PhD Fellow in Trustworthy Generative AI with Knowledge Verification

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  • Oslo
  • Fast
  • Fulltid
  • 20 dager siden
Oslo Metropolitan University is Norway's third largest university with 23,000 students and over 2,600 employees. We have campuses in central Oslo and at Romerike. OsloMet educates students and conducts research that contributes to the sustainability of the Norwegian welfare state and the metropolitan region.The Faculty of Technology, Art and Design (TKD) offers higher education and research and development (R&D) activities within technical subjects, arts and design. The Faculty has approximately 4.000 students and 400 staff members and is situated at Pilestredet Campus in downtown Oslo and at Kjeller Campus in Viken.The Department of Computer Science offers three bachelor’s degree programmes, a master’s degree programme, and is part of a cross-departmental PhD program. Academic staff at the department are pursuing research in a wide range of areas including computer science, the natural sciences, and innovation and management. Both students and researchers are also involved in an increasing number of interdisciplinary initiatives across the university.The Department of Computer Science at the Faculty of Technology, Art and Design (TKD) has a vacant PhD Fellowship position in Trustworthy Generative AI with Knowledge Verification.Your main duties and areas of responsibilityThis project pioneers a Neuro-Symbolic AI framework addressing the critical "hallucination" barrier in Generative AI (GenAI). Currently, GenAI models act as probabilistic black boxes, often producing plausible but factually incorrect information without source attribution. This poses unacceptable risks particularly in high-stakes domains, e.g., education, traffic safety, and renewable energy.
To address this, the project develops a generalisable neuro-symbolic verification framework, aiming at systematically transforming GenAI into auditable, verifiable, and socially responsible systems for High-Risk and Data-Scarce Domains. The project investigates hybrid frameworks where GenAI functions as semantic interpreters, while symbolic logic modules, reasoning over structured graphs or rules, act as a factual verifier.The PhD fellow will perform the following tasks: Framework Design & Implementation, Reasoning Algorithms Development, and Validation with use cases. The primary use case leverages an AI-enhanced web platform for North Sámi language learning. The PhD research will develop a modular verification engine integrated into the platform, to ensure AI-generated content is linguistically correct and culturally appropriate. Two additional use cases can be chosen to test the generalisability of the proposed framework: autonomous driving and information modelling for sustainability.The position is advertised as a 3-year position with 100% research, or a 4-year position with 75% research and 25% other career-advancing work. The goal must be to complete the PhD program/degree within the decided time frame. The decision on a 3- or 4-year position will be discussed as part of the interviews in the hiring process.As a PhD Fellow at OsloMet, you have the opportunity to .Qualification requirements
  • Master's degree in computer science, mathematics, engineering, or equivalent related disciplines. The degree must normally include 120 credits (ECTS). If the master’s degree includes fewer than 120 ECTS credits, the applicant must, by the application deadline, submit documentation confirming that the master’s degree qualifies for admission to doctoral studies in the country where it was awarded. All exams for the master's degree must be completed by 30 June 2026.
  • An academic profile aligned with the needs of the research group and the department.
  • For appointment to the position, the following grade requirements normally apply:
  • Minimum average grade B on subjects included in the master's degree.
  • Minimum grade B on the master's thesis.
  • Minimum average grade C on the subjects included in the bachelor's degree. If you have an integrated master's degree, the grades from the first three standard years of the degree will be assessed.
  • Exceptions to the grade requirements are provided on the doctoral programme’s website (
). * Written and oral proficiency in English (
)Admission to the PhD programme in Engineering Science ( ) at the Faculty of Technology, Art and Design is a prerequisite for employment in the position. An application for admission to the PhD programme must be submitted within three months of the start date.General criteria for appointment to teaching and research positions are set out in .It will be an advantage if you have
  • Documented strong competence in programming, for example in Python.
  • Strong analytical skills and mathematical background, with a keen interest in applying formal logic to generative models.
  • Familiarity with knowledge representation (e.g., knowledge graphs or semantic technologies), experience with formal reasoning is an advantage.
