Aalborg University's AI:SECURITY Lab is recruiting a PhD fellow to join a dynamic research team focused on advanced trustworthy AI and its application to cybersecurity. The position is based in Copenhagen and is part of the AI:X initiative, which aims to advance AI research and foster interdisciplinary collaboration. The successful candidate will work on developing methods to ensure the privacy, security, and robustness of AI systems, with research topics including adversarial attacks and defenses, privacy-preserving AI (such as federated learning and differential privacy), cryptographic approaches for data privacy, and deepfake detection. The lab is a collaboration between the Department of Electronic Systems and the Department of Computer Science at Aalborg University, and is expected to grow significantly in the coming year. Applicants should have a strong background in information engineering, computer science, cybersecurity, or related fields, and possess strong programming skills. The position is fully funded for three years, with salary and benefits according to Danish standards. The application deadline is November 10, 2025. To apply, candidates must submit a motivation letter, CV, diplomas, a project description, and other relevant documents via the university's recruitment system. For more information, candidates can contact Assistant Professor Qiongxiu Li or Professor Johannes Bjerva. The lab offers a vibrant, international research environment and opportunities to contribute to high-impact research in AI security and privacy.

Aalborg University in Denmark is offering 14 fully funded PhD positions across a range of departments and research areas. These positions span robotics, artificial intelligence, natural language processing (NLP), large language model (LLM) security, autonomous systems, civil engineering, sustainable materials, CFD modelling of green fuel combustion, and social inclusion of young adults on the autism spectrum. The university is recognized for its strong research environment and international collaborations, providing access to state-of-the-art computational resources and opportunities for research stays abroad. Highlighted projects include safe learning-based control for autonomous robots, NLP and AI with a focus on LLM security, artificial intelligence for autonomous decision-making systems, collaborative localization and sensor integration for unmanned maritime systems, CFD modelling of green fuel combustion, structural reliability of sustainable materials, and qualitative research on workplace inclusion for young adults with autism. Supervisors such as Professor Johannes Bjerva lead some of these projects, particularly in the NLP and AI domains. Applicants should hold a relevant master's degree and demonstrate strong academic performance, with specific skills required depending on the project (e.g., programming for technical roles, qualitative research for social science projects). All positions are fully funded, covering tuition and providing a stipend, with funding from major grants and foundations. Deadlines for applications range from January 11, 2026, to February 1, 2026. Interested candidates should apply online through the Aalborg University job portal, ensuring all required documents are submitted before the respective deadlines. These PhD opportunities are ideal for candidates interested in advancing research in robotics, AI, NLP, civil engineering, sustainable materials, and social inclusion, and who wish to join a vibrant, international academic community in Denmark.

