3 English-speaking jobs in Gjøvik

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  • This is NTNUNTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.You will find more information about working at NTNU and the application process here. Video: https://youtu.be/Xt-yHCN5QS0?si=VvgEPS9s6a7_Cw7zAbout the positionWe are seeking a highly motivated PhD candidate to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software development, and experimental validation in the Norwegian Cyber Range.Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD research fellow with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a range of leading positions in business, administration, higher education and research. Your immediate manager will be the Head of Discipline.About the projectThis PhD project focuses on advancing the modelling, simulation, and execution of complex cybersecurity scenarios within the Norwegian Cyber Range (NCR). The research aims to investigate how cascading cyber effects can be represented and executed across interconnected digital environments, including both IT and Operational Technology (OT) systems. Building on the Norwegian Cyber Range's existing capabilities, the project will explore new methods for representing system dependencies, designing realistic cyber scenarios, and evaluating cyber resilience through automated and scalable cyber range exercises.The project provides flexibility for the successful candidate to shape the research direction within the broader topicResearch Objectives and ContributionsRO1: Develop methods for modelling dependencies and cascading cyber effects in interconnected systems. The research will investigate approaches for representing how cyber incidents propagate across complex infrastructures and how these dependencies influence system resilience.RO2: Explore techniques for describing and executing realistic cascading cyber scenarios within a cyber range environment. This includes extending or adapting existing scenario modelling approaches to support increasingly complex cybersecurity exercises.RO3: Investigate simulation and predictive modelling approaches for analysing cascading cyber threats and evaluating the resilience of interconnected systems under different attack conditions.RO4: Validate the proposed modelling and execution framework through implementation and experimentation in the Norwegian Cyber Range, assessing its applicability for cybersecurity training, research, and resilience evaluation.Expected ContributionsThe project is expected to contribute to the advancement of cyber range technologies and cyber resilience research through:• Novel methods for modelling cascading cyber effects in interconnected systems.• Enhanced capabilities for designing and executing complex cybersecurity scenarios in cyber ranges.• New approaches for analysing and evaluating cyber resilience through simulation and experimentation.• Open research outputs, including software components, models, datasets, or methodologies that support future cyber range research and education.Relevant ResoursesNorwegian Cyber RangeModeling and executing cyber security exercise scenarios in cyber ranges Cyber ranges and security testbeds Evaluating ASCERT: generative AI for cyber-range scenario generationA Design Science Approach to Bridging Operational Cyber Detection and Strategic Crisis ManagementDuties of the positionComplete doctoral education and obtain a doctorateCarry out research of good quality within the framework described aboveAcademic publications and popular science disseminationParticipate in the research group eHealth and System Security Group HS2GParticipate in international activities such as conferencesTeaching responsibilities, as well as other career-enhancing workRequired selection criteria You must meet the requirements for admission to the faculty's Doctoral Programme (link), see Section 6-1 of the PhD regulations for more information.You must have a relevant Master's degree in Computer Science, Cyber Security, or an equivalent field. Your degree must include a major independent project (minimum 30 ECTS) equivalent to a master’s thesisYou must have a strong and relevant academic background from your previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker academic background, you may be considered if you can document that you are exceptionally suited for a PhD education, for example through relevant work experience and/or peer-reviewed academic works.Excellent oral and written presentation skills in English (C1-C2 level)The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position.Preferred selection criteriaStrong motivation for pursuing doctoral research in cybersecurityExperience in cybersecurity, cyber ranges, Capture-the-Flag (CTF), or related practical security activitiesExperience with programming, system development, or data-driven approaches in cybersecurity is an advantage. Relevant cybersecurity certifications (e.g., OSCP, OSCE, or SANS) are considered a plusNorwegian/Scandinavian language (please state your level)Personal characteristicsTo complete a doctoral degree (PhD), it is important that you are able to: work independently and take initiative in researchcollaborate effectively in an interdisciplinary research teammotivated to communicate research findings through writing and presentations.Emphasis will be placed on personal suitability.We offerAn exciting job with an important mission in societyDeveloping tasks in a strong and international professional environmentCareer guidance and follow-up during the PhD periodOpen and inclusive working environment with committed colleaguesWorking capital that can be used to implement the projectMentor programme as a new employee at NTNUFavorable terms as a member