Personal qualities
  • Self-motivated and goal-oriented
  • Strong motivation to pursue and complete a doctoral degree.
  • Strong ability to follow through on tasks and projects
  • Ability to work both collaboratively and independently.
  • Strong analytical skills
  • Ability to think innovatively and contribute to development
Emphasis will be placed on personal suitability.It is important to OsloMet to reflect the population of our region, and all qualified candidates are welcome to apply. We make active endeavors to further develop OsloMet as an inclusive workplace and to make adaptations to the workplace where required. You are also welcome to apply for a position with us if you have had periods where you have not been in employment, education or training.We offer
  • Engaging work assignments within Norway's third largest university
  • Participation in research groups and a creative and inspiring academic community
  • Opportunities for academic development
  • Good welfare schemes and a wide range of sports and cultural offers
  • Loan and pension arrangements with the Norwegian Public Service Pension Fund
  • A workplace in the center of Oslo
The salary for the position is in accordance with the Basic Collective Agreement for state employees and OsloMets pay policy for PhD Candidate in code 1017, corresponding to 550 800 NOK per year. From the salary, 2% will be deducted in pension contributions for the Norwegian Public Service Pension Fund (SPK).The current workplace for the position is at the Pilestredet campus in Oslo. In connection with the establishment of the new campus in Lillestrøm, a change of workplace may become relevant at a later stage.Application ProcessIf you wish to apply for the position, you must do so through our recruitment system.
  • Please upload the following documents together by the application deadline:
application letter describing your motivation for the position * CV, reference letters, and all pages of certificates/diplomas for bachelor’s and master’s degrees. Foreign education should be pre-approved, and a letter of approval must be attached. Information is available via the following link:
  • If you have not completed your master’s degree at the time of application, you must upload a provisional transcript in English or a Scandinavian language from your university by the application deadline. It is desirable that you also include an overview of the courses/exams you plan to complete during spring 2026. Relevant candidates must submit an official confirmation from the educational institution by 30 June 2026 stating that all examinations for the master’s degree have been completed, including the master’s thesis. The official diploma and transcript must be submitted before taking up the position, no later than 1 October 2026. If your educational institution does not issue the official diploma by this deadline, you must submit documentation from the institution confirming that the master’s degree has been awarded by the same deadline.
  • master’s thesis
  • scientific works or a link to the full article, if relevant
  • a list of publications and presentations at international seminars/conferences, if relevant
  • preferably two references with contact information
We only consider applications submitted through our electronic recruitment system, and all documents must be uploaded for your application to be considered. The documents must be in a Scandinavian language or English. Translations must be authorized, and you will be asked to present originals if you are invited for an interview. OsloMet verifies documents to give candidates a proper evaluation and ensure fair competition. Incomplete applications will not be considered.For relevant positions, OsloMet conducts background checks of applicants in cooperation with an external provider, in order to verify information contained in available documents. Background checks are always carried out with the candidate’s consent, and employment in these positions is conditional upon an approved background check. Relevant applicants will receive further information about this.Other informationIf you would like more information about the position, feel free to contact:
  • Associate Professor Baifan Zhou, email:
  • Head of Group Ellen Sethov, email:
  • For administrative inquiries, please contact
Deadline for application: May 4th, 2026Ref: 26/05911OsloMet holds the EU certification HR Center of Excellence for Charter & Code supporting researchers in career development, mobility and employee rights. OsloMet has signed The Declaration on Research Assessment (DORA). DORA recognizes the need to improve the ways in which the outputs of scholarly research are evaluated. The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who are seen to be in conflict with the criteria in the latter law will not be considered for the position. Visit OsloMet at LinkedIn, Facebook, Instagram Ansettelsestype: fellow | Arbeidstid: heltid | Antall ledige stillinger: 1 | Arbeidsomfang: 100% | Sted: Oslo | Fylke: Oslo | Land: Norway | Referansenummer: 26/05911 | Kontakt: Ellen Sethov 99303093, Ellen Sethov 99303093, | Publisert: 2026-03-27 | Søknadsfrist: 2026-05-04

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