PhD Research Fellow in Statistics and Data Science

University of Oslo

About the position​ We invite applications for position as Postdoctoral Research Fellow in statistics and data science available at Department of Mathematics. Preferred starting date as soon as possible. The fellowship period is three years. No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo. The place of work is Department of mathematics at Blindern Campus, Oslo. The position is associated with the newly established Norwegian Maritime AI Centre (MAI), a national initiative for research, innovation, and education in artificial intelligence for the maritime sector. Here you will work together with students, PhD candidates and researchers, as well as world leading industry partners. The candidate will be affiliated with the Statistics and Data Science Section. The section is active in many areas of applied and theoretical statistics and data science, and is heavily involved in research at the crossing of statistics and machine learning. The focus of this postdoctoral fellowship is to conduct cutting-edge research on AI-based forecasting and analytics for shipbroking and maritime decision support. The aim is to develop and analyze advanced models that integrate heterogeneous maritime data sources - such as AIS, metocean, emissions, port, cargo, and business data - to improve predictions of costs, freight rates, delays, emissions, and port logistics. While strongly rooted in real-world industrial use cases, the position has a clear academic orientation to develop advanced models for data rich environments.  The successful candidate is expected to contribute to the methodological foundations of maritime AI, publish in leading international journals and conferences, and collaborate closely with MAI’s academic and industrial partners to advance safe, transparent, and trustworthy AI in the maritime sector.  The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia. In addition to the activities in MAI, the project will benefit from a large machine learning research environment in the Norwegian Center for Knowledge‑driven Machine Learning (Integreat) hosted by the Section for Statistics and Data Science at the Department of Mathematics.  Qualifications​ The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials. Required qualifications:​ • Applicants must hold a degree equivalent to a Norwegian doctoral degree in statistics, applied mathematics, machine learning, computer science, operations research or a similar field. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defense are eligible for appointment.  • The applicant is required to document that the degree corresponds to the profile of the post. • Documented knowledge of statistical theory and methods and core machine learning methods. • Documented Python programming skills. • Excellent skills in written and oral English. • The candidate's research proposal must be closely connected to the call and the research of MAI. • Personal suitability and motivation for the position. Desired qualifications (advantageous, but not necessary):​ • PhD thesis or later research relevant for the position. • Experience with interdisciplinary research, bridging the gap between academic methodological development and industrial applications. • Relevant experience with data from the maritime sector. The University of Oslo is subject to the Norwegian Security Act, which sets requirements for the handling of protected information, in addition to other relevant legislation on sensitive information. It is therefore a requirement for employment that the candidate is personally suitable from a security perspective. Please note that prospective candidates may be asked questions to determine this. Background checks may be performed. It is a requirement for this position that the candidate is eligible to receive a national security clearance at level K. What are we looking for in you?​ Personal skills: • Ability to work both independently and as part of a team • Ability to work precisely and in a structured manner, and to adapt quickly to new tasks • Good communication and collaboration skills • Positive attitude and the ability to handle hectic periods • Solution oriented Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal skills. We can offer you​ • A friendly and stimulating work environment • Good welfare schemes • Opportunity of up to 1.5 hours a week of exercise during working hours.  •  A workplace with good development and career opportunities • Career development programmes • Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities • Salary in position as Postdoctoral Fellow, position code 1352 in salary range NOK ​595 000 - 690 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund We need different perspectives in our work​ UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no. We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues, could you be the next one? We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures. If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here.  We hope you will apply for the position with us. How to apply​ The application must include:​ • Cover letter - statement of motivation and research interests • Curriculum Vitae (CV) summarizing education, positions, pedagogical experience, administrative experience, a complete list of publications and other qualifying activity  • One-page research proposal relevant to the position stating research questions and methodological approaches • Copies of educational certificates, academic transcript of records  • Documentation of English proficiency if applicable • A complete list of publications and up to 3 academic works (pdf files attached to the application or web links to open-access of full version of published papers) that the applicant wishes to be considered by the evaluation committee • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number) Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for this job". When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language. General information​ The best qualified candidates will invited for interviews. Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo. If an applicant has applied for and been granted funding for a fulltime research stay abroad while being employed as a Postdoctoral Research Fellow, the employment will be prolonged with the equivalent time as the research stay, but for no longer than of twelve months ( thus extending the employment to a maximum of four years) No one can be appointed twice as a Postdoctoral fellow financed with funds from The Research Council of Norway (NFR). Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we can't, you will hear from us. The University of Oslo has an agreement for all employees, aiming to secure rights to research results a.o.

