
Research Scientist in Distributed Knowledge Processing
2 weeks ago
We are seeking a highly skilled and motivated researcher to contribute to our exciting project on distributed knowledge processing. As a researcher, you will work closely with our team to develop innovative solutions for processing distributed knowledge harvested from sensor networks.
About the Project
The project aims to advance key agendas in wireless sensor networks, focusing on optimal cooperation between sensors and agents as they share data and knowledge, and ultimately support autonomous decision-making. You will be working on developing statistical signal processing and machine learning methods to address fundamental questions about how this distributed knowledge can optimally be processed into decisions.
Your Role
We are looking for an exceptional researcher who has a strong academic track record in a discipline with foundations in probability, statistics, systems, and/or computation. You should have excellent skills in English communication, research aptitude, and a collaborative spirit. Your role will involve conducting research, analyzing data, and collaborating with our team to publish peer-reviewed research outputs.
What We Offer
You will receive funding of between CZK 10,000-20,000 per month for three years, commensurate with your qualifications. In addition, you will have access to international conferences to present your published and peer-reviewed research, and computing and material requirements will be met. You will also have the opportunity to register for a PhD degree in either the Charles University or the Czech Technical University under the supervision of Professor Quinn.
How to Apply
Preliminary enquiries should be directed to Professor Quinn. The formal application comprises a full CV, examples of peer-reviewed or examined research outputs, a list of three referees, and a statement of purpose. We look forward to hearing from you.
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