Opening for two PhD positions
June 21th, 2024
Two PhD positions are available within the Dependable Control and Decision (DECODE) group of EPFL (Switzerland). The student will work in the collaborative framework of the National Centre of Competence in Research “NCCR Automation“, which supports research in automatic control across Switzerland.
Each PhD student will contribute to one of the following projects:
– “Nonlinear data-driven control: robust closed-loop stability and performance guarantees”
– “A Bayesian framework for optimal control”, jointly supervised by Giancarlo Ferrari-Trecate and Andreas Krause (ETHZ)
Qualifications:
– a Master’s degree from a recognized University
– a strong background in Systems and Control and/or Machine Learning
– creativity and motivation
– excellent English language skills
Application procedure:
Prospective PhD students should email their application to Prof. Ferrari-Trecate, including a CV, a motivation letter, Bachelor’s and Master’s Transcripts, and any available publications.
In parallel, they must apply to the doctoral program on Electrical Engineering (EDEE) or on Robotics, Control, and Intelligent Systems (EDRS) before starting their PhD at EPFL, see http://phd.epfl.ch/prospective. Applications can be submitted even before obtaining the Master’s degree according to the following deadlines:
-
April 15th and December 15th
Fill in the form provided by the doctoral program and indicate your intention to apply to Prof. Giancarlo Ferrari-Trecate.
Starting date:
Flexible, but not earlier than August 1st, 2024. The call will remain open until an ideal candidate will be found.
Opening for a PhD position
June 2nd, 2024
The Dependable Control and Decision (DECODE) group of EPFL (Switzerland) welcomes applications for a PhD position in distributed control for autonomous vehicles interacting with humans.
The project aims to develop a platform to demonstrate to the general public how the use of advanced control algorithms can ensure safety and reliability when semi-autonomous vehicles operate in a shared area. The research activities will include the design of the mechanical and electrical parts of the system, the development of distributed controllers, and the creation of demo runs for educational purposes.
The project aims to develop a platform to demonstrate to the general public how the use of advanced control algorithms can ensure safety and reliability when semi-autonomous vehicles operate in a shared area. The research activities will include the design of the mechanical and electrical parts of the system, the development of distributed controllers, and the creation of demo runs for educational purposes.
Candidates with a solid methodological background and a passion for research on applied control are encouraged to apply. The students will work in the collaborative framework of the National Centre of Competence in Research “NCCR Automation“, which supports research in automatic control across Switzerland.
Requirements:
Suitable candidates should have a Master’s degree in a field related to Systems and Control, Mechanical Engineering, or Robotics. Previous experience in mechanical design, applied control, or building robotic systems is an asset.
Application procedure:
Prospective PhD students should email their application to Prof. Ferrari-Trecate, including a CV, a motivation letter, Bachelor and Master Transcripts, and any available publications.
In parallel must apply to the doctoral program on Electrical Engineering (EDEE) or on Robotics, Control, and Intelligent Systems (EDRS) before starting their PhD at EPFL, see http://phd.epfl.ch/prospective. Applications can be submitted even before obtaining the Master’s degree according to the following deadlines:
-
April 15th and December 15th
Fill in the form provided by the doctoral program and indicate your intention to apply to Prof. Giancarlo Ferrari-Trecate.
Starting date: flexible, but not earlier than August 1st, 2024. The call will remain open until an ideal candidate will be found.