Email: oozkasap@ku.edu.tr
Postal Code: 34450
Street: Rumelifeneri Yolu, Sariyer
Description
We invite Computer Science and Engineering researchers interested in developing an EU-funded Marie Sklodowska Curie Action Postdoctoral Fellowship (MSCA-PF-2026) Project proposal to conduct research at the Distributed Systems and Reliable Networks Research Lab, Department of Computer Science and Engineering, Koç University, Istanbul, Türkiye.
Host Faculty
Prof. Dr. Öznur Özkasap (oozkasap@ku.edu.tr)
Project Title
SHIELD: Reliable Distributed Learning and Smart Contract assisted Digital Ecosystems
Project Description
Smart contracts (SC) are transforming how we can enhance automated public services and how the services are executed and controlled in digital ecosystems. Distributed artificial intelligence (DAI) is a new AI paradigm that uses distributed device computing resources to improve data privacy. The combination of smart contracts and distributed AI has the potential to address challenging research issues, including network scalability, data privacy, and security, thus fostering efficient and responsible actions for reliable digital transformation ecosystems in smart cities and novel energy management models. Although promising, there is no high-level reference framework for designing novel SC / DAI driven solutions and benchmarking testbeds for essential use cases and scaling their implementation internationally. The SHIELD project aims to offer a new SC / DAI driven holistic service framework and apply it to important use cases in blockchain network ecosystems and smart city / smart energy case studies. SHIELD will bring together an international consortium of researchers from the EU and Asia. The SHIELD project is funded by EU CHIST-ERA program research grant
Qualifications Required
PhD in Computer Science / Engineering. Background and research experience on Distributed systems, Reliable Networks, Peer-to-Peer Algorithms, Blockchain, Smart Contracts, Intelligent Systems, Distributed Learning.
Contact Information
Interested candidates are encouraged to send CV, transcripts and research statement describing research experience and areas of interest to PI Prof. Dr. Öznur Özkasap (oozkasap@ku.edu.tr)
