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Job Descriptions
You will be working on the following research areas:
• The Security and Safety of Blockchain Technology
• The security of Smart Contract: from vulnerabilities detection to design and evaluate testing tools.
• Research and Development of Secure HPC Software.
• Machine Learning-Based Malware Analysis.
Preferred Qualifications
• Proficiency in Python, Rust, and Solidity
• Experience in machine learning
• Excellent writing skills
• Applicants who have prior research experience, including published work from work experiences,
and undergraduate, or graduate studies.
About the PI
Dr. Amani Altarawneh (PI) is an assistant professor with a specialization in cybersecurity at Tennessee Tech
University. Her primary interests are in the areas of blockchain, cybersecurity, IoT, smart cities, and parallel
programming. Her research includes security methods and novel analysis techniques on different types of
blockchains. Her work addresses availability analysis of consensus algorithms for blockchain systems using
formal methods and by combining established techniques used for evaluation and testing.
How to apply
If you are interested in joining this research group, please email your CV and Transcript to
aaltarawneh@tntech.edu. For convivence the subject line should be “Prospective Graduate PhD/MS
Application – [YOUR NAME]”. In the email, you are also encouraged to attach a short statement to describe
your research interests, experiences, related course projects, skills, and your career goals. |