Norges Teknisk-naturvitenskapelige Universitet Ntnu

Trondheim

<h2>This is NTNU</h2><p>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.</p><p>At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.</p><p>You will find more information about working at NTNU and the application process <a href="https://www.ntnu.edu/vacancies/" rel="nofollow">here.</a></p><p>   </p>Video: <a href="https://youtu.be/Xt-yHCN5QS0" rel="nofollow">https://youtu.be/Xt-yHCN5QS0</a><h2>About the position</h2><p>The Department of Mechanical and Industrial Engineering invites applications for a PhD position focused on developing a theoretical framework for monitoring and updating adaptive learning systems (including machine learning/artificial intelligence systems) under formal assurance principles. The project aims to establish scientifically grounded mechanisms that enable learning systems to remain inspectable, verifiable, and trustworthy throughout their operational lifecycle.</p><p>Adaptive learning systems evolve through continuous updating, which introduces new challenges in reliability and assurance. Traditional engineering methods assume relatively static system behavior, whereas modern learning systems exhibit non-stationary performance over time. This research seeks to bridge that gap by developing a foundational framework that integrates monitoring and updating, along with standard-grounded assurance principles into a coherent theoretical structure.</p><p>The PhD candidate will conduct fundamental research on how monitoring information can be used to evaluate adaptive learning system behavior in real time, how updating strategies can be formally constrained to preserve reliability properties, and how assurance concepts can be expressed in a way that is compatible with emerging standardization efforts. The emphasis is on mathematical modeling and quantitative indices, system-theoretic reasoning, and formal framework development rather than application-specific implementation.</p><p>You will address the following research challenges:</p><ul><li>Monitoring mechanisms enabling continuous inspection and verification</li><li>Theoretical foundations for updating mechanisms that preserve reliability and consistency</li><li>Formalization of assurance principles that support standardized and repeatable evaluation of adaptive systems</li><li>Integration of monitoring and updating into a lifecycle-oriented assurance framework</li></ul><p>The project represents an opportunity to contribute to the emerging scientific foundations of trustworthy adaptive systems, with long-term impact on how learning technologies are engineered, evaluated, and governed.</p><p>Your immediate leader will be the Head of Department.</p><br /><h2>Duties of the position</h2><ul><li>Participate in the mandatory PhD research education program</li><li>Conduct independent, high-quality research and publish in recognized international journals and conferences</li><li>Develop theoretical models, quantitative indices, and formal frameworks related to monitoring and updating adaptive systems</li><li>Assist in organizing and documenting research activities, including proposals and reports</li><li>Contribute to collaborative research activities within the RAMS group and department</li></ul><p>Be prepared for changes to your work duties after employment.</p><br /><h2>Required selection criteria</h2><ul><li>You must have a relevant Master&#39;s degree in Reliability, Availability, Maintainability, and Safety (RAMS) or Cybernetics or Computer/Information Science with a focus on Artificial Intelligence/Machine Learning or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master&#39;s level. Master students can apply, but the master&#39;s degree must be obtained and documented before starting the position.</li><li>You must have a strong academic background from your previous studies and have an average grade from your Master&#39;s degree study, or equivalent education, which is equal to B or better compared to <a href="https://i.ntnu.no/wiki/-/wiki/English/Grading&#43;scale" rel="nofollow">NTNU&#39;s grading scale</a>. 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 maybe considered if you can document that you are particularly suitable for a PhD education.</li><li>You must meet the requirements for admission to the <a href="https://www.ntnu.edu/iv/doctoral-programme" rel="nofollow">faculty&#39;s Doctoral Programme</a></li><li>Excellent written and oral English skills are required</li><li>Some knowledge or experience in safety and reliability engineering, such as standards or technical reports from ISO/IEC and the EU AI Act, is necessary</li><li>Familiarity with popular computer languages and popular tools such as Python, MATLAB, C&#43;&#43;, along with a strong willingness to learn more, is essential</li></ul><p>PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”.</p><p>The appointment is to be made in accordance with <a href="https://i.ntnu.no/wiki/-/wiki/English/NTNUs&#43;guidelines&#43;for&#43;recruitment&#43;positions&#43;" rel="nofollow">NTNUs guidelines for recruitment positions</a> and <a href="https://lovdata.no/dokument/SFE/forskrift/2018-12-05-1878" rel="nofollow">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)</a>for general criteria for the position.</p><br /><h2>Preferred selection criteria</h2><ul><li>Knowledge of digital assurance frameworks, verification methods, or formal modeling</li><li>Familiarity with adaptive or machine learning/artificial intelligence systems</li><li>Interest in standardization and structured evaluation methodologies</li><li>Experience with reliability or lifecycle modeling</li><li>Experience with application processes in the EU and NFR</li><li>Previous experience from industry or research in AI/machine learning (safety. This can be proven by the attendance of study courses or other relevant activities, such as a master’s thesis.</li></ul><br /><h2>Personal characteristics</h2><p>To complete a doctoral degree (PhD), it is important that you are able to: </p><ul><li>Work independently</li><li>Work in a structured way, set goals and make plans to achieve them</li><li>Present and discuss your research with other professionals</li><li>Get involved and contribute constructively with feedback</li><li>Work constructively under pressure or in the face of adversity </li><li>Show curiosity and a strong motivation for the subject</li><li>Analyze data, assess different perspectives and draw well-founded conclusions </li><li>Be flexible and open to adjusting the plan for the project as needed</li></ul><p>Emphasis will be placed on personal qualities.