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Position: Research Associate (Postdoc) in Computer Science/Information Systems Engineering on Institutional Applications of Decentralized Finance
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: Carry out research in fields of interest to the research group, such as: Data analytics; Decentralized finance; Distributed ledger technology; Software engineering; Privacy-enhancing technologies, e.g., zero-knowledge proofs; Provide guidance to PhD students; Disseminate results through scientific publications in outlets on the intersection between Information Systems and Computer Science; Support the conceptualization and writing of research proposals to attract industry partnerships as well as national and European grant projects 
Requirements: PhD degree in Computer Science, Applied Mathematics, Applied Physics, Cryptography, Data Science, or a related field; Experience in publishing high-quality research, as demonstrated by research under review or published in 1stquartile conferences and journals (according to Scopus); Experience in research supervision; Strong knowledge of quantitative and/or computational research methods; Proficiency in one of the major programming languages, such as Java, JavaScript, Python, or Rust
   
Text: Research Associate (Postdoc) in Computer Science/Information Systems Engineering on Institutional Applications of Decentralized Finance Carry out research in fields of interest to the research group, such as: Data analytics; Decentralized finance; Distributed ledger technology; Software engineering; Privacy-enhancing technologies, e.g., zero-knowledge proofs; Provide guidance to PhD students; Disseminate results through scientific publications in outlets on the intersection between Information Systems and Computer Science; Support the conceptualization and writing of research proposals to attract industry partnerships as well as national and European grant projects  PhD degree in Computer Science, Applied Mathematics, Applied Physics, Cryptography, Data Science, or a related field; Experience in publishing high-quality research, as demonstrated by research under review or published in 1stquartile conferences and journals (according to Scopus); Experience in research supervision; Strong knowledge of quantitative and/or computational research methods; Proficiency in one of the major programming languages, such as Java, JavaScript, Python, or Rust
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