Integreat -Norwegian Centre for Knowledge-driven Machine Learning

About the positions​ Interested in pursuing a PhD in machine learning in an interdisciplinary and collaborative environment in Norway? Integreat - Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo and UiT The Arctic University of Norway invites applications for eight PhD fellowships connected to interdisciplinary projects in knowledge-driven machine learning. Four of the positions are co-funded with TRUST - The Norwegian Centre for Trustworthy AI. Integreat and TRUST provide a broader interdisciplinary research environment, offering all recruited candidates access to complementary expertise, scientific activities, and national research networks. The purpose of the fellowships is research training leading to the successful completion of a PhD degree. Successful applicants will be enrolled in the PhD programme at the University of Oslo or UiT The Arctic University of Norway. Integreat brings together more than 100 researchers from mathematics, statistics, machine learning, logic, language technology, philosophy, and related fields. As a PhD fellow, you will become part of this interdisciplinary research community and work closely with researchers at different career stages across Integreat's partner institutions. You will also join an established cohort of early-career researchers and benefit from the centre's researcher development programme, including scientific seminars, interdisciplinary workshops, mentoring, career development activities, research mobility support, and social events.  The duration of each fellowship is specified in the individual project description. Most positions are three-year appointments. For selected projects, a four-year appointment may be offered, where the additional year is devoted to career-promoting tasks such as teaching, supervision, or other research-related duties outside the PhD project. Starting date by agreement, depending on the project. The place of work, either in Oslo or in Tromsø, is specified in each project description. Working language: English​ Integreat and TRUST​ About Integreat​ Integreat – Norwegian Centre for Knowledge-driven Machine Learning is a Centre of Excellence funded by the Research Council of Norway, with branches in Oslo at the University of Oslo and in Tromsø at UiT The Arctic University of Norway. Machine learning is a core driver of artificial intelligence (AI) and an increasingly important force in a digital and data-driven world. Integreat develops theories, methods, models, and algorithms that combine data with general or domain-specific knowledge, helping lay the foundations for the next generation of machine learning. Integreat projects aim for more accurate, more sustainable, more explainable, and more trustworthy machine learning, with quantified uncertainty. The centre brings together perspectives and methodologies from statistics, logic, language technology, theoretical computer science, ethics, and machine learning in new ways. Its research focuses on developing ground-breaking methods and theories for addressing fundamental challenges in science, technology, health, and society. Integreat draws on the research strengths of researchers and students from the departments of Mathematics, Informatics, and Philosophy, the Oslo Centre for Biostatistics and Epidemiology at UiO, the Norwegian Computing Center (NR), and the machine learning group at UiT, with members from the departments of Physics and Technology, Mathematics and Statistics, and Computer Science. About TRUST​ TRUST is a Norwegian research centre dedicated to building the foundations of trustworthy AI. Its mission is to enable AI systems that are accurate, interpretable, inclusive, fair, safe, sustainable, and well-governed. By uniting expertise from (i) machine learning, statistics, mathematics and data science, (ii) law, and social sciences, and (iii) philosophy, the centre seeks to produce ground-breaking results tested on real-world problems, including healthcare, mobility, governance, security, and climate resilience. In advancing trustworthy AI, TRUST will develop new AI technologies, support innovation, and investigate the societal consequences of AI, including the effects of AI on democracy, science, and the environment. With a consortium of over 70 partners from academia, industry, government and civil society in Norway and internationally, TRUST’s research is theoretical, methodological, legal, and empirical.  TRUST is funded by the Research Council of Norway and its public and private partners, and is led by the University of Oslo, SINTEF and the Norwegian Computing Center (NR).   Integreat and TRUST collaborate on selected research and training activities, creating opportunities for interaction across complementary research areas in machine learning and trustworthy AI. Through access to the scientific activities, expertise, and networks of both centres, recruited candidates will benefit from opportunities for scientific exchange, interdisciplinary collaboration, engagement with academic and non-academic partners, and participation in a wider national AI community. About Integreat​ See the information video for more information about Integreat. Video: https://www.youtube.com/shorts/-_I52cJHiW4Job description​ Integreat seeks to recruit fulltime PhD fellows for eight cross-disciplinary projects spanning machine learning, statistics, logic, language technology, and ethics. The projects address fundamental challenges in modern machine learning and contribute to developing new theoretical and methodological foundations for the field. As a PhD fellow, you will conduct independent research within one of the advertised projects under the supervision of leading researchers. You are expected to contribute actively to the research environment