Aalborg University’s Department of Computer Science, Technical Faculty of IT and Design, invites applications for four fully funded PhD positions in Natural Language Processing (NLP), Artificial Intelligence (AI), and Large Language Model (LLM) Security. These positions are based at the Copenhagen campus, located in Sydhavnen, and are part of the rapidly expanding NLP research group led by Professor Johannes Bjerva. The research group is internationally recognized for its work in multilingual NLP, LLM security, linguistically informed approaches to NLP, factuality in LLMs, and socially sustainable AI. The group is supported by major national and international grants, including the DFF: Sapere Aude project (“Building TRUST in Text: Linguistically Motivated Language Model Detection”) and the NNF: Ascending Data Science Investigator project (“LM2-SEC: Linguistically Motivated Language Model Security”). PhD students will join a collaborative and ambitious research community, with access to state-of-the-art computational resources and opportunities for international research stays. The group is expanding in 2026, with four new postdocs expected to work closely with incoming PhD students. Research topics include security, safety, and privacy in NLP and AI, with a particular focus on LLMs and LLM-based systems. Possible directions include detection and mitigation of backdoors, data poisoning, adversarial inputs, detection of compromised LLM-generated text, linguistically motivated methods for analyzing and securing LLM behavior, vulnerabilities in low-resource language settings, and formal semantic or symbolic methods for monitoring and improving LLM robustness. The department is highly regarded for its research, education, and collaboration, and offers a supportive, inclusive, and diverse environment. The Section for Copenhagen is growing rapidly, fostering a positive atmosphere with regular seminars, social events, and cross-group activities. The NLP group collaborates broadly across Europe and globally, and is committed to psychological safety and inclusive research practices. Applicants must hold a relevant MSc degree (e.g., Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or related fields), possess strong skills in machine learning and deep learning, have experience with modern NLP methods including transformer models, and demonstrate excellent English communication skills. Preference is given to candidates with prior experience in NLP, LLM architectures, security, privacy, safety, or robustness. Enrollment as a PhD student at the Technical Doctoral School of IT and Design is required, with regular progress assessments according to Danish regulations. Funding is fully provided for three years, including salary and employment terms in accordance with Danish academic staff agreements. The application deadline is August 31, 2026. Applications must be submitted via Aalborg University’s recruitment system and include an application letter, CV, diplomas, project description, and other relevant documents. The university values diversity and encourages all qualified candidates to apply. For further information, contact Professor Johannes Bjerva at [email protected]. More details and the application portal are available at Aalborg University PhD Vacancies and Department of Computer Science .

The Department of Computer Science at Aalborg University, Technical Faculty of IT and Design, invites applications for four fully funded PhD positions in Natural Language Processing (NLP), Artificial Intelligence (AI), and Large Language Model (LLM) Security. These positions are based at AAU’s Copenhagen campus, located in Sydhavnen, and are part of the rapidly expanding NLP research group led by Professor Johannes Bjerva. Research in this group focuses on multilingual NLP, LLM security, linguistically informed approaches to NLP, factuality in LLMs, and socially sustainable AI. The group is supported by major national and international grants, including the DFF: Sapere Aude project (“Building TRUST in Text: Linguistically Motivated Language Model Detection”) and the NNF: Ascending Data Science Investigator project (“LM2-SEC: Linguistically Motivated Language Model Security”). In 2026, the group will expand to include four postdocs and ten PhD students, fostering a highly collaborative and international research environment. PhD students will conduct research at the intersection of security, safety, and privacy in NLP and AI, with a particular emphasis on LLMs and LLM-based systems. Possible research directions include detection and mitigation of backdoors, data poisoning, and adversarial inputs in LLMs; detection of LLM-generated text, especially in compromised models; linguistically motivated methods for analyzing and securing LLM behavior; analysis of vulnerabilities in low-resource language settings; and formal semantic or symbolic methods for monitoring and improving LLM robustness. The group offers access to state-of-the-art computational resources and opportunities for international research stays. Collaboration is encouraged both within the group and with national and international partners. The department is known for its open, friendly, and supportive atmosphere, emphasizing psychological safety, diversity, and inclusive research practices. Regular seminars, social events, and cross-group activities contribute to a dynamic and welcoming environment for early-career researchers. Applicants must hold a relevant MSc degree (e.g., Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or related fields) and demonstrate strong skills in machine learning, deep learning, and modern NLP methods, including transformer models. Excellent English communication skills are required. Preference is given to candidates with experience in NLP, LLM architectures, security, privacy, safety, or robustness. Enrollment in the Technical Doctoral School of IT and Design is mandatory, with regular progress assessments as per Danish ministerial regulations. Salary and employment terms follow the Danish Confederation of Professional Associations and state agreements. The positions are fully funded for three years. Aalborg University is internationally recognized for its engineering and research excellence, ranking highly in global university rankings. The university values diversity and encourages applications from all backgrounds. To apply, submit your application via Aalborg University's recruitment system, including an application letter, CV, diplomas, and a project description outlining your research vision. For questions, contact Professor Johannes Bjerva. The application deadline is May 31, 2026.