[Jobs] Fully Funded PhD Student Position in Computing Science with a focus on Machine Learning for Software Security
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Tommy L
Mar 2, 2026, 10:40:50 AM (14 hours ago) Mar 2
to Women in Machine Learning
Dear all,
A fully funded PhD student position in machine learning for software security is available at the Department of Computing Science, Umeå University, Sweden.
Link to the full offer with all details: https://www.umu.se/en/work-with-us/open-positions/phd-student-in-computing-science-with-a-focus-on-machine-learning-for-software-security_906293/
Deadline for the application: March 22, 2026.
A fully funded PhD student position in machine learning for software security is available at the Department of Computing Science, Umeå University, Sweden.
Link to the full offer with all details: https://www.umu.se/en/work-with-us/open-positions/phd-student-in-computing-science-with-a-focus-on-machine-learning-for-software-security_906293/
Deadline for the application: March 22, 2026.
A great opportunity to work in the intersection of machine learning and software security, fully funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP, https://wasp-sweden.org).
Project description
Our societies rely on computer systems, and increasingly so. Unfortunately, computer systems can be the target of malicious applications—malware. These malicious applications can be complicated pieces of software developed by well organized criminal gangs or by government agencies to attack anything from private computers and smart phones to critical national infrastructures. There has been an increased interest in adapting and developing the latest machine learning methods for the purpose of malware detection, and preliminary results are encouraging. The specific goals of this project include to develop novel machine learning methods to improve malware detection.
The doctoral student position is offered within a research project financed by the Wallenberg AI, Autonomous Systems and Software Program (WASP). The doctoral student will be supervised by Tommy Löfstedt, Docent and Associate Professor and head of the Machine Learning group, and Alexandre Bartel, Professor and head of the Software Engineering and Security (SES) group, both at the Department of Computing Science, Umeå University.
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden's largest individual research program ever, a major national initiative for strategically motivated basic research, education, and faculty recruitment. The program addresses research on artificial intelligence, autonomous systems, and software, acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems, and software for the benefit of Swedish society and industry. Read more at: https://wasp-sweden.org.
Our societies rely on computer systems, and increasingly so. Unfortunately, computer systems can be the target of malicious applications—malware. These malicious applications can be complicated pieces of software developed by well organized criminal gangs or by government agencies to attack anything from private computers and smart phones to critical national infrastructures. There has been an increased interest in adapting and developing the latest machine learning methods for the purpose of malware detection, and preliminary results are encouraging. The specific goals of this project include to develop novel machine learning methods to improve malware detection.
The doctoral student position is offered within a research project financed by the Wallenberg AI, Autonomous Systems and Software Program (WASP). The doctoral student will be supervised by Tommy Löfstedt, Docent and Associate Professor and head of the Machine Learning group, and Alexandre Bartel, Professor and head of the Software Engineering and Security (SES) group, both at the Department of Computing Science, Umeå University.
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden's largest individual research program ever, a major national initiative for strategically motivated basic research, education, and faculty recruitment. The program addresses research on artificial intelligence, autonomous systems, and software, acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems, and software for the benefit of Swedish society and industry. Read more at: https://wasp-sweden.org.
Eligibility
The general admission requirements for doctoral studies are a second-cycle level degree, or completed course requirements of at least 240 ECTS credits, of which at least 60 ECTS credits are at second-cycle level, or have an equivalent education from abroad, or equivalent qualifications.
To be admitted to doctoral studies in the field of computer science, the applicant must have completed courses totaling at least 90 higher education credits in computer science or in subjects directly relevant to the specific specialization.
A very good command of the English language is a key requirement. Documented knowledge and experience in machine learning is required; experience with natural language processing or with sequence models is a merit. Candidates are expected to have a genuine interest in computer security, and are required to have very good knowledge of programming (such as in C, Java, or Python).
Another requirement is good grades in relevant education programmes and especially in courses within machine learning and software security. The candidate must also be motivated to conduct doctoral studies within WASP.
Important personal qualities include the ability to work in a team, communicate with colleagues, be disciplined, curious, and creative.
The general admission requirements for doctoral studies are a second-cycle level degree, or completed course requirements of at least 240 ECTS credits, of which at least 60 ECTS credits are at second-cycle level, or have an equivalent education from abroad, or equivalent qualifications.
To be admitted to doctoral studies in the field of computer science, the applicant must have completed courses totaling at least 90 higher education credits in computer science or in subjects directly relevant to the specific specialization.
A very good command of the English language is a key requirement. Documented knowledge and experience in machine learning is required; experience with natural language processing or with sequence models is a merit. Candidates are expected to have a genuine interest in computer security, and are required to have very good knowledge of programming (such as in C, Java, or Python).
Another requirement is good grades in relevant education programmes and especially in courses within machine learning and software security. The candidate must also be motivated to conduct doctoral studies within WASP.
Important personal qualities include the ability to work in a team, communicate with colleagues, be disciplined, curious, and creative.
We look forward to receiving your application!
Kind regards,
Tommy Löfstedt
Associate Professor
Department of Computing Science
Umeå University
Umeå, Sweden
Kind regards,
Tommy Löfstedt
Associate Professor
Department of Computing Science
Umeå University
Umeå, Sweden
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