by participating in the centre's scientific activities, seminars, workshops, and collaborative initiatives. Detailed information about each project, including the host department, PhD programme, starting date, and project-specific qualification requirements, is provided below and in the links. Project descriptions​ Project 1:​ Predictive Bayesian inference and foundation models​ • Employment: University of Oslo, Department of Mathematics • PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences Starting date: not earlier than 2 January 2027 and preferably as soon as possible thereafter Project 2: Bridging logic, knowledge representation and learning​ • Employment: University of Oslo, Department of Informatics • PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences  Starting date: not earlier than 2 January 2027 and preferably as soon as possible thereafter Project 3: Data attribution for LLMs​ • Employment: University of Oslo, Department of Mathematics • PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences Starting date: preferably in 2026, by agreement Project 4: Measuring bias in VLMs​ • Employment: University of Oslo, Department of Informatics • PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences Starting date: preferably in 2026, by agreement Project 5: Models and dynamics of machine reasoning​ • Employment: UiT - The Arctic University of Norway, Department of Physics and Technology • PhD programme: UiT - The Arctic University of Norway, Faculty of Science and Technology Starting date: preferably in 2026, by agreement Project 6: Multi-agent knowledge bases​ • Employment: UiT - The Arctic University of Norway, Department of Physics and Technology • PhD programme: UiT - The Arctic University of Norway, Faculty of Science and Technology Starting date: preferably in 2026, by agreement Project 7: Probabilistic Representation Learning​ • Employment: UiT - The Arctic University of Norway, Department of Physics and Technology • PhD programme: UiT - The Arctic University of Norway, Faculty of Science and Technology Starting date: not earlier than 2 January 2027 and preferably as soon as possible thereafter Project 8: Structured VLMs: panoptic scene graphs for high-level reasoning​ • Employment: University of Oslo, Department of Informatics • PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences Starting date: not earlier than 2 January 2027 and preferably as soon as possible thereafter   Online information meeting​ We warmly invite prospective applicants to an online information meeting where representatives from Integreat and TRUST will introduce the research centres, present the PhD opportunities, and explain the application process. You will also have the opportunity to ask questions. Attendance is optional but strongly encouraged. • Date: Wednesday 22 July 2026 • Time: 19.00-20.00 CEST • https://uio.zoom.us/j/61927781301 Requirements​ Qualification requirements consist of three components:  (i) general qualification requirements applicable to all applicants, (ii) admission requirements for the relevant PhD programme, and (iii) project-specific requirements.  Applicants must satisfy all applicable requirements for every project they rank. Employment and admission to the PhD programme are conditional upon successful completion of the Master's degree and submission of official documentation confirming that the degree has been awarded. Applicants who are in the final stages of completing their Master's degree may still apply.  i​) General qualification requirements​ These are requirements applicable to all projects: • Master's degree, or equivalent, in a field relevant to the ranked project For candidates with a foreign completed degree (M.Sc.-level), it must correspond to a minimum of four years in the Norwegian educational system.  • Research interest in one or more of the research areas represented at Integreat, including machine learning, statistics, logic, language technology, ethics, mathematics, or another related field • Fluent oral and written communication skills in English ii)​ Project-specific requirements​ Each project has a set of project-specific qualification requirements that are necessary for successful completion of the project. Before ranking a project, applicants must review the corresponding project description and ensure that they satisfy the project-specific requirements.  iii) PhD programme admission requirements​ The purpose of the fellowships is research training leading to the successful completion of a PhD degree. Applicants must satisfy the admission requirements of the PhD programme associated with the project(s) they rank. University of Oslo ​ Applicants must satisfy the admission requirements of the PhD programme at the Faculty of Mathematics and Natural Sciences, University of Oslo. Education • Master's degree or equivalent education relevant to the ranked project(s). Foreign education will be assessed to determine whether it is equivalent to the relevant Norwegian degree requirements. Grade requirements • Bachelor's degree courses: average grade C or better • Master's degree courses: average grade B or better • Master's thesis: grade B or better For applicants with foreign education, grades will be assessed in relation to the Norwegian grading scale as part of the admission process. Further information about the UiO admission requirements UiT The Arctic University of Norway ​ Applicants must satisfy the admission requirements of the PhD programme at the Faculty of Science and Technology, UiT The Arctic University of Norway. Education • Bachelor's degree of 180 ECTS and Master's degree of 120 ECTS, or an integrated Master's degree of 300 ECTS. Grade requirements • Average grade C (strong 3.0) or better for the Master's degree. • The Master's degree must include an independent research