of the Norwegian Public Service Pension Fund (SPK) Free Norwegian language training at a basic level (A2)As a PhD research fellow at NTNU, you will have access to employee benefits.DiversityDiversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values ​​are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse, and gender-balanced is essential for us to achieve our goals. We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education. If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability, and cultural background, or whether you have been out of work for a period of time.At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality. Salary and conditionsIn the position of PhD research fellow, code 1017, your gross salary will normally be NOK 580 000,- per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary. The employment period is 3 years for the doctoral work in addition to 12 months of career promotion work, totally 4 years.The successful candidate will be granted conditional admission to the relevant doctoral programme when employed in the PhD research fellow position. It is a prerequisite for continued employment that the requirements for full admission are met within three months, and that you continue to participate in the organized doctoral programme for the remainder of the employment period. For more information about the requirements for full admission, please see Section 6 of the PhD regulations. As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them.For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to be in conflict with the criteria in the latter act, will not be able to be employed. About the applicationThe application and all required attachments must be sent electronically via Jobbnorge.no before the deadline. The documents must be in English or Norwegian/another Scandinavian languagePlease note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. If you are invited for an interview, you must present certified copies of certificates and diplomas upon request.The application must include:A cover letter describing your motivation for the position, relevant experience, research interests, and how your background fits the PhD project.Transcripts and diplomas for Bachelor's and Master's degrees, including diploma supplementCV filled out in JobbnorgeCopy of Master's thesis. If you have recently submitted your Master's thesis, you can attach a draft of the thesis. Documentation of a completed Master's degree must be presented before taking up the position.Project outline containing proposals for an overall description of research questions, theoretical perspectives, methodological design for the project and progress plan (maximum 1500 words/4 pages) (decide on what must be required of a project description/outline, including length and scope and include a link if the programme has its own template)Short letter of motivation (400 words/1 page)Any publications or other relevant research workAny relevant certificatesNames and contact information of three relevant refereesIf all, or parts of, your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both Bachelor's and Master's education, in addition to other higher education. If your institution does not offer “diploma supplement”, you must attach information about the grading scale from the education institution. We further recommend that you enclose a statement about your education abroad from the Norwegian Directorate for Higher Education and Skills (HK-dir). Follow the link to their web site for more information about how to obtain such a statement: Apply for recognition of foreign higher education. See also NTNU’s web site for documentation requirements for education obtained outside Norway. When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions, and potential for research will also count when assessing the candidates.NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission).General informationA public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the exemption is not granted.If you have any questions about the position, please contact Associate Professor Muhammad M. Yamin, email: [email protected]. If you have any questions about the recruitment process, please contact HR Katrine Rennan, e-mail: [email protected] deadline: 04.10.2026.For practical information about working at NTNU, please visit this webpage. The city of Gjøvik has a population of 30 000 and is a town known for its rich music and cultural life. Gjøvik combines the best of urban life and natural experiences. Here, you'll find a dynamic business environment and exciting career opportunities in a setting that values work-life balance. The beautiful nature surrounding the city is ideal for an active outdoor life.The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind.Om arbeidsgiveren:NTNU - knowledge for a better world The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.Department of Information Security and Communication Technology Research is vital to the security of our society. We teach and conduct research in cyber security, information security, communications networks and networked services. Our areas of expertise include biometrics, cyber defence, cryptography, digital forensics, security in e-health and welfare technology, intelligent transportation systems and malware. The Department of Information Security and Communication Technology is one of seven departments in the Faculty of Information Technology and Electrical Engineering .
  • GJØVIK
  • September 7
PhD Candidate to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. Research involves simulation, software development, and validation in the Norwegian Cyber Range. Requires a relevant Master's degree and strong English skills.
