Applications are invited for a postdoctoral research position with the SoftArch Lab led by Professor Nenad Medvidovi? (http://softarch.usc.edu/~neno/) in the Thomas Lord Department of Computer Science at the University of Southern California. This position is part of a two-year research project that targets the application of machine learning to detect and repair security vulnerabilities in software systems, including a significant focus on uncovering and ensuring resilience to zero-day threats. Applicants are expected to have a strong technical background in software engineering and cybersecurity, with significant experience in program analysis and reverse engineering. A background in machine/deep learning is highly desired, but strong applicants without prior experience in these areas will be considered, especially if they demonstrate the motivation and ability to develop requisite skills.

Applicants must hold, or expect to hold, a doctoral degree in Computer Science, Computer Engineering, Software Engineering, or a closely related field. Applicants must have excellent interpersonal and communication skills. Those interested in pursuing an academic career are particularly encouraged to apply.

The position can be filled immediately. Please apply by sending a CV to Prof. Medvidovi? (neno@usc.edu). Also feel free to contact him directly with any questions.

The annual base salary range for this position is $62,400.00 - $71,760.00. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope of responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

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