Machine Learning for Software Security: Fully Funded PhD Position

Are you fascinated by the potential of machine learning to enhance software security and combat malware? Umeå University, Sweden, is offering a fully funded PhD position in Computing Science or Computational Science and Engineering with a focus on Machine Learning for Software Security. This exciting opportunity is part of a research project funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP).

Empowering Software Security with Machine Learning

As our reliance on computer systems grows, so does the need to protect them from malicious applications, such as malware. These complex and sophisticated software threats can target everything from private computers and smartphones to critical national infrastructures. To counter these challenges, there is a growing interest in adapting and developing cutting-edge machine learning methods for malware detection, and early results show promise.

Innovative Goals for Advancing Malware Detection

As a PhD student in this project, your primary objective will be to develop novel machine learning methods to significantly enhance malware detection capabilities. By harnessing the power of artificial intelligence and machine learning, you will contribute to groundbreaking research in software security and play a crucial role in protecting computer systems from emerging threats.

Expert Supervision and Collaboration

Under the co-supervision of Professor Alexandre Bartel, head of the Software Engineering and Security (SES) group, and Associate Professor Tommy Löfstedt, head of the Machine Learning group at the Department of Computing Science, Umeå University, you will receive expert guidance and mentorship throughout your research journey.

Application Deadline and How to Apply

If you are passionate about advancing software security through machine learning and computational science, seize this opportunity and apply for the fully funded PhD position by August 20, 2023. To learn more about the project and submit your application, visit the official Umeå University website: PhD Student in Computing Science or Computational Science and Engineering with Focus on Machine Learning for Software Security

Shape the Future of Software Security

By joining this research project, you will be at the forefront of innovation, pushing the boundaries of machine learning for software security. Embrace this opportunity to make a meaningful impact in the field of computing science and contribute to the safety and security of computer systems worldwide. Take the first step towards shaping the future of software security, and embark on an exciting journey of discovery and excellence in the realm of machine learning and software protection.