project (e.g. Master's thesis). Foreign education will be assessed in accordance with UiT's admission requirements. Further information about the UiT admission requirements English language requirements​ • UiO regulations: English proficiency • UiT regulations: English proficiency Personal skills​ We are looking for candidates who are curious, motivated to learn, and interested in tackling challenging scientific questions. You should be able to work independently while also contributing actively to collaborative research activities and the broader research community. Integreat brings together researchers from different disciplines, institutions, and career stages. We value openness to new perspectives, effective communication, and a willingness to engage across disciplinary boundaries. We are looking for candidates who contribute positively to a supportive, inclusive, and respectful research environment. We need different perspectives in our work ​ UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no. We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues—could you be the next one? We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures. If you have an immigrant background, a disability, or CV gaps, we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here. Integreat is committed to equity, diversity, inclusion, and belonging, guided by our INTEGREAT principles (Integrity, Non-discrimination, Tact, Environment, Gratitude, Respect, Empathy, Accountability, Transparency). We embed these values in practice through inclusive hiring and structured evaluations, targeted mentoring and career development, and flexible work arrangements and accommodations to ensure everyone can thrive and contribute. We have a clear institutional commitment to gender equality and diversity, with dedicated initiatives and networks for women in science. We hope you will apply for the position with us.  Evaluation and selection process​ Applications will be evaluated by expert committees appointed by the participating institutions. Applicants will be assessed against the general qualification requirements, the admission requirements of the relevant PhD programme, and the project-specific requirements for each project they rank and other relevant formal national and institutional regulations. Applicants will be evaluated separately for each ranked project based on their academic qualifications and background, research experience, motivation, potential for research, and personal suitability for the project and research environment. Where relevant and with the applicant's consent, the evaluation committee may also consider an applicant for other projects included in the call if the applicant's qualifications and research interests are deemed to be a strong match. Shortlisted candidates will be invited to an online interview. References may be contacted as part of the final assessment. We offer​ Research environment and career development​ • A unique interdisciplinary research environment at the forefront of knowledge-driven machine learning. • Opportunities to develop independent research questions while collaborating with leading national and international researchers. • Structured career development, including an individual professional development plan throughout the PhD period. • Mentoring and support tailored to early-career researchers. • Research mobility funding supporting international collaboration and research stays. Working environment​ • A vibrant, international, and collaborative research community. • A friendly, inclusive, and supportive working environment that values diverse perspectives and interdisciplinary exchange. • A family-friendly and flexible workplace. We recognise that researchers have different life situations and actively support work-life balance through flexible working arrangements and consideration of caregiving responsibilities when planning conferences, research stays, and travel. Living in Norway​ • Family-friendly surroundings in Oslo and Tromsø, with excellent opportunities for culture, nature, and outdoor activities. • A generous public pension scheme and social benefits. • Full access to the Norwegian National Insurance Scheme and public healthcare. • A strong institutional commitment to gender equality, diversity, and inclusion, supported by dedicated initiatives and networks for women in science. If you have to relocate to Tromsø, the Faculty of Science and Technology may reimburse your moving costs. Further details regarding this matter will be made available if you receive an offer. Salary and employment​ • Salary as a PhD Research Fellow (position code 1017) in the range NOK 550 800–595 000 per year, depending on competence and prior relevant experience. A statutory contribution of 2% to the Norwegian Public Service Pension Fund is deducted from the salary. • For UiT positions (Projects 5–7), the starting salary is normally NOK 565 000 per year, with an annual salary increase of 3%. How to apply ​ • Submit one application through the electronic recruitment portal. • Rank at least one and up to three projects​ in order of preference to be considered.  • Upload all required documents in the original language together with an official translation into English or a Scandinavian language, where applicable. Applicants with foreign education are advised to provide an official explanation of their institution's grading system. Required documents ​ Name all files using this format: Surname-First name-DocumentType​ • Cover letter (DocumentType: CoverLetter)​ Describe your motivation, research interests, and interest in the selected project(s). • Curriculum Vitae (DocumentType: CV)​ Summary of your education, employment history, academic achievements, publications, and other relevant experience. • Official transcripts of records (DocumentType: BachelorTranscript and/or MasterTranscript)​ Include transcripts showing courses, credits, and grades, together with degree diplomas (DocumentType: BachelorDiploma and/or MasterDiploma) for Bachelor's and Master's degrees. • Master's thesis (DocumentType: MasterThesis)​ Upload your Master's thesis and any other academic work relevant to the application (DocumentType: AcademicWork). If your thesis has not yet been completed, upload a draft version. • Project-specific documentation (DocumentType: ProjectSpecificDocumentation)​ Documentation of qualifications required by the ranked project(s), where applicable. • Documentation of English proficiency (DocumentType: EnglishTest)​ Upload documentation of English proficiency, where applicable. • References (DocumentType: References)​ Provide the names and contact details of 2–3 references, including their relationship to the applicant, email address, and telephone number. Reference letters are not required. • Expected completion statement (DocumentType: ExpectedCompletionStatement)​ Required only for applicants who have not yet completed their Master's degree. Upload a statement from your supervisor or institution confirming the expected date of completion of the degree. Formal regulations​ Successful candidates will be employed by the relevant host institution and are subject to the regulations governing employment and doctoral education in the Norwegian public sector. All qualified candidates will be assessed in accordance with applicable national export control, sanctions, and security regulations. Appointment is subject to the outcome of these mandatory checks. Before commencement of employment, applicants must have completed their Master's degree and satisfy all relevant PhD admission requirements and be able to document that these requirements have been fulfilled, including any applicable English language requirements.  University of Oslo​ Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we can't, you will hear from us. Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian), Guidelines concerning appointment to post doctoral and research posts at UiO (Norwegian) and Regulations for the degree of Philosophiae Doctor (PhD) at the University of Oslo.   The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.   UiT The Arctic University of Norway​ Further information for applicants and relevant regulations are available on UiT's website.  A shorter period of appointment may be decided when the PhD Fellow has already completed parts of their research training programme or when the appointment is based on a previous qualifying position as PhD Fellow, research assistant, or the like in such a way that the total time used for research training amounts to three years.  We process personal data given in an application or CV in accordance with the Personal Data Act (Offentleglova). According to the Personal Data Act information about the applicant may be included in the public applicant list, also in cases where the applicant has requested nondisclosure. You will receive advance notification in the event of such publication, if you have requested non-disclosure.

University of Oslo

Job description​ Applicants are invited for a three to four-year full-time position as a PhD Research Fellow at the Centre for Research on Equality in Education (CREATE), University of Oslo, Norway. CREATE is an interdisciplinary Centre of Excellence funded by the Research Council of Norway with the objective of generating novel knowledge about how to reduce social inequality. The interdisciplinary center integrates researchers with substantive expertise from sociology, psychology, education, economics, and genetics, and methodological expertise from educational measurement, psychometrics, econometrics, statistics, and biostatistics.  More about the position​ CREATE is an interdisciplinary Centre of Excellence funded by the Research Council of Norway with the overall objective of generating novel knowledge about how to reduce social inequality. CREATE has three strands, and the PhD position belongs to Strand 1. Strand 1 aims to identify barriers to equality. Strand 1 further aims to test the generalizability of malleable factors hindering equality across countries and time. A malleable factor refers to variables that are within the control of schools and educational policy and would include for instance school factors (like school climate, teacher characteristics, teaching quality, student motivation and attitudes, student cognitive outcomes). International large-scale assessment (ILSA) like Trends in Mathematics and Science Study (TIMSS) may be used to make generalizable inferences across countries and time.  While the main focus of the PhD position lies in examining factors that may enhance equality across countries and over time, it is desirable to also examine these factors in-depth in the Norwegian context via qualitative approaches including for instance interviews, classrooms observations or similar.  The successful candidate will have the opportunity to define and pursue their own research interests that would cover both of these two aims within mathematics: 1) identifying factors that reduce the achievement gap in mathematics between advantaged and disadvantaged students,  and study their generalizability across countries and time, and 2) examine this/these factor(s) in depth in Norway with a qualitative approach (e.g. interviews or classroom observations). The PhD Fellow will be expected to be able to use advanced quantitative methods to analyze ILSA data. The successful candidate should have prior knowledge of quantitative methods and experience with the complex designs and data of ILSAs. The PhD Fellow will be embedded in the interdisciplinary Strand 1 group alongside researchers in sociology, psychology, education, economics, and related fields. We expect active participation in our strand and interdisciplinary center.  