Linköping University in Sweden stands as a beacon of academic excellence, offering a prestigious scholarship program in the burgeoning fields of artificial intelligence (AI) and machine learning (ML). The scholarship program promotes cutting-edge research and nurtures the next generation of innovators in these transformative domains.

AI and Machine Learning PhD Scholarship: Linköping University is accepting applications for an AI and Machine Learning PhD scholarship, emphasizing generative machine learning techniques for cyber security applications. As part of the WASP NEST SOURCE program, join our vibrant research group and participate in innovative initiatives overseen by Professor Fredrik Heintz. This is a fantastic chance to work towards a doctorate in a dynamic academic setting at one of the top AI research centers in Sweden.

Position: AI and Machine Learning PhD ScholarshipTechniques for generative machine learning in cyber security applications
Time FrameFour years, extendable
Research Subject: The study topic focuses on the WASP NEST SOURCE program and centers on the use of generative machine learning techniques to improve cyber security.

Scholarship Overview

Linköping University presents a coveted scholarship program specifically tailored for students passionate about AI and ML. This initiative aims to attract exceptional talents keen on advancing these fields.

The scholarship program is centered on AI and ML disciplines, encompassing a spectrum of topics including deep learning, computer vision, natural language processing, robotics, and more.

Successful applicants receive financial support covering tuition fees and living expenses, providing a conducive environment to focus on academic pursuits and research endeavors.

Linköping University, renowned for its academic rigor and innovative research, provides a fertile ground for scholars to engage in groundbreaking studies and contribute to the advancement of AI and ML.

Scholarship recipients gain access to state-of-the-art laboratories, research facilities, and collaborative networks, fostering an environment conducive to innovation and exploration.

The program encourages an interdisciplinary approach, facilitating collaboration across various disciplines, thereby enabling scholars to tackle complex challenges in AI and ML.

Scholars benefit from mentorship by esteemed faculty members and industry experts, who guide them through their academic journey and research projects.

The scholarship program opens doors to diverse career pathways in academia, research institutions, tech companies, and other sectors seeking AI and ML expertise.

Prospective applicants are required to demonstrate a strong academic background, relevant experience, and a compelling motivation to contribute to the fields of AI and ML.

Graduates from this program are poised to make significant contributions to the development of intelligent systems, technological advancements, and real-world applications of AI and ML.

How to Apply: Clicking the “Apply” button below will allow interested parties to apply. Make sure Linköping University receives your application by January 15, 2024, at the latest. Applications that arrive late won’t be accepted. We encourage applications from a variety of backgrounds, experiences, and viewpoints because we respect diversity.

Final Date: January 15, 2024

For questions, please get in touch with:

Fredrik Heintz, Professor and Head of Division, fredrik.heintz@liu.se
Supervisor of Human Resources: Sandra Malmström, sandra.malmstrom@liu.se

Linköping University’s scholarship program in AI and ML offers a transformative opportunity for scholars passionate about these dynamic fields. With a commitment to fostering academic excellence, research innovation, and the cultivation of future leaders, the university propels students toward becoming catalysts for positive change in artificial intelligence and machine learning. Aspiring applicants are encouraged to explore the university’s official website for detailed application guidelines and eligibility criteria.

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