Job title:
PhD position: Dynamics of a robot swarm
Company:
Job description
Offer DescriptionFPI grant associated with project PID2023-146422NB-I00 “Dynamics of many particle systems: from passive grains to macroscopic active matter”. Funded by: Proyectos de Generación de Conocimiento 2023 (Spanish Goverment).
We are offering excellent working conditions in a highly stimulating research environment at the Granular Lab (Dpto. de Física y Mat. Apl., Facultad de Ciencias, Universidad de Navarra, Pamplona, Spain).
Duration: 4 years
Working hours are full time; gross salary is approximately 24.000 euros per year. The grant also covers the possibility of short stints abroad.Project summary: Dynamics of a robot swarm
Systems consisting of a large number of interacting self-propelled agents are known as active matter. They include live beings such as pedestrians or bacteria, vehicles, and artificial particles. A collection of robots that interact with each other is a smart way to study active matter, as they offer both flexibility and repeatability. We have an ensemble of small wheeled robots modified by us that carry a nanocomputer (Raspberry Pi), a video camera, and several sensors. They have been recently used to simulate traffic.
The goal now is to analyse the equivalent of an evacuation drill, meaning, to make the robot swarm go through a bottleneck. The candidate will design and execute experiments with this robot swarm, as well as numerical simulations to test concepts and check the universal validity of the results. Furthermore, data-driven machine learning models, such as artificial neural networks (ANNs), support vector machines (SVMs), and Bayesian networks (BNs), among others, will be employed to assist and expedite the research and discovery process.
The main challenge when dealing with robot swarms is to define the interaction among units. These can range from simple actions (such as just stopping and remaining idle) to smart operations, such as moving sideways or backwards after a contact has taken place, and even more complex exploratory behaviour. Deciding how to model a particular situation will need extensive testing. The ultimate goal of a robot swarm is to perform a collective task better than individuals alone would do on their own.Candidate profile:
– Required: master degree in physics, mathematics, engineering, or equivalent. Admision to the doctoral school.
– Research experience, fluency in English, and programming skills will be valuedFurther information requests:
e-mail to orApplications: send your C.V. and résumé with grades to or .
An online interview with candidates will be scheduled.
Application deadline: November 30th, 2024Where to apply WebsiteRequirementsAdditional InformationWork Location(s)Number of offers available 1 Company/Institute Universidad de Navarra Country Spain GeofieldContact WebsiteSTATUS: EXPIREDShare this page
Expected salary
€24000 per year
Location
España
Job date
Thu, 22 Aug 2024 03:42:45 GMT
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