The position is a full-time position for a period of three years. If there is a good match between the candidate’s competence and the teaching needs at the Department of Teacher Education and School Research (ILS), then the position can be extended to four years with the 25% teaching duties, usually in the form of teaching, supervision, and assessment.  The PhD Fellow must take part in the faculty’s approved PhD program, and is expected to complete the project within the set fellowship period. The main purpose of the PhD fellowship is to qualify the candidate for a research career within or beyond academia.  To support a strategic and well-structured PhD trajectory, the PhD Fellow will be required to develop a career and competence development plan in dialogue with the supervisory team early in the appointment period. The successful candidate will receive close supervision and is encouraged to develop a strong international research profile through collaboration, conference participation, and research stays abroad. For more information, please see our web site.  Qualification requirements​ Applicants must satisfy the requirements for admission to the faculty´s PhD programme. This normally includes: • Applicants must hold a Master’s degree or equivalent in Education, Psychology, Economics, Sociology or other relevant fields  • A Master’s degree (120 ECTS) with a minimum grade B (ECTS grading scale) or equivalent. The master’s degree must include a thesis of at least 30 ECTS, with a minimum grade B • A Bachelor’s degree with a minimum grade C (ECTS grading scale) • For 5-year studies, the average grade must be C or better for the first three years, and B or better for the last two years (ECTS grading scale). The Master thesis must have been graded with a minimum grade B • Fluent oral and written communication skills in English and Norwegian  In the assessment of applications, emphasis will be placed on: • Familiarity with quantitative methodology and ILSAs Personal skills ​ We are looking for a motivated and engaged PhD fellow with strong potential for high-quality research. Personal suitability will be emphasized and assessed based on the following qualities: • Ability to work independently as well as collaboratively in interdisciplinary research team • Strong analytical and problem-solving skills • Ability to give and receive constructive scientific feedback • Structured, reliable, and results-oriented working style • Good communication and collaboration skills We need different perspectives in our work​ UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no. We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues—could you be the next one? We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures. If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here.  We hope you will apply for the position with us. We offer​ • Exciting and meaningful tasks in an organization with an important societal mission • Opportunity to work with world-class research data • Dedicated colleagues in a friendly and international research environment, recognized as a Centre of Excellence • Attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities • A workplace with good development and career opportunities • Salary NOK 550 800 - 594 000 per annum depending on qualifications in a position as PhD Research Fellow, (position code 1017). From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund How to apply and what to include in your application​ The application must include: • Cover letter (1 page), including statement of motivation • A project description, including progress plan (5-7 pages) and a short summary of research gaps, research questions the candidate regards relevant to pursue, theoretical and methodological approaches, and a progress plan for the PhD. As the candidate will carry out research in Strand 1, the project description is regarded more as a proof of the candidate’s ability to develop research ideas and scientific writing skills than a concrete plan for the research that will be carried out during the PhD period. Please see our guidelines.  • CV (summarizing education, positions, pedagogical experience, publications, and other relevant qualifying activity) • Copies of educational certificates (academic transcripts only). Foreign applicants must attach an explanation of their grading system • Documentation of English proficiency (for information on required documentation, see information on this webpage) • A copy of the Master thesis • A complete list of publications and academic works • List of reference persons: 2-3 references (name, relation to candidate, e-mail, and phone number) Incomplete applications will not be assessed. The application with attachments must be delivered in our electronic recruiting system Jobbnorge.  When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documents should be in English (or a Scandinavian language).  When evaluating the application, emphasis will be given to the project description and the applicant’s academic and personal prerequisites to carry out the project. Applicants may be called in for an interview.  Formal regulations​ Please see the guidelines and regulations for appointments to Research Fellowships, Regulations for the Act on universities and colleges chapter 3 (Norwegian) and Regulations for the degree of Philosophiae Doctor (PhD) at the University of Oslo. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we cannot, you will hear from us. The appointment may be shortened/given a more limited scope within the framework of the applicable guidelines on account of any previous employment in academic positions. The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.