Leonardo Montecchi

The Department of Computer Science at the Norwegian University of Science and Technology (NTNU) in Trondheim is seeking a PhD Candidate in Reliability of Autonomous Systems. NTNU is Norway’s leading academic IT environment, offering a wide range of theoretical and applied IT programmes and hosting a vibrant research community. The university is renowned for its technical-scientific profile and commitment to professional education, with 9,000 employees and 43,000 students working to create knowledge for a better world. This PhD position is part of the SALUBRIS project, funded by the European Defence Fund, focusing on Strategic Autonomous Logistics for Uncrewed Battlefield and Intervention Systems. The project aims to develop multimodal CASEVAC solutions using unmanned vehicles across land, sea, and air domains for casualty detection, recovery, and evacuation. The research will involve swarm coordination, sensor data fusion from wearable and nearable sources, and autonomous triage based on the START methodology, utilizing explainable AI to prioritize casualties. The successful candidate will contribute to the reliability aspects of these autonomous systems, including the design of fault tolerance solutions and evaluation of the robustness of machine learning and data fusion approaches. You will be part of the System Software research group ( www.ntnu.edu/idi/ssg ), participate in international conferences and research stays, and collaborate with national and international partners to ensure the success of the SALUBRIS project. Eligibility: Applicants must hold a relevant Master’s degree in Computer Science or equivalent, corresponding to a five-year Norwegian course with 120 credits at the master’s level. Master students may apply if their degree is completed by 2026-07-31. A strong academic background is required, with an average grade of B or better on NTNU’s grading scale, or equivalent. Good oral and written English skills, proficiency in C/C++, and low-level programming for embedded systems are essential. Admission to the NTNU Doctoral Program in Computer Science is mandatory within three months of employment. Preferred qualifications include open-source code contributions, experience with compiler-level tools, reliability and fault tolerance, and autonomous systems. Funding: The position offers a gross salary of NOK 550,800 per annum, with a 2% statutory contribution to the State Pension Fund. The employment period is three years, and the position is fully funded by the European Defence Fund via the SALUBRIS project. Additional benefits include working capital for project implementation, a mentor programme, favorable terms in the Norwegian Public Service Pension Fund, and free Norwegian language training at a basic level (A2). Application Process: Applications must be submitted electronically via Jobbnorge.no ( application link ) by 15 June 2026. Required documents include transcripts and diplomas for Bachelor’s and Master’s degrees, CV, copy or draft of Master’s thesis, project outline (max 1500 words), motivation letter (max 400 words), relevant publications and certificates, and contact information for three referees. If your education was completed abroad, provide documentation of scope and quality, and attach a diploma supplement if available. All documents must be in English. If invited to interview, bring certified copies of certificates and diplomas. Environment: NTNU offers an open and inclusive working environment, career guidance, and access to employee benefits. The university values diversity and aims to reflect the broader society, promoting equality and gender balance. The city of Trondheim provides a rich cultural scene, excellent welfare services, and opportunities for education, nature, and family life. For questions about the position, contact Associate Professor Leonardo Montecchi ( [email protected] ). For recruitment process inquiries, contact the HR office at the Department of Computer Science. Join NTNU and contribute to innovative research in autonomous systems reliability, supported by a strong international network and a mission-driven academic environment.

The Norwegian University of Science and Technology (NTNU) invites applications for a PhD Candidate in Reliability of Autonomous Systems within the Department of Computer Science, located in Trondheim, Norway. NTNU is Norway’s leading academic IT environment, offering a wide range of theoretical and applied IT programmes and hosting a vibrant research community. The position is part of the European Defence Fund-sponsored SALUBRIS project, which focuses on strategic autonomous logistics for uncrewed battlefield and intervention systems. The SALUBRIS project aims to advance multimodal CASEVAC operations using a mix of unmanned vehicles across land, sea, and air domains for casualty detection, recovery, and evacuation. The project leverages swarm coordination, sensor data fusion from wearable and nearable sensors, and explainable AI techniques to prioritize casualties through autonomous triage based on the START methodology. The successful candidate will contribute to the reliability aspects of these autonomous systems, including the design of fault tolerance solutions and evaluation of the robustness of machine learning and data fusion approaches. As a PhD Candidate, you will complete doctoral education, conduct high-quality research, publish academic and popular science work, and participate in the System Software research group ( https://www.ntnu.edu/idi/ssg ). You will engage in international activities, including conferences and research stays, and collaborate with national and international partners to ensure the success of the SALUBRIS project. The position offers a dynamic and inclusive working environment, career guidance, and access to employee benefits such as pension, free Norwegian language training, and working capital for project implementation. Eligibility: Applicants must hold a relevant Master’s degree in Computer Science or equivalent, corresponding to a five-year Norwegian course with 120 credits at the master’s level. Master students may apply if the degree is completed by July 31, 2026. A strong academic background is required, with an average grade of B or better on NTNU’s grading scale. Good oral and written English skills, proficiency in C/C++, and low-level programming for embedded systems are essential. Admission to the NTNU Doctoral Program in Computer Science must be secured within three months of employment. Preferred qualifications include open-source code contributions, experience with compiler-level tools, reliability and fault tolerance, and autonomous systems. Personal qualities such as independence, structured work, teamwork, motivation, and adaptability are highly valued. Funding: The position is externally funded by the European Defence Fund via the SALUBRIS project. The gross salary is NOK 550,800 per annum, with a 2% statutory contribution to the State Pension Fund deducted. The employment period is three years, and employee benefits include pension, free Norwegian language training, and working capital for project implementation. Application Process: Applications must be submitted electronically via Jobbnorge.no ( Apply here ) before the deadline of June 15, 2026. Required documents include transcripts and diplomas, CV, master’s thesis, project outline, motivation letter, publications, certificates, and contact information for three referees. If invited to interview, certified copies of certificates and diplomas must be provided. For questions about the position, contact Associate Professor Leonardo Montecchi ( [email protected] ). NTNU values diversity and aims to reflect the diversity in society, promoting equality and inclusion in its workforce. The university offers a modern European city experience in Trondheim, with excellent welfare, education, and family life opportunities.