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  • This is NTNUNTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.You will find more information about working at NTNU and the application process here. Video: https://youtu.be/Xt-yHCN5QS0About the positionWe have a vacancy for a PhD candidate in machine learning at the Department of Computer Science (IDI), NTNU, Gjøvik. The position is a three-year full-time doctoral appointment and will be based at Gjøvik campus.Are you motivated to take a step towards a doctorate and open up exciting career opportunities?As a PhD candidate with us, you will work towards your doctorate in a strong international research environment and gain experience that supports a future career in higher education, research, or knowledge-intensive industry. The position reports to the Unit Leader of Colorlab.About the projectThe research will address the growing need for reliable methods that can assess the authenticity of visual media and provide understandable evidence for model decisions. The candidate will investigate how general-purpose pretrained visual and multimodal representations can be adapted for analysing authentic, synthetic, and manipulated images or videos.The work will combine predictive performance with explainability, uncertainty estimation, robustness, and generalization. Attention will be paid to performance across datasets, content sources, generation methods, and real-world transformations such as compression, resizing, and re-encoding.The final scientific scope will be refined together with the successful candidate and in dialogue with the relevant academic and external research environments.Duties of the positionDevelop machine-learning methods for detecting, localizing, or characterizing synthetic and manipulated visual content.Study representations learned by large pretrained visual or multimodal encoders, including probing, adaptation, fusion, and efficient fine-tuning strategies.Design explanation methods that connect predictions to meaningful spatial, temporal, frequency-domain, semantic, or example-based evidence.Evaluate robustness and transfer to unseen datasets, content sources, and manipulation processes, including realistic post-processing and distribution shifts.Investigate uncertainty, calibration, and reliability measures that can support responsible human decision-making.Develop reproducible benchmarks and evaluation protocols covering predictive quality, explanation fidelity and stability, and computational efficiency.Publish results in peer-reviewed international venues and present the research at conferences, consortium meetings, and to interdisciplinary audiences.Participate in doctoral training, research-group activities, and collaboration with relevant academic and external research environments. Be prepared for changes to your work duties after employment.Required selection criteriaYou must meet the requirements for admission to the IE faculty's Doctoral Programme, see Section 6-1 of the PhD regulations for more information.You must have a master's degree or equivalent in computer science, artificial intelligence, machine learning, computer vision, or signal processing. The degree must include a substantial independent project equivalent to a master's thesis.You must have a strong and relevant academic background from your previous studies and have an average grade from your master's degree study, or equivalent education, equal to B or better compared with NTNU's grading scale. Applicants with a weaker academic background may be considered if they can document that they are exceptionally suited for PhD education, for example through relevant work experience and/or peer-reviewed academic work.You must have good knowledge of machine learning and deep learning, with a sound understanding of experimental research methodology documented through coursework, projects, or publications.You must have strong programming skills in Python and experience with a modern deep-learning framework such as PyTorch or TensorFlow.You must have good written and oral English communication skills.The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position.Preferred selection criteriaExperience with computer vision, video analysis, self-supervised learning, vision transformers, or multimodal learning.Experience with pretrained representation models, transfer learning, parameter-efficient adaptation, or representation probing.Knowledge of media forensics, synthetic-content analysis, manipulation localization, or related authenticity problems.Knowledge of explainable AI, uncertainty estimation, calibration, out-of-distribution detection, adversarial robustness, or causal analysis.Experience with causal inference, counterfactual explanations, or uncertainty quantification in deep learningEvidence of high quality scientific writing, publications, a strong master's thesis, research software, or relevant open-source contributions.Prior experience working across geographically distributed teams.Personal characteristicsTo complete a doctoral degree, it is important that you are able to:Show strong motivation for research and a willingness to engage deeply with challenging scientific questWork independently while contributing constructively to an interdisciplinary team.Work analytically, systematically, and reliably, with attention to scientific quality, reproducibility, and continuous learning.Communicate, present, and collaborate effectively, including explaining technical ideas clearly and presenting research results to interdisciplinary audiences and consortium partners. Emphasis will be placed on personal qualities.We offerStimulating research tasks at the intersection of machine learning, visual computing, and explainable AI.A strong international academic environment with access to relevant research infrastructure and expertise.Opportunities for collaboration, professional development, and participation in leading scientific venues.An open and inclusive working environment with committed colleaguesWorking capital that can be used to implement the projectCareer guidance and follow-up during the PhD periodFavorable terms as a member of the Norwegian Public Service Pension Fund (SPK)Free Norwegian language