shervin bagheri
Top university
2 months ago
PhD Position in Fluid Mechanics, Biofilm Morphology, and Machine Learning at KTH Royal Institute of Technology KTH Royal Institute of Technology in Sweden
Degree Level
PhD
Field of study
Mechanical Engineering
Funding
No explicit funding details are provided in the post. Typically, PhD positions at KTH are fully funded, but applicants should consult the official announcement for precise information.
Deadline
Expired
Country
Sweden
University
KTH Royal Institute of Technology

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About this position
The Fluid and Surface Group at KTH Royal Institute of Technology, led by Professor Shervin Bagheri, is inviting applications for a PhD position focused on uncovering the fundamental mechanisms that govern biofilm morphology and growth in laminar shear flows. The research will utilize a unique experimental flow platform and integrate continuum modeling of complex fluids with machine learning techniques. This interdisciplinary project sits at the intersection of fluid mechanics, surface science, and computational modeling, offering an exciting opportunity for candidates interested in both experimental and theoretical approaches.
The group is part of KTH, one of Europe's leading technical universities, located in Sweden. The successful candidate will join a vibrant research environment and work closely with experts in fluid mechanics and related fields. The project is ideal for students with a strong background in physics, mechanical engineering, or related disciplines, and who are eager to develop skills in experimental methods, modeling, and data-driven analysis.
Applicants should hold a relevant master's degree and demonstrate proficiency in English. Experience with experimental setups, continuum modeling, or machine learning is highly desirable. The position is expected to be fully funded, but candidates should refer to the official announcement for detailed funding information and application requirements.
For more information and to apply, visit the official announcement linked in the post. The application process is managed through the KTH recruitment portal. Interested candidates are encouraged to prepare their application materials and submit them as instructed in the official call.
Funding details
No explicit funding details are provided in the post. Typically, PhD positions at KTH are fully funded, but applicants should consult the official announcement for precise information.
What's required
Applicants should have a strong background in fluid mechanics, physics, mechanical engineering, or a related field. Experience with experimental methods, continuum modeling, or machine learning is highly desirable. A relevant master's degree and proficiency in English are required.
How to apply
Visit the provided announcement link for full details and application instructions. Prepare your application materials as specified in the official call. Submit your application through the KTH recruitment portal.
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