Position SummaryThe postdoctoral researcher will work on developing secure machine-learning algorithms using homomorphic encryption. The research will focus on developing novel techniques to enable privacy-preserving machine learning on encrypted data. The successful candidate will work on developing and implementing homomorphic encryption algorithms for machine learning applications, including deep learning and neural networks. The candidate will also be responsible for evaluating the performance of the developed algorithms and comparing them with state-of-the-art techniques. The ideal candidate should have a strong background in machine learning, cryptography, and programming. Experience with homomorphic encryption is required.
Equal Employment Opportunity StatementAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Required DegreeDoctorate -Computer Science, Electrical Engineering
Minimum RequirementsPhD in Computer Science, Electrical Engineering, or related area.Desired QualificationsStrong background in machine learning, cryptography, and programming.Experience with homomorphic encryption and associated software libraries.Excellent programming skills in Python, C++, or other programming languages.Strong publication record in top-tier conferences and journals.Excellent communication and interpersonal skills.Required Application MaterialsTo apply, please submit your CV, a cover letter, a list of three references, and three representative publications.
Websitecse.msu.edu
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