training at a basic level (A2)As a PhD Candidate at NTNU, you will have access to employee benefits.DiversityDiversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values ​​are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education. If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality. Salary and conditionsIn the position of PhD Candidate, code 1017, your gross salary will normally be NOK 580 000,-per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary.The employment period is three years, with the full period dedicated to doctoral work.For employment as a PhD candidate, it is a prerequisite that you gain admission to the relevant NTNU PhD programme within three months of your employment contract start date and participate in the organized doctoral programme throughout the period of employment.As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them.For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to bein conflict with the criteria in the latter act, will not be able to be employed.About the applicationThe application and supporting documents must be submitted electronically through Jobbnorge.no. The documents must be in English or a Norwegian/Scandinavian language.Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request.The application must include:All transcripts and diplomas for Bachelor's and Master's degrees, also diplomas supplement if you have this.CV.Copy of Master's thesis.Research plan containing proposals for an overall description of research questions, theoretical perspectives, methodological design for the project and progress plan (maximum 1500 words/4 pages).Short letter of motivation (400 words/1 page).Possibly publications etc. other relevant research work.Names and contact information of three relevant referees.If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both Bachelor's and Master's education, in addition to other higher education. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well.Joint work will be considered. If it is difficult to identify your contribution to joint work, you must attach a brief description of your participation.When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions, and potential for research will also count when assessing the candidates.NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission).General informationA public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the exemption is not granted.If you think this position looks interesting and in line with your qualifications, you are welcome to apply.If you have questions about the position, please contact Professor Kiran Raja, [+47 61135374 and [email protected]. If you have questions about the recruitment process, please contact HR, [email protected] deadline: 21.09.2026Gjøvik, a charming town by the shores of Lake Mjøsa, is known for its beautiful nature and rich cultural offerings. The town boasts a vibrant community with excellent schools, modern healthcare services, and a variety of recreational activities. With its strategic location, just a short drive from Oslo, Gjøvik combines the best of urban life and natural experiences. Here, you'll find a dynamic business environment and exciting career opportunities in a setting that values work-life balance. Om arbeidsgiveren:NTNU - knowledge for a better worldThe Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.Department of Computer Science We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department of Computer Science is one of seven departments in the Faculty of Information Technology and Electrical Engineering .
  • GJØVIK
  • September 4
PhD Candidate role in Explainable AI for Synthetic Media Analysis. Develop ML methods to assess visual media authenticity, combining predictive performance with explainability and uncertainty estimation. Requires a Master's in CS/AI/ML and strong Python/deep learning skills.
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  • This is NTNUNTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.You will find more information about working at NTNU and the application process here. Video: https://youtu.be/Xt-yHCN5QS0About the positionAre you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia.Department of Information Security and Communication Technology (IIK) at NTNU Gjøvik is seeking a highly motivated candidate for a full-time PhD position in Advanced Physical Security of Embedded Systems. You will become part of an active and interdisciplinary cybersecurity research environment and have the opportunity to collaborate with researchers working across hardware security, embedded systems, cybersecurity, and digital forensics.A significant part of the research will be carried out in the Hardware security and Reverse Engineering Laboratory (HRE Lab), providing the candidate with access to advanced experimental infrastructure and opportunities to contribute to the further development of the laboratory’s research and educational activities. You will work in a collaborative research environment with opportunities for scientific publications, international collaboration, conference participation, and development of hands-on experimental expertise.Your immediate leader will be the Head of Discipline. About the projectModern embedded systems increasingly rely on cryptographic implementations and hardware-supported security mechanisms to protect sensitive information, trusted operations, and critical functionality. While cryptographic algorithms and software-level protections may be theoretically secure, their physical implementation can introduce vulnerabilities that are not visible at the algorithmic level. Sensitive information may leak through power consumption, electromagnetic emissions, timing behaviour, memory or bus activity, while manipulation of voltage, clock, or electromagnetic conditions can cause security mechanisms to behave in unintended ways. At the same time, modern embedded architectures increasingly integrate processors, memories, peripherals, hardware accelerators, security components, and multiple clock and power domains. Interactions between these elements may introduce new and insufficiently understood physical attack surfaces, creating a need for more systematic methods to