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Jurg Schiffmann

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2 days ago

PhD position in Aerodynamic Design of Small-Scale Turbomachinery EPFL in Switzerland

Degree Level

PhD

Field of study

Aerodynamics

Funding

Full funding for 3 years under the Horizon Europe MSCA Doctoral Network, including a competitive salary, mobility allowance, family allowance where applicable, full social security coverage, and paid leave.

Deadline

Nov 30, 2026

Country flag

Country

Switzerland

University

EPFL

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Keywords

Aerodynamics
Materials Science
Fluid Mechanics
Manufacturing Engineering
Aircraft Design
Finite Element Analysis

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About this position

This PhD project is part of the TurboImpact network, a Horizon Europe MSCA Doctoral Network focused on the aerodynamic design, optimisation, material selection, and manufacturing of small-scale turbomachinery. The doctoral researcher will work at STI IGM LAMD at EPFL in Neuchâtel within an international, collaborative consortium of 14 Doctoral Candidates and partner universities and companies.

The research topic sits at the intersection of turbomachinery aerodynamics, manufacturing-aware design, and experimental validation. The project examines how material properties, surface finish, and geometric tolerances influence aerodynamic performance, with the goal of identifying more effective aeromechanical designs that can exploit new materials and production processes. A key part of the work is the comparison of conventional and ceramic turbocompressor components made with novel manufacturing routes, linking design freedom to performance outcomes.

The student will carry out research in close collaboration with industry partners, contributing to experiment design, execution, analysis, and interpretation of results. The role also includes writing scientific articles, presenting at international conferences, and participating in the training and research activities of the network. The project offers access to a stimulating international research environment, state-of-the-art facilities, and supervision by recognised experts in the consortium.

The position is embedded in a wider European doctoral network that combines system and component design methods with an integrated manufacturing platform and multi-material joining techniques for applications such as heat pumps, fuel cells, organic Rankine cycles, and gas turbines.

Funding details

Full funding for 3 years under the Horizon Europe MSCA Doctoral Network, including a competitive salary, mobility allowance, family allowance where applicable, full social security coverage, and paid leave.

What's required

Applicants must comply with the MSCA Mobility Rule and must not have resided or carried out their main activity in Switzerland for more than 12 months during the 36 months immediately preceding recruitment. Candidates must be doctoral candidates and must not already hold a doctoral degree. A two-year master's degree in Mechanical Engineering, Manufacturing Engineering, Materials Science, Computer Science, Data Science, Software Engineering, or a similar degree with equivalent academic level is required. Strong background in fluid dynamics fundamentals, turbomachinery aerodynamics, aeromechanical design principles, and experience with CFD and FEA are expected. Knowledge of materials science, especially ceramics and conventional metals/alloys, manufacturing processes, surface engineering, geometric dimensioning and tolerancing, as well as turbomachinery testing, instrumentation, sensor selection, data acquisition, uncertainty analysis, and measurement validation is preferred.

How to apply

Submit the complete online application by the deadline using the Apply now link. Upload one PDF in English containing a motivation letter, CV, transcripts, BSc/MSc diplomas with grading scale, BSc and MSc theses, and the names of three referees. Short-listed candidates will later need to apply to a specific EPFL Doctoral Program.

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Professors

Professor at EPFL

University Name
Country flag

Switzerland

Research Interests

Structural Engineering

Aerodynamics

Materials Science

Aircraft Design

Multi-objective Optimization