The Norwegian University of Science and Technology (NTNU) is recruiting two PhD candidates for the D-CRISP project, focusing on the role of Digital Twins in complex socio-technical systems. The available positions are: (1) PhD Candidate in Antagonistic threats-aware Digital Twins in product lifecycle, and (2) PhD Candidate in Digital Twins for food safety. The research will be conducted within an international team, exploring how digital twins can be leveraged to enhance security, resilience, and safety in production sites, supply chains, public infrastructure, and the power grid. The D-CRISP project investigates collaborative digital twins (DTs) and their application in protecting critical infrastructure and ensuring food safety. The research areas include cybersecurity, threat modeling, lifecycle management, and the integration of digital twins in real-world socio-technical systems. Candidates will have the opportunity to work with advanced technologies and contribute to the development of protection measures against antagonistic threats. Applicants should have a master's degree in computer science, information technology, or a related discipline. Preferred qualifications include experience in digital twins, cybersecurity, socio-technical systems, or food safety, as well as strong programming and analytical skills. English proficiency is required. The positions are based at NTNU in Norway, a leading institution in technology and engineering research. Funding details are not explicitly mentioned, but NTNU PhD positions are typically fully funded, offering competitive salaries and benefits. The application deadline is January 31, 2026. Interested candidates should review the application links for each position, prepare the required documents, and submit their applications online. For further information, candidates may contact Associate Professor Andrei Lobov via LinkedIn. Relevant academic keywords include Digital Twins, Antagonistic Threats, Food Safety, Socio-technical Systems, Product Lifecycle, Supply Chain, Cybersecurity, and Public Infrastructure. The research is highly interdisciplinary, bridging computer science, information technology, and applied engineering fields.

The Department of Mechanical and Industrial Engineering at the Norwegian University of Science and Technology (NTNU) invites applications for a PhD position focused on antagonistic threats-aware digital twins in product lifecycle. This three-year, full-time position is part of the D-CRISP project, which aims to develop integrated digital twin solutions to detect and mitigate potential threats across various domains, including production, power grids, public infrastructure, and logistics chains. The successful candidate will research, develop, and demonstrate methodologies for building and integrating digital twins throughout product lifecycles, with a particular emphasis on detecting intrusions and preventing disruptions. The project covers themes such as digital twins and IoT, human digital twins, Industry 4.0 and 5.0, system engineering, socio-technical systems, AI-supported adaptive learning, industrial cybersecurity, supply chain security, semantic modelling, knowledge representation, and automated reasoning. As a PhD candidate, you will join an international research community, collaborating with project partners in Norway, Finland, Estonia, and Lithuania. Opportunities for research visits and potentially a dual degree with partner institutions are available. You will participate in the Knowledge-based Engineering and Knowledge-driven Systems research group and engage in international conferences and research stays. Applicants must hold a master's degree (or equivalent) in production engineering, industrial ICT, or industrial engineering. Master students graduating in spring 2026 are eligible to apply. Required skills include mathematics, programming, and production engineering or product development. The degree must correspond to a five-year Norwegian master's education (120 credits at master's level), with a strong academic background (average grade B or better on NTNU's scale). Very good English skills, both written and oral, are essential. Preferred qualifications include programming experience (Python, OOA/OOD/OOP), semantic modeling, knowledge representation, automated reasoning, knowledge-based engineering, system engineering, AI frameworks, industrial protocols, and cyber-physical systems. The position offers a gross annual salary of NOK 550,800, with a 2% statutory contribution to the State Pension Fund. The employment period is three years, conditional on external funding from the D-CRISP project. NTNU provides a supportive and inclusive working environment, career guidance, working capital for project implementation, and free basic Norwegian language training. Diversity and equality are core values at NTNU, and applications are encouraged from candidates of all backgrounds. Applications must be submitted electronically via Jobbnorge.no, including transcripts, diplomas, CV, master's thesis, project outline, motivation letter, and contact information for three referees. All documents should be in Norwegian, a Scandinavian language, or English. Only applications received by the deadline will be considered. For questions about the position, contact Associate Professor Andrei Lobov at [email protected]. NTNU is located in Trondheim, a vibrant European city known for its rich cultural scene, excellent welfare system, and high quality of life. The university is committed to creating knowledge for a better world and offers a dynamic environment for research and professional development.

The Department of Mechanical and Industrial Engineering at the Norwegian University of Science and Technology (NTNU) invites applications for a PhD Candidate position focused on learning engineering from blueprints and digital artefacts of past technical creations. NTNU is a leading technical-scientific university with a strong commitment to professional education and research, headquartered in Trondheim, Norway. This research opportunity centers on developing systematic approaches to integrate knowledge across the product lifecycle, leveraging standards and best practices from various engineering disciplines. The project aims to enable companies to reuse and build upon their previous product design knowledge, training new generations of engineers and fostering sustainable innovation. Technical artefacts such as CAD drawings, 3D models, and simulation results (FEM, CFD) are increasingly available in digital formats, yet are rarely reused after their initial purpose. The PhD research will explore methodologies for building and integrating machine learning solutions to extract and utilize this knowledge, contributing to a holistic view of product lifecycle management and efficient use of digital artefacts. The successful candidate will join the Knowledge-based Engineering and Knowledge-driven Systems research group, working under the supervision of Associate Professor Andrei Lobov. Duties include completing doctoral education, contributing to research and development, disseminating results in academic and popular science forums, and participating actively in the department's collaborative environment. Applicants must hold a relevant Master's degree (product/industrial design, production engineering, industrial ICT, or industrial engineering) equivalent to a five-year Norwegian course with 120 credits at master's level. Master students graduating in spring 2026 may apply, provided the degree is completed before starting. A strong academic record (B or better on NTNU's grading scale), basic knowledge of CAD/CAM/CAE, proficiency in mathematics and programming, and excellent English skills are required. Preferred qualifications include strong programming skills (Python), experience with semantic modeling, knowledge representation, automated reasoning, knowledge-based engineering, system engineering, AI frameworks, industrial protocols, and information systems. Skills in Norwegian or another Scandinavian language are advantageous. Personal qualities such as independence, collaboration, motivation, and adaptability are highly valued. The position offers a gross annual salary of NOK 550,800, favorable pension fund membership, free basic Norwegian language training, working capital for project implementation, and access to employee benefits. The employment period is three years, and admission to the PhD programme in Engineering is required within three months of the contract start date. The work environment is open, inclusive, and international, with a strong focus on diversity and equality. Applications must be submitted electronically via Jobbnorge.no by 22nd March 2026. Required documents include transcripts, diplomas, CV, master's thesis or draft, project outline, motivation letter, publications, certificates, and contact information for three referees. All documents must be in English. If invited to interview, certified copies of certificates and diplomas must be provided. NTNU is committed to responsible research assessment and recognizes a wide range of academic contributions. The university offers a vibrant academic and cultural environment in Trondheim, with excellent welfare, education, and family life opportunities.