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Do you want to contribute to the development of knowledge, insight and solutions that are relevant to society and working life today and in the future?
We are looking for a Researcher within the field of AI Security and Privacy.
About the position
Are you interested in AI security and privacy, and do you want to engage in research together with skilled colleagues who share your interests? Maybe you can become our new colleague at the Department of Science and Industry Systems at the Faculty of Technology, Natural Sciences and Maritime Sciences. The position is a fixed-term, externally funded full-time position for a period of two years, with preferred start as soon as possible or by agreement.
Your personnel manager will be the Head of Department. It is a prerequisite that you live close by so that you can be present at, and available to, the academic environment at your workplace during ordinary working hours. The place of work will be at campus Kongsberg.
The position is externally funded with funding from the Research Council of Norway.
About the research project
UTOPIA – Understanding Threats and Optimizing Mitigation and Enabling Privacy-by-Design in AI – is a project funded by the Research Council of Norway. The project investigates how privacy and security threats affect AI systems, how such threats can be systematically characterized and evaluated, and how privacy-enhancing technologies can be designed and assessed to support trustworthy AI.
The project consortium includes the Norwegian Centre for E-health Research (NSE), the University of South-Eastern Norway (USN), and Rey Juan Carlos University (URJC), Spain. The overall project is coordinated by NSE.
This position at USN is connected to WP2, “Threat Modeling and Robustness Evaluation of AI Systems,” which is led at USN by Associate Professor Mohsen Toorani. The person appointed will contribute to research on the conditions under which privacy and security attacks succeed against AI systems across different training settings, model types, and data characteristics. This includes formalization of threat models and attack scenarios, critical assessment and development of metrics for evaluating AI robustness, and implementation of structured and reproducible pipelines for robustness evaluation. The work addresses representative attack classes such as membership inference, data extraction or reconstruction, and poisoning or backdoor attacks, and provides methodological foundations for later work packages in the project.
The person appointed will be affiliated with the cybersecurity and AI-related research activities at the Department of Science and Industry Systems at USN.
Duties
- Complete the research tasks assigned to the position within the employment period
- Conduct high-quality research within the framework described above
- Produce academic publications and popular science dissemination
- Collaborate closely with project partners and other members of the project team
- Contribute actively to project meetings, reporting activities, and other joint project tasks
- Participate in relevant national and international academic activities, such as conferences and workshops
- Be prepared for changes in your work tasks after appointment
Qualifications
All items are requirements, unless it is specified that they are preferred qualifications.
- Doctoral degree (or equivalent qualifications) in computer science, cybersecurity, artificial intelligence, machine learning, or a closely related field
- Documented research track record relevant to the planned WP2 activities, including research in one or more of the following areas: threat modelling, AI security and privacy, and adversarial machine learning
- Good programming skills and experience with empirical evaluation and reproducible research practices
- Excellent written and oral English language skills
The position may involve access to and handling of unclassified yet sensitive information requiring protection. The successful candidate must demonstrate a high degree of integrity, loyalty, and security awareness, and comply with applicable regulations and internal security procedures
The following qualifications will be considered an advantage:
- Experience with threat modelling methodologies, tools, or frameworks relevant to software or AI systems, such as STRIDE, attack trees, MITRE ATLAS, OWASP Threat Dragon, Microsoft Threat Modeling Tool, OWASP pytm, or related approaches
- Experience with privacy and security attacks against AI systems, such as membership inference, data extraction/reconstruction, poisoning or backdoor attacks, model inversion, or related topics
- Experience with Python and common machine learning and data science tools such as PyTorch, TensorFlow, Hugging Face, scikit-learn, experiment tracking tools, and version control
- Experience with LLM security/privacy, trustworthy AI evaluation, privacy-enhancing technologies, or federated learning
Personal qualities that we are looking for
To be able to complete the project, it is important that you can
- demonstrate motivation and potential for research in the field
- work independently and reliably, while contributing to teamwork and collaboration
- demonstrate professional conduct and respect for constructive working relationships
- be analytical, innovative and structured in your work
- present and discuss your research with other academics and professionals, and show that you have the ability to share and learn from the other members of the academic environment
- get involved and contribute constructively with feedback
- work constructively under pressure or in the face of adversity
- show curiosity and strong motivation for the subject area
- analyse data, assess different perspectives, and draw well-founded conclusions
- be flexible and open to adjusting the project plan as necessary
When assessing applicants, emphasis will be placed on
- Formal qualifications
- Relevant publications in journals, participation at conferences, etc.