</p><br /><h2>We offer</h2><ul><li>An exciting job with an important <a href="https://www.ntnu.edu/vision-values-social-mission-key-challenges-and-main-objectives" rel="nofollow">mission</a> in society</li><li>Developing tasks in a strong and international professional environment</li><li>Career guidance and <a href="https://i.ntnu.no/wiki/-/wiki/English/Follow-up&#43;during&#43;the&#43;PhD&#43;period" rel="nofollow">follow-up during the PhD period</a></li><li>Open and inclusive working environment with committed colleagues</li><li><a href="https://i.ntnu.no/wiki/-/wiki/English/Working&#43;capital&#43;-&#43;PhD" rel="nofollow">Working capital</a> that can be used to implement the project</li><li><a href="https://i.ntnu.no/wiki/-/wiki/English/Mentor&#43;programme" rel="nofollow">Mentor programme</a> as a <a href="https://i.ntnu.no/ny-ved-ntnu" rel="nofollow">new employee at NTNU</a></li><li>Favorable terms as a member of the <a href="https://www.spk.no/en/membership-in-spk/" rel="nofollow">Norwegian Public Service Pension Fund (SPK)</a></li><li>Free Norwegian language training at a basic level <a href="https://prove.hkdir.no/en/language-levels" rel="nofollow">(A2)</a></li></ul><p>As a PhD Candidate at NTNU, you will have access to <a href="https://www.ntnu.edu/positions/employee-benefits" rel="nofollow">employee benefits</a>.</p><br /><h2>Diversity</h2><p>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&#39;s collective skills. Our vision is <a href="https://www.ntnu.edu/strategy-2018-2025" rel="nofollow">Knowledge for a better world</a> and <a href="https://www.ntnu.edu/vision-values-social-mission-key-challenges-and-main-objectives#values" rel="nofollow">our values ​​are creative, critical, constructive and respectful</a>. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. </p><p>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. </p><p>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.</p><p>At NTNU we want to increase the proportion of women in scientific positions. We have a number of <a href="https://www.ntnu.edu/genderequality" rel="nofollow">measures</a> to promote equality.</p><br /><h2>Salary and conditions</h2><p>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. </p><p>The employment period is 3 years.</p><p>For employment as a PhD Candidate, it is a prerequisite that you gain admission to the <a href="https://www.ntnu.edu/iv/doctoral-programme" rel="nofollow">PhD programme in Engineering</a> within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment.</p><p>As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them.</p><p>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.</p><p>The appointment is carried out in accordance with the principles of the <a href="https://lovdata.no/dokument/NL/lov/2017-06-16-67" rel="nofollow">State Employees Act</a>, and <a href="https://www.regjeringen.no/en/topics/foreign-affairs/export-control/id754301/" rel="nofollow">Export control</a> (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.</p><br /><h2>About the application</h2><p>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 English.</p><p>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.</p><p>The application must include:</p><ul><li>Transcripts and diplomas for Bachelor&#39;s and Master&#39;s degrees</li><li>CV </li><li>Copy of Master&#39;s thesis. If you have recently submitted your Master&#39;s thesis, you can attach a draft of the thesis. Documentation of a completed Master&#39;s degree must be presented before taking up the position.</li><li>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) </li><li>Short letter of motivation (400 words/1 page)</li><li>Possibly publications etc. other relevant research work</li><li>Possibly certificates</li><li>Names and contact information of three relevant referees</li></ul><p><br />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&#39;s and Master&#39;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 <a href="https://www.ntnu.no/stillinger/dokumentasjon-av-utenlandsk-utdanning" rel="nofollow">here</a>. If you already have a statement from <a href="https://hkdir.no/en" rel="nofollow">Norwegian Directorate for Higher Education and Skills (HK-dir)</a>, please attach this as well.</p><p><br />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.</p><p>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.<br /><br />NTNU recognizes a wide range of academic contributions and has committed itself to <a href="http://www.ascb.org/wp-content/uploads/2017/07/sfdora.pdf" rel="nofollow">The San Francisco Declaration on Research Assessment</a> and <a href="https://coara.eu/" rel="nofollow">CoARA</a> (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU&#39;s social mission).</p><br /><h2>General information</h2><p>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 <a href="https://lovdata.no/lov/2006-05-19-16/%C2%A725" rel="nofollow">current legislation</a>. You will be notified if the exemption is not granted.</p><p>If you think this position looks interesting and in line with your qualifications, you are welcome to apply.</p><p>If you have any questions about the position, please contact Professor Shen Yin, e-mail: shen.yin&#64;ntnu.no. </p><p>If you have any questions about the recruitment process, please contact HR Senior Consultant Hedda Winnberg, e-mail: hedda.winnberg&#64;ntnu.no.</p><p><strong>Application deadline: 08.03.2026</strong></p><p>-----------------</p><p>For practical information about <a href="https://www.ntnu.edu/nirs" rel="nofollow">working at NTNU, please visit this webpage. </a></p><p><a href="https://www.trondheim.kommune.no/english/" rel="nofollow"><strong>The city of Trondheim</strong></a> is a modern European city with a rich cultural scene. <a href="https://workintrondheim.no/" rel="nofollow">Trondheim is the tech capital of Norway</a> 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.</p><br />

PhD Candidate in Standard-Grounded Assurance of Adaptive Learning Systems