AI is rapidly becoming the primary author of the world's software. Today's models generate code at a speed no human can match — but how can we trust code we did not write ourselves? Formal verification offers a path to mathematically guaranteed correctness, yet combining it with AI-based code generation raises deep and largely unsolved challenges.
As a postdoctoral researcher, you will tackle exactly this question: how to generate code with AI and formally verify that it does what it should. Your work will combine modern AI/LLM-based code generation with formal methods to produce software that is both fast to create and provably trustworthy.
The position is part of SAFIR (Secure AI for Intelligent Resilience and Confidentiality in the Cloud), a EUR 2.5M collaborative project between KTH, Saab, Nvidia, Ericsson, Red Hat, CanaryBit and RISE, building next-generation secure and dependable AI for critical domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School of Electrical Engineering and Computer Science (EECS), in an international and dynamic environment with strong academic and industrial collaborations. You will have access to international supercomputing resources and a state-of-the-art in-house lab equipped with NVIDIA H100 and A100 GPUs and ten NVIDIA RTX Pro 6000 GPUs.
Requirements
Preferred qualifications
Great emphasis will be placed on personal skills.
KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH's core values as a university and public authority.
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Tagged as: Engineering, Physics
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