- Submitted academic work
- The scientific quality, research relevance and degree of innovation of the submitted work and statement of project fit
- The relevance of the applicant’s profile to the research area and duties of the position
- International experience and networks
- Documented research track record and technical fit with the project, including experience in threat modelling, AI security and privacy, adversarial machine learning, and reproducible evaluation of AI systems
- The personal qualities mentioned above
Personal suitability and the personal qualities mentioned above will be assessed through the application, interviews, and reference checks.
Requirements for proficiency in English
This position requires good English language skills. International applicants must document this with a valid certificate from one of the following tests. Specific requirements regarding grades can be found on our webpage English requirement for programmes and subjects taught in English at USN.
- TOEFL – Test of English as a Foreign Language, Internet-Based Test (IBT)
- IELTS – International English Language Testing Service
- Certificate in Advanced English (CAE) or Certificate of Proficiency in English (CPE) from the University of Cambridge
- PTE Academic – Pearson Test of English Academic
The following applicants are exempt from the requirements listed above:
- Applicants with one year of completed university studies in Australia, Canada, Ireland, New Zealand, UK or USA
- Applicants who have completed a master’s degree with English as the language of instruction in an EU or EEA country
- Applicants who are exempt based on the Norwegian Directorate for Higher Education and Skills (HK-dir)’s GSU list (Higher Education Entrance Qualification for foreign applicants)
- Applicants from Norway can confirm their English language skills by submitting their upper secondary school diploma
What we offer
- Careers advice and guidance during the employment period. Together we will draw up a career plan that includes the skills and knowledge you will acquire
- An inclusive working environment with ambitious colleagues
- The opportunity during the employment period to acquire teaching qualifications that meet the requirements for employment as an associate professor, if you do not already possess such qualifications
- The opportunity to take Norwegian language courses
- Salary in accordance with the Norwegian State salary scale for Researcher (position code 1109), in the range 663 800 – 860 000. Any further increases in pay grade will be based on length of service in the position
- Deductions will be made from your salary in order to make statutory contributions to the Norwegian Public Service Pension Fund on your behalf
- Membership in the Norwegian Public Service Pension Fund, ensuring favourable pension, insurance and loan schemes
Diversity
We believe diversity is a strength in our work and learning environment. Different experiences and backgrounds contribute to better solutions for the challenges we aim to solve.
We are committed to respecting individual differences and accommodating employees with disabilities. We consider your needs and situation during different stages of life.
If this position interests you, we encourage you to apply regardless of gender, disability, cultural background, or whether you have had a career break.
Qualified candidates with disabilities, employment gaps, or immigrant backgrounds will be invited to an interview. If you identify with one of these groups, you may indicate this in our job portal.
General information
The Appointment Committee for Teaching and Research Positions (TUF) is the appointing authority for this position.
Relevant applicants will be invited to an interview. References will also be obtained for relevant candidates.
Employment at USN is carried out in accordance with the principles set out in the Norwegian Civil Service Act.
We are committed to adhering to the evaluation criteria for research quality laid down in The San Francisco Declaration on Research Assessment – DORA and the commitments in The Agreement on Reforming Research Assessment (CoARA) on a fairer, more holistic assessment of research and recognition of a broader range of research outputs and activities. This means that we attach importance to the quality, relevance and significance that can be documented in your scholarly work. Documentation of participation in research projects and research leadership and management will be taken into account in the assessment. We will attach greatest importance to your scholarly work from the past five years.
The University’s competence assessment matrix for teaching and research positions (USN-CAM) can be a useful tool in the work of documenting and reflecting on your competence in relation to the qualification criteria in the application.
As an employee of USN, you must at all times adapt to changes in the field and all organisational changes that are adopted.
There is no anticipated need for an extension or additional work assignments beyond the expiration of the external funding.
How to apply
If you think this position looks interesting and matches your qualifications, you can submit an application electronically by clicking on “Apply for the position” on this page. Here you will need to enter a short application text and information about your relevant education and work experience. In the application text, you must clearly describe your skills and motivation for the position.
The application must include:
- Documentation of a completed doctoral degree. All diplomas must be in a Scandinavian language or English
- Applicants with higher education completed outside Norway must provide documentation that the education has been recognised and approved by the Norwegian Directorate for Higher Education and Skills (HK-dir) You must submit your application for approval before the position’s application deadline. Attach a receipt or decision when applying. The approval must be forwarded once available and is a requirement for employment.
- Your CV with a complete overview of your education and experience
- Other relevant certificates and diplomas
- A statement of project fit of 2-4 pages (approximately 600-1200 words), describing your relevant research background, technical skills, motivation for the position, and fit with the planned WP2 activities.
