WE ARE HIRING:
Ph.D. in robot Learning by Demonstration (LbD) at the Hellenic Mediterranean University (Heraklion, Crete, Greece)
We accept applications for expression of interest for a PhD position in the rapidly growing field of Learning by Demonstration (LbD). The focus will be on developing:
• LbD methods for multi-agent robotic systems with constraints, such as multiple fingers or a fleet of robots,
• Skill generalization methods, based on sensorial information of the environment,
• LbD methods for encoding dynamic parameters or constraints of the system.
Location: Hellenic Mediterranean University (HMU), Heraklion, Crete, Greece
School of Engineering, Electrical and Computer Engineering
Lab: Control Systems and Robotics Laboratory (CSRL), Site: https://csrl.hmu.gr/
Heraklion is the largest city and the administrative capital of the island of Crete, Greece and the fourth largest city in Greece. It is a vibrant city, with a significant history and sights, such as the Palace of Knossos (one of the first civilizations), the Venetian Walls that encircle the Old Town etc. The city is located approximately at the center of the island, which makes it appropriate for travelling around the beautiful island of Crete.
Qualifications:
• Master's degree in Robotics, Electrical and Computer Engineering, Control Engineering, Aerospace, Computer Science, Mechatronics, Mechanical Engineering, or related fields.
• Background in mathematics (Linear algebra, Dif. Equations, Calculus, Dynamical systems etc)
• Experience in programming languages such as C++ (or Python) and Matlab.
• Excellent written and spoken English skills.
Knowledge in Robotics, ROS, Control systems, Machine learning, signal processing, differential geometry can further support the application.
Funding: The PhD student will be able to get a sufficient, based on the cost of living in Heraklion, funding.
How to Apply: Please send an email expressing your interest, including a CV, to the supervisor, assistant professor Dimitrios Papageorgiou:
with the subject line "PhD Application - <Name of Applicant>”.