PhD Student in Computer Science: Linköping University invites applications for a 4-year PhD studentship in Computer Science as part of the Wallenberg AI, Autonomous Systems and Software Program (WASP). The successful candidate will be involved in the WASP NEST project, focusing on “AI for Attack Identification, Response and Recovery (AIR²)”. The research will emphasize “Learning Interpretable Models for Identifying Attacks and Countermeasures.” The position involves both theoretical and experimental work, contributing to the field of artificial intelligence and cybersecurity.
Designation: PhD Student
Research Area: Computer Science – Learning Interpretable Models for Identifying Attacks and Countermeasures
Location: Linköping University, Department of Computer and Information Science
Eligibility/Qualification:
- Master’s degree in computer science or equivalent coursework (at least 240 ECTS-credits, including 60 ECTS-credits from the second cycle in computer science).
- Previous experience in areas such as automated planning, reinforcement learning, logic, or combinatorial optimization.
- Excellent study results, strong programming skills, and proficiency in oral and written communication in English.
Job Description:
PhD Student in Computer Science within WASP Graduate School
The selected candidate will:
- Conduct research supervised by Dr. Jendrik Seipp, Associate Professor in Artificial Intelligence at Linköping University.
- Work on the development and understanding of the iron catalyst within the WASP NEST project.
- Undertake a three-month placement at Syngenta.
- Collaborate with academic and industrial supervisors.
- Contribute to the enhancement of cybersecurity using AI.
How to Apply: To apply, click the “Apply” button below and submit the following documents:
- Cover letter (up to two pages) explaining motivation and fit for the position.
- Academic CV, including names and email addresses of 1-2 referees.
- Transcript of records listing courses and grades.
- Links to theses and publications (if applicable).
Last Date for Apply: January 29th, 2024
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