- Documentation of your English language skills, where required under the rules stated above
- A complete list of your scholarly works with information about where they have been published. You can also upload/add links to up to five scholarly works, including your doctoral thesis or published monograph based on the thesis
- Contact information for up to three references
The application will be assessed based on the information available in Jobbnorge at the expiry of the application deadline. Make sure your application shows clearly how your skills and experience meet the competence requirements described in the job advertisement.
We take collaborative work into account. If it is difficult to identify your contribution to collaborative work, include a short statement detailing your involvement.
When assessing who is best qualified for the position, we attach weight to education, experience and personal qualities.
All documentation must be provided in a Scandinavian language or English. If the attachments exceed 30 MB in total, they must be compressed before uploading.
Please note that information about you as an applicant may be disclosed publicly even if you have requested not to be included on the public list of applicants (cf. Section 25 of the Norwegian Freedom of Information Act). You will be notified if your request for exemption from public disclosure is denied.
We only consider applications and attachments registered in Jobbnorge. On request, you must be able to provide certified copies of your documentation.
Contact information
For more information about the position, please contact:
Associate Professor Mohsen Toorani, +47 35 02 66 43, mohsen.toorani@usn.no
Head of Department Aida Omerovic, +47 35 95 26 53, aida.omerovic@usn.no
For questions regarding the recruitment process, please contact:
Advisor Tonje Holt Vøllestad, tonje.h.vollestad@usn.no
About us
The University of Southeastern Norway (USN) ranks as the country's fourth largest higher education institution. We are a vibrant community of approximately 18,000 students and 1,900 employees.
Video: https://vimeo.com/898549899/60305e2540Om arbeidsgiveren:
USN er universitet nær deg. Her jobber vi sammen for å finne løsninger. For lokalsamfunnet, verden og alle oss som bor her. På våre campuser fra fjord til fjell vil du jobbe i nærheten av hjemstedet ditt på sørøst-landet. Her gjør du en meningsfull jobb blant yrende studentliv og innovative forskningsmiljøer. Du får en arbeidsplass som er tett på de store samfunnsutfordringene – og samtidig nær løsningene på dem. Et arbeid vi gyver løs på med våre aller beste virkemidler: utdanning og forskning.
Vi tilbyr profesjonsorienterte og arbeidslivsrettede utdanninger, forskning og kunnskapsformidling med høy internasjonal kvalitet. Som ansatt får fordype deg i ditt eget felt, samtidig som du har tilgang til en buffet av muligheter for utvikling og læring.Gjennom de offisielle kanalene – og gjennom et nettverk av kunnskapsrike og rause kollegaer som kan mye om mangt.
USN er resultatet av fusjoner mellom tidligere høyskoler. Høyskolen i Sørøst-Norge ble dannet 1. januar 2016 da Høyskolen i Buskerud og Vestfold fusjonerte med Høyskolen i Telemark. Høyskolen fikk universitetsstatus i 2018. Rektoren vår heter Pia Cecilie Bing-Jonsson.
Les mer om hvordan det er å jobbe på Universitetet i Sørøst-Norge.
This is NTNU
NTNU 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
About the position
The Department of Information Security and Communication Technology invites applications for a PhD Research Fellow position in Quantum Internet Architecture and Protocol Stack. The successful candidate will be offered a 4‑year appointment that includes teaching responsibilities.
The PhD position will investigate the design of a scalable, interoperable, and resilient quantum internet architecture and protocol stack for real-world operation in hybrid quantum–classical networks across intra- and inter-domain settings. The candidate will study architectural models, including the placement and roles of quantum repeaters, memories, and control-plane functions, and how these integrate with classical networking and orchestration. The work will also explore operational control in quantum networks, including quantum-aware resource allocation, routing, scheduling, and fault tolerance, assessed using relevant quantum performance indicators such as entanglement latency/throughput, multi-hop fidelity, and entanglement swapping success.
A central focus is resilience and security, developing strategies and metrics to maintain dependable operation under failures, noise, and adversarial conditions, including measures such as QBER and detectability of eavesdropping. The expected outcome is a set of reference architectures, operational protocols, and resilience guidelines suitable for scientific publication and future deployment efforts.
Your immediate leader will be the Head of the Communication Technology Unit at the Department of Information Security and Communication Technology. The workplace will be located in Trondheim.