The Norwegian University of Science and Technology (NTNU) invites applications for a 3-year postdoctoral fellowship in the reliability of autonomous systems, based in the Department of Computer Science in Trondheim. This position is part of the SALUBRIS project, funded by the European Defence Fund, focusing on strategic autonomous logistics for uncrewed battlefield and intervention systems. The project leverages multimodal CASEVAC operations, utilizing unmanned vehicles across land, sea, and air domains for casualty detection, recovery, and evacuation, coordinated through swarm technologies. Sensor data fusion from wearable and nearable sources enables autonomous triage using explainable AI and the START methodology, prioritizing casualties efficiently. The postdoctoral fellow will contribute to the reliability aspects of these autonomous systems, with a particular focus on designing fault tolerance solutions within the system architecture and evaluating the robustness of machine learning and data fusion approaches. The role includes conducting high-quality research, publishing academic and popular science outputs, participating in the System Software research group, applying for research funding, mentoring students, and engaging in collaborative activities with national and international partners. International conference participation and research stays abroad are encouraged. Applicants must hold a PhD in Computer Science or equivalent, or be in the final phase with documented thesis submission or defense date. Essential skills include proficiency in C/C++ and low-level programming for embedded systems, as well as strong English communication abilities. Preferred qualifications are a track record in open-source code contributions, compiler-level tool development, reliability and fault tolerance, and autonomous systems. Personal qualities such as independence, structured work, goal-setting, constructive engagement, adaptability, and motivation are highly valued. The position offers a gross annual salary of NOK 633,400 before tax, with a 2% deduction for the Norwegian Public Service Pension Fund. Additional benefits include favorable pension terms, free basic Norwegian language training, career guidance, mentoring, and access to employee benefits. NTNU is committed to diversity, equality, and an inclusive working environment, and encourages applications from candidates of all backgrounds. To apply, submit your application and all required documents electronically via Jobbnorge.no by 15 June 2026. Required documents include transcripts and diplomas for all degrees, CV, doctoral thesis or draft, research plan, relevant publications, certificates, recommendation letters, and contact information for three referees. If your education was completed abroad, provide documentation of its scope and quality. Certified copies of certificates and diplomas must be brought to interviews if invited. Applications are assessed solely on information received by the deadline. For further information, contact Assoc. Prof. Stefano Cherubin ([email protected]) or Assoc. Prof. Leonardo Montecchi ([email protected]). For recruitment process queries, contact [email protected]. The position is conditional on external funding and requires daily physical presence at NTNU. The city of Trondheim offers a vibrant cultural scene, excellent welfare services, and opportunities for education and family life. NTNU is Norway’s leading academic IT environment, offering a wide range of theoretical and applied IT programs. The Department of Computer Science covers hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations, and applied data processing, with groups in Trondheim and Gjøvik.

PhD Candidate in AI-Assisted Software and Systems Engineering at the Norwegian University of Science and Technology (NTNU), Department of Computer Science, Trondheim, Norway. This PhD project sits in the Software Engineering group and focuses on how generative AI and AI agents can support software engineering and systems engineering tasks in critical systems and infrastructures. Example application areas mentioned in the post include power distribution systems, railway infrastructure, and flight control systems. The project may be tailored to the successful candidate’s background and interests, while remaining within the broader theme of evaluating AI-assisted solutions for design, development, verification, safety analysis, and related work in complex software-based systems. The post is a full-time, temporary PhD position. It offers an exciting research environment, participation in the Software Engineering research group, opportunities for international activities such as conferences or research stays, and career support during the doctorate. The salary is normally NOK 580,000 gross per year depending on qualifications and seniority. The appointment lasts 3 years for the doctoral work plus 1 additional year of career-promoting duties. Applicants must qualify for admission to the Doctoral Programme in Computer Science and hold a relevant Master’s degree in Computer Science or equivalent, including a major independent project of at least 30 ECTS equivalent to a master’s thesis. The university states that Master’s students may apply only if the degree is completed and documented before starting, and no later than 2026-10-30. A strong academic record is expected, normally at least B on NTNU’s grading scale, together with good programming skills and strong English communication skills. Preferred experience includes software/system architecture modelling, agentic frameworks such as LangChain or Microsoft Agent Framework, generative AI, and knowledge of critical systems. The application must be submitted electronically via Jobbnorge.no. Required attachments include transcripts and diplomas for Bachelor’s and Master’s degrees, CV, a copy of the Master’s thesis, a project outline (maximum 1500 words / 4 pages), a short motivation letter, scientific publications or other relevant work, and contact information for three references. If your education was completed abroad, additional documentation of scope and quality is required, including a diploma supplement where relevant or an HK-dir statement if available. Deadline: 2026-10-08 (23:59 Europe/Oslo). Contact person for questions about the position: Associate Professor Leonardo Montecchi ([email protected]).