweden, located in the vibrant city of Västerås. MDU is recognized for its progressive and collaborative approach to research and education, with a strong commitment to shaping a sustainable future. The School of Business, Society and Engineering at MDU is a hub for interdisciplinary research and education, offering programs in engineering, political science, and economics. The school is particularly known for its focus on industrial economics, organizational studies, and future energy systems. Studying and conducting research in Sweden provides numerous benefits. The country is globally recognized for its high quality of life, commitment to sustainability, and strong investment in research and innovation. Research Topic and Significance
The PhD project focuses on the analysis and modeling of multiphase flows—a critical area in energy and environmental engineering. Developing a deeper understanding and advanced numerical models for multiphase flows is essential for improving efficiency, safety, and sustainability across multiple sectors. The significance of this research lies in its potential to revolutionize how industrial processes are designed and optimized, leading to enhanced energy efficiency, reduced environmental impact, and the development of innovative solutions to global challenges in energy and sustainability. Project Details
The selected PhD student will join a dynamic research team at Mälardalen University, specializing in multiphase flow analysis and modeling. The primary goal is to develop advanced, physics-based methods in fluid dynamics and heat transfer to study multiphase flow phenomena. A distinctive aspect of this project is the application of machine learning and computer vision to enhance data analysis, pattern recognition, and predictive modeling. The research will involve collaboration with external academic and industrial partners, offering valuable opportunities for practical application and knowledge transfer. Candidate Profile
Qualifications: – A Master’s degree (MSc) in mechanical engineering, thermal engineering, or a related field with a strong focus on fluid dynamics, energy systems, heat transfer processes, multiphase flows, or similar areas. – A deep understanding of the physics and dynamics of fluid and thermal systems. – Proficiency in programming and data analysis tools, such as Python and MATLAB (or equivalent). – Excellent proficiency in English, both spoken and written. Additional, highly valued qualifications include: – Experience with multiphase flows and advanced modeling methods. – Strong expertise in fluid mechanics, heat transfer, and thermodynamics, with both theoretical and practical experience. – Experience in machine learning and AI, especially deep learning frameworks like TensorFlow, and their application in fluid dynamics and heat transfer research. Application Process
The application for this PhD position must be completed online. Interested candidates should submit their applications by clicking the “Apply” button on the official advertisement page. Application deadline: 2025-10-06
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University: Mälardalen University Country: Sweden Deadline: 2025-10-06 Fields: Mechanical Engineering, Thermal Engineering, Energy Systems, Fluid Dynamics, Environmental Engineering Are you passionate about advancing sustainable energy solutions and eager to develop cutting-edge skills in multiphase flow modeling, fluid dynamics, and artificial intelligence? Do you aspire to contribute to the future of energy and environmental engineering while collaborating with leading academic and industrial partners? Mälardalen University (MDU) is the youngest university in Sweden, located in the vibrant city of Västerås. MDU is recognized for its progressive and collaborative approach to research and education, with a strong commitment to shaping a sustainable future. The School of Business, Society and Engineering at MDU is a hub for interdisciplinary research and education, offering programs in engineering, political science, and economics. The school is particularly known for its focus on industrial economics, organizational studies, and future energy systems. Studying and conducting research in Sweden provides numerous benefits. The country is globally recognized for its high quality of life, commitment to sustainability, and strong investment in research and innovation. Research Topic and Significance
The PhD project focuses on the analysis and modeling of multiphase flows—a critical area in energy and environmental engineering. Developing a deeper understanding and advanced numerical models for multiphase flows is essential for improving efficiency, safety, and sustainability across multiple sectors. The significance of this research lies in its potential to revolutionize how industrial processes are designed and optimized, leading to enhanced energy efficiency, reduced environmental impact, and the development of innovative solutions to global challenges in energy and sustainability. Project Details
The selected PhD student will join a dynamic research team at Mälardalen University, specializing in multiphase flow analysis and modeling. The primary goal is to develop advanced, physics-based methods in fluid dynamics and heat transfer to study multiphase flow phenomena. A distinctive aspect of this project is the application of machine learning and computer vision to enhance data analysis, pattern recognition, and predictive modeling. The research will involve collaboration with external academic and industrial partners, offering valuable opportunities for practical application and knowledge transfer. Candidate Profile
Qualifications: – A Master’s degree (MSc) in mechanical engineering, thermal engineering, or a related field with a strong focus on fluid dynamics, energy systems, heat transfer processes, multiphase flows, or similar areas. – A deep understanding of the physics and dynamics of fluid and thermal systems. – Proficiency in programming and data analysis tools, such as Python and MATLAB (or equivalent). – Excellent proficiency in English, both spoken and written. Additional, highly valued qualifications include: – Experience with multiphase flows and advanced modeling methods. – Strong expertise in fluid mechanics, heat transfer, and thermodynamics, with both theoretical and practical experience. – Experience in machine learning and AI, especially deep learning frameworks like TensorFlow, and their application in fluid dynamics and heat transfer research. Application Process
The application for this PhD position must be completed online. Interested candidates should submit their applications by clicking the “Apply” button on the official advertisement page. Application deadline: 2025-10-06
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