About the project
The PhD work will be carried out within the Centre for Quantum Communication Networks and Applications (QCNA) which is establishing Norway’s first experimental test network for quantum communication for accelerating research on quantum-secure communications and the future quantum internet. Within this context, the candidate will contribute to QCNA’s broader mission of developing next-generation quantum cryptographic protocols, investigating error-correction techniques for distributed quantum applications, and advancing architectures and protocols for the emerging quantum internet. The project will be embedded in a strong competence-building environment (training researchers, contributing to university courses, and industry upskilling) and a consortium including SimulaMet, SINTEF Digital, NTNU, Aalborg University, Okinawa Institute of Science and Technology, Telenor, and Toshiba Europe, offering an exceptional setting for impactful and collaborative PhD research.
Duties of the position
- Complete the doctoral training and successfully obtain a PhD degree
- Conduct high-quality research within the scope outlined for the position
- Publish scientific results in recognized venues and contribute to their public dissemination
- Actively participate in the Networking research group and its ongoing research activities
- Engage in international activities such as conferences and/or undertake research stays at foreign educational institutions
- Teaching and supporting of learning activities in courses related to networking
- Contribute to career-development activities that support your progress as an independent researcher
Be prepared for changes to your work duties after employment.
Required selection criteria
- Applicants must hold a relevant master’s degree in telecommunications, computer networks, computer science, or a closely related field, with a strong background in computer networking and distributed systems, including protocol stacks and network performance concepts. The degree must correspond to a five-year Norwegian degree programme, including 120 ECTS credits at the master’s level.
- Candidates who are currently completing a master’s degree may also apply, provided that the degree is completed and documented before the position begins, and no later than 1-st of November 2026. Eligible candidates may, where applicable, pursue an Integrated PhD programme. Further information is available on Integrated PhD.
- Applicants must have a strong 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 grade background, you may be considered if you can document that you are particularly suitable for a PhD education.
- Applicants must meet the requirements for admission to the to the PhD program in Information Security and Communication Technology.
- Applicants who do not master a Scandinavian language or are not native English speakers must provide evidence of good English language skills, written and spoken. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:
- TOEFL: 600 (paper-based test), 92 (Internet-based test).
- IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted).
- CAE/CPE: grade B or A
PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”.
The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU)for general criteria for the position.
Preferred selection criteria
- Knowledge of quantum communication / quantum information fundamentals (e.g., entanglement, fidelity/noise, quantum repeaters)
- Experience with network modelling, performance analysis, or simulation-based evaluation
- Background in optimization, resource allocation, scheduling, or graph-based network analysis
- Exposure to resilience, reliability engineering, or security analysis (including adversarial/threat modelling)
- Familiarity with quantum network simulation tools (e.g., NetSquid, SimulaQron) or related frameworks
- Good oral and written presentation skills in Norwegian/Scandinavian equivalent level
- A project outline containing proposals for an overall description of research questions, theoretical perspectives, methodological design for the project and progress plan (maximum 1000 words/3 pages)
Personal characteristics
We are looking for someone who:
- Is curious, structured, and able to work independently on complex research problems
- Collaborates well in interdisciplinary teams and contributes to a positive research environment
- Communicates clearly and enjoys scientific writing and dissemination
- Is motivated to build competence across networking, systems, and emerging quantum technologies
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability, as well as motivation, in terms of the qualifications specified in the advertisement.
We offer
- An exciting job with an important mission in society
- Developing tasks in a strong and international professional environment
- Career guidance and follow-up during the PhD period
- Open and inclusive working environment with committed colleagues
- Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK)
- Norwegian language training at a basic level (A2)
As a PhD Candidate at NTNU, you will have access to employee benefits.
Diversity
Diversity 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 conditions
In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 550 800,-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 4 years for the doctoral work including teaching duties. Integrated PhD study candidates are welcome to apply. More information on the Integrated PhD programme can be found here.
For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in [subject area] (link to possible website)within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment.
The position is conditional on external funding (remove if the position is not to be funded by external funds)
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 application
The 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:
- Transcripts and diplomas for Bachelor's and Master's degrees
- Curriculum Vitae (CV)
- 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.
- Short letter of motivation (400 words/1 page)
- Publications or other relevant research work (if applicable)
- Certificates or other relevant documentation (if applicable)
- Link(s) to public GitHub repositories or other code portfolios demonstrating relevant programming experience (e.g., in C++, Python, or Java) (if available)
- If the thesis has been recently submitted, a draft may be attached.
- 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 information
A 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 Besmir Tola, email: besmir.tola@ntnu.no.
If you have any questions about the recruitment process, please contact HR consultant Julie Lindland, email: julie.lindland@ntnu.no.
Application deadline: 29.05.2026.
For practical information about working at NTNU, please visit this webpage.
The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.
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 .