evaluate and assure the physical security of embedded systems.This PhD project aims to advance physical security evaluation and hardware security assurance for embedded systems by combining advanced side-channel analysis, fault-injection techniques, AI- and machine-learning-assisted analysis, robustness evaluation, and quantitative security assessment. The research will investigate how physical vulnerabilities arise, how to systematically discover and characterise them, and how to evaluate their practical security impact. This will include established and emerging physical attack mechanisms such as power and electromagnetic side channels, voltage/clock/EM fault injection, and combined attacks, as well as leakage and fault behaviour associated with timing and clock mechanisms, memory and buses, peripherals, hardware accelerators, cryptographic implementations, and interactions between architectural domains. AI and machine learning will be explored as enabling technologies for automated leakage detection and localization, analysis of complex measurements, fault-response characterization, intelligent exploration of large experimental spaces, and adaptive selection of security experiments.The research will be strongly experimental and will utilize the advanced side-channel analysis and fault-injection infrastructure available in the Hardware Reverse Engineering Laboratory (HRE Lab) at NTNU, together with its hardware analysis and reverse-engineering capabilities. The candidate will design and conduct controlled experiments to investigate vulnerability mechanisms, validate physical attacks, evaluate security countermeasures, and study whether security observations remain valid across different devices, implementations, operating conditions, and experimental configurations. Classical and emerging cryptographic implementations, secure embedded platforms, hardware accelerators, and post-quantum cryptographic implementations may be used as representative experimental targets where relevant. The candidate will also contribute to developing automated measurement and analysis workflows, benchmark implementations and datasets, reproducible experimental procedures, and reusable physical-security testbeds. This will strengthen the HRE Lab as a sustainable experimental platform for advanced hardware security research, future PhD and master’s projects, education, and collaborative research.The overall ambition is to move beyond individual demonstrations of whether a particular physical attack succeeds or fails toward robust, quantitative, and evidence-based hardware security assurance. The project will investigate how experimental evidence generated through side-channel analysis, fault injection, implementation analysis, robustness testing, and countermeasure evaluation can be transformed into measurable, reproducible, and traceable indicators of hardware security. Such evidence may characterise information leakage, attack effort and complexity, fault susceptibility, countermeasure effectiveness, robustness across devices and operating conditions, reproducibility, and the uncertainty and confidence associated with security conclusions. The longer-term goal is to establish scientific methods and experimental foundations that enable the security of hardware implementations to be systematically measured, compared, and supported by defensible evidence, thereby providing a foundation for future automated hardware security evaluation and quantitative assurance, as well as continued research, laboratory development, industry collaboration, and innovation in trustworthy embedded and cyber-physical systems.Duties of the positionComplete the doctoral education leading to a PhD degree, including required academic training corresponding to a minimum of 30 ECTS.Conduct high-quality experimental research in advanced physical security of embedded systems, including the design, implementation, and evaluation of side-channel analysis, fault-injection methods, emerging physical attack mechanisms, combined attacks, and relevant countermeasures.Develop AI/ML-assisted and quantitative approaches for hardware security evaluation and assurance, including automated experimentation and analysis, robustness and reproducibility assessment, and the development of reusable experimental platforms, datasets, methodologies, and testbeds within the HRE Lab.Publish research results in high-quality international peer-reviewed journals and conferences and contribute to relevant scientific and popular-science dissemination.Participate actively in the research group and department and engage in relevant international activities, including conferences, research collaboration, and research stays abroad.Contribute to teaching, supervision, assessment, and academic development activities according to the requirements of the position.Required selection criteriaYou must meet the requirements for admission to the faculty's Doctoral Programme, see Section 6-1 of the PhD regulations for more information.You must have a relevant Master's degree in in information security, cybersecurity, electronics engineering, electrical engineering, embedded systems, computer science, or a closely related discipline. Your degree must include a major independent project (minimum 30 ECTS) equivalent to a master’s thesis.Master students can apply, but the master's degree must be obtained and documented before starting the position. You must have a strong and relevant academic background from your previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker academic background, you may be considered if you can document that you are exceptionally suited for a PhD education, for example through relevant work experience and/or peer-reviewed academic works.Excellent oral and written presentation skills in English (C1-C2 level). The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position.Preferred selection criteriaExperience with side-channel analysis and/or fault-injection techniques.Hands-on experience with embedded systems, microcontrollers, FPGAs, or hardware-security platforms.Knowledge of cryptographic implementations and hardware-security countermeasures.Experience with hardware reverse engineering, debugging interfaces, or