Are you a Master’s graduate looking for fully funded PhD opportunities? Explore the range of funded PhD programs available at the EPFL – Swiss Federal Technology Institute of Lausanne, Switzerland. Apply online now and kickstart your doctoral journey!
1. Fully Funded PhD Position in human-centered AI for LLM alignment in the context of news (MSCA-DN)
Summary of PhD Program:
The AlignAI Doctoral Network aims to train doctoral candidates in the interdisciplinary Large Language Model (LLM) research field. It focuses on aligning these models with human values to ensure their development and deployment are ethically sound and socially beneficial. By integrating expertise from social sciences, humanities, and technical disciplines, the project addresses critical issues such as explainability and fairness, ensuring LLMs contribute positively to education, mental health, and news consumption.
Application Deadline: Open Until Filled
2. Fully Funded PhD Position in RF/microwave sensors
Summary of PhD Program:
We are offering two full-time (100%) PhD student positions at the Ecole Polytechnique Federale de Lausanne (EPFL) in Lausanne, Switzerland. Our group is focused on the design, fabrication, and characterization of RF/microwave sensors and methods, in particular for spectroscopy, imaging, and magnetometry using nuclear magnetic resonance (NMR) and electron spin resonance (ESR) methods. You will be working on a Swiss National Science Foundation (SNSF) funded project whose goal is to study, design, characterize, and apply innovative RF/microwave sensors for dynamic nuclear polarization (DNP) enhanced NMR spectroscopy and imaging at the nanoliter and subnanoliter volume scale.
Application Deadline: Open Until Filled
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3. Fully Funded PhD Position in electronics cooling
Summary of PhD Program:
A Ph.D. position is available in Prof. Zhengmao Lu’s Energy Transport Advances Laboratory (ETA-LAB) at EPFL, Switzerland, focusing on electronics cooling. At ETA-LAB (etalab.epfl.ch), we strive to advance understanding and develop innovative solutions in thermal management, targeting high-performance cooling methods for electronic devices. This position offers an exciting opportunity to contribute to impactful research aimed at enhancing the efficiency and reliability of electronics cooling systems.
Application Deadline: Open Until Filled
4. Fully Funded PhD Position in Physics: Experimental studies of Classical and Quantum Spin Liquids
Summary of PhD Program:
At the Laboratory for Quantum Magnetism (LQM) we perform fundamental research in magnetism and correlated electron materials. Our core activities span from synthesis of novel materials over in-house experimental techniques in combination with low temperature, high pressures and high magnetic fields, neutron and X-ray scattering to theory and modeling. The LQM is part of the École Polytechnique Fédérale de Lausanne (EPFL), a world-renowned research and education center, offering an ideal academic environment as well as an excellent connection to industry.
Application Deadline: Open Until Filled
5. Fully Funded PhD Position in Geomechanics
Summary of PhD Program:
The objective of this project is to develop a novel methodology through data-driven Machine Learning (ML) approaches for improving successful upscaling of subsurface engineering. A unique dataset from a metre-scale demonstrator of GCS in EPFL will enable fine training of the ML algorithms and the results will be compared to more conventional constitutive modeling approaches. Implementation of physical laws and multi-physics constrains may be considered for evaluating their impact on the accuracy of the results and computational cost.
Application Deadline: Open Until Filled
6. Fully Funded PhD Position in Electrical engineering or Robotics
Summary of PhD Program:
The DECODE (Dependable Control and Decision) group focuses on complex control systems, where coupling between subsystems, local sources of uncertainty, and structural changes can undermine reliability and generate dangerous behaviors. By leveraging tools from control theory, optimization, and machine learning, we contribute to the development of next-generation systems that are dependable, more autonomous and self adapt to changes in the internal dynamics and the surrounding environment.
Application Deadline: Open Until Filled
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7. Fully Funded PhD Position in Operations Research and Data Science
Summary of PhD Program:
The Risk Analytics and Optimization (RAO) laboratory at the Ecole polytechnique fédérale de Lausanne (EPFL) led by Prof. Daniel Kuhn invites applications for a PhD position in the area of operations research and data science. This role entails developing foundational theories, innovative models, and efficient, easily implementable algorithms with guaranteed performance for data-driven optimization with applications in operations research and data science. As part of a collaborative project with a prominent retail company, you will have access to extensive real-world data. The primary focus of this position is to produce high-impact, cutting-edge research.
Application Deadline: Open Until Filled
8. Fully Funded PhD Position in Experimental study of vortex interactions with application to hydropower
Summary of PhD Program:
Our lab specialises in the experimental measurements, analysis, and modelling of unsteady vortex-dominated flow phenomena, with past applications in bio-inspired propulsion, wind turbine rotor blade aerodynamics, and gust interactions. Our research focuses on unfolding the origin and development of unsteady flow separation and vortex formation and we have built a reputation for carefully designed and precisely controlled experiments, high quality temporally and spatially resolved field experiments using particle image velocimetry combined with synchronised measurements of the technically relevant quantities, such as aerodynamic forces or power output, exploratory data analyses to bridge the gap between our observations and understanding of the development and interaction of vortices, and the technically relevant quantities.
Application Deadline: Open Until Filled