firmware analysis.Experience with machine learning, deep learning, signal processing, or data-driven security analysis.Previous research or experimental experience in hardware/embedded-system security, demonstrated through a thesis, project, publication, or relevant work.Norwegian/Scandinavian language (please state your level).Personal characteristicsTo complete a doctoral degree (PhD), it is important that you can: be highly motivated, scientifically curious, and interested in research with practical relevance.demonstrate independence, initiative, persistence, and strong problem-solving skills.be well-organised and systematic, particularly in experimental and laboratory-based research.be flexible, reliable, and able to work effectively both independently and as part of a team.communicate effectively and be motivated to disseminate research through scientific publications and international conferences.demonstrate integrity, responsibility, and openness to new research challenges.Emphasis will be placed on personal qualities.We offerAn exciting job with an important mission in societyDeveloping tasks in a strong and international professional environmentCareer guidance and follow-up during the PhD periodOpen and inclusive working environment with committed colleaguesWorking capital that can be used to implement the projectMentor programme as a new employee at NTNUFavorable terms as a member of the Norwegian Public Service Pension Fund (SPK)Free Norwegian language training at a basic level (A2)As a PhD Candidate at NTNU, you will have access to employee benefits.DiversityDiversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values ​​are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education. If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality. Salary and conditionsIn the position of PhD Candidate, code 1017, your gross salary will normally be NOK 580 000,- per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary. The employment period is 3 years for the doctoral work in addition to 12 months of career promotion work. A minimum of three work years of the total term period must be dedicated to the doctoral work.For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Information Security and Communication Technology within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment.As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them.For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to be in conflict with the criteria in the latter act, will not be able to be employed.About the applicationThe attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or English.Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request.The application must include:A cover letter describing your motivation for the position, relevant experience, research interests, and how your background fits the PhD project.CV Transcripts and diplomas for Bachelor's and Master's degrees. If you have not completed the master’s degree, you must submit a confirmation that the master’s thesis has been submitted.Copy of Master's thesis. If you have recently submitted your Master's thesis, you can attach a draft of the thesis. Documentation of a completed Master's degree must be presented before taking up the position.Project outline containing proposals for an overall description of research questions, theoretical perspectives, methodological design for the project and progress plan (maximum 1500 words/4 pages) Short letter of motivation (400 words/1 page)Possibly publications etc. other relevant research workPossibly certificatesNames and contact information of three relevant refereesIf all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both Bachelor's and Master's education, in addition to other higher education. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well.Joint work will be considered. If it is difficult to identify your contribution to joint work, you must attach a brief description of your participation.When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions, and potential for research will also count when assessing the candidates.NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission).General informationA public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the exemption is not granted.If you think this position looks interesting and in line with your qualifications, you are welcome to apply.If you have any questions about the position, please contact Associate Professor Dr Arvind Sharma, telephone +47 46710948, email: [email protected]. If you have any questions about the recruitment process, please contact HR Katrine Rennan, e-mail: [email protected] deadline: 1. October 2026.For practical information about working at NTNU, please visit this webpage. Gjøvik, a charming town by the shores of Lake Mjøsa, is known for its beautiful nature and rich cultural offerings. The town boasts a vibrant community with excellent schools, modern healthcare services, and a variety of recreational activities. With its strategic location, just a short drive from Oslo, Gjøvik combines the best of urban life and natural experiences. Here, you'll find a dynamic business environment and exciting career opportunities in a setting that values work-life balance. Om arbeidsgiveren:NTNU - knowledge for a better world The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.Department of Information Security and Communication Technology Research is vital to the security of our society. We teach and conduct research in cyber security, information security, communications networks and networked services. Our areas of expertise include biometrics, cyber defence, cryptography, digital forensics, security in e-health and welfare technology, intelligent transportation systems and malware. The Department of Information Security and Communication Technology is one of seven departments in the Faculty of Information Technology and Electrical Engineering .
  • GJØVIK
  • September 4
PhD Candidate role in Advanced Physical Security of Embedded Systems. Research involves side-channel analysis, fault-injection, and AI/ML for hardware security assurance. Requires relevant Master's degree and strong English skills.
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