Doctoral student in Innovation Sciences

About the position​ Are you interested in Applied Artificial Intelligence, Education, and Medicine, and want to engage in research with skilled colleagues who share your interests? Maybe you can become our new colleague?  You will be affiliated with the PhD program in Technology at the Faculty of Technology, Natural Sciences and Maritime Sciences and formally employed at det USN School of business. The PhD research fellowship is for a fixed term of three years with organized research training and is available from 01.01.2027 (or earlier if possible).  It is a condition that the person who accepts the position applies for and is granted admission to the doctoral programme in Technology within three months of starting in the position. The doctoral program includes relevant courses corresponding to approximately six months of study (30 ETCS), a thesis based on independent research, active participation in national and international research environments, relevant research dissemination, a trial lecture and public defense of the thesis. Read more about organised research training at USN on our website. Your personnel manager will be Bjørn Hansen, the Head of Department of Business, History and Social Sciences, and your main supervisor will be Associate professor Katarina Mangaroska. The place of work will be at campus Vestfold. About the doctoral project​ The BRAIGED project aims to develop an explainable AI-driven educational diagnostic assistant enabling new research on how AI technologies create novel prerequisites, opportunities and challenges for learning, decision-making, and clinical reasoning in medicine. The project aims to move explainability beyond a purely technical feature and toward an interactive educational process that supports metacognitive reasoning, student agency, and responsible use of AI. The project will generate new knowledge and practical tools for implementing context-appropriate explainable AI solutions in medical education. A central use case is kidney disease (e.g., CKD) and clinical reasoning using renal scintigraphy imaging alongside tabular and textual clinical data. The project integrates experiential learning models and simulation-based learning scenarios, grounded in the paradoxical inquiry framework, to recognize and embrace contradictions inherent in AI-driven medical training. During the doctoral project, we expect you to​ • Complete the doctoral program and obtain the doctoral degree within the employment period • Conduct high-quality research within the framework of the BRAIGED project • Develop a theoretically grounded and methodologically rigorous PhD project related to responsible, explainable and governable AI in healthcare and medical education • Contribute to scholarly publications in high-quality international journals and conferences • Participate actively in the research group’s activities, including seminars, workshops, project meetings and collaborative research discussions • Participate in relevant courses offered through the doctoral program • Contribute to interdisciplinary collaboration with researchers, healthcare professionals, educators, students and other project partners involved in BRAIGED • Contribute to data collection and analysis (qualitative and quantitative): interviews, focus groups, surveys, usability studies and learning-scenario data • Develop and evaluate machine learning pipelines (including preprocessing, segmentation/feature extraction, model training and validation) • Design and test explainability methods  • Support the co-design and iterative prototyping of AI-driven educational diagnostic assistant tool  • Be prepared for changes in your work tasks after appointment Qualifications​ To be employed as a PhD candidate it is required that you have:  • Master’s degree (120 ECTS credits) (or equivalent qualifications) within Computer Science, AI, Data Science, Machine Learning; Biomedical Engineering, Medical Informatics; or a closely related discipline  • Documented knowledge of relevant methodologies, both quantitative and/or qualitative, at master’s level • Weighted average grade of B or higher on the master’s degree and thesis. The master’s degree must have been obtained by the application deadline for the position • Excellent written and oral English language skills (See “Requirements for proficiency in English) • Meet the formal requirements for admission to USN’s doctoral programmes and Faculty for Technology, Natural Sciences and Maritime’s doctoral programme in Technology no later than three months after starting in the position Personal qualities​ In order to be able to complete a doctoral degree within the deadline, you need to be able to: • Demonstrate motivation and potential for research in the field • Work independently, but also participate in teamwork •  Work in a structured way, set goals, and make plans to achieve them • Present and discuss your research with other academics • 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 • Have the academic skills and personal qualities to be able to complete the doctoral programme within the employment period • Be flexible and open to adjusting the project plan as necessary Requirements for proficiency in English ​ 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. Project description​ Applicants must submit a preliminary research proposal with the application. The project description for the research project should be short and concise, maximum 2–4 pages (600-1200 words). • Introduction (the title, main problem and research questions and the background to the project) • State of the art (the project’s research field) • Theory • Methodology • Work plan • Bibliography Applications with a project description exceeding 1200 words will not be processed. The project proposal will be included in the assessment of the applicant’s competence. The final project description and work plan will be prepared in consultation with the supervisor(s) during the first three months of the employment period. It is a prerequisite that you complete the project during the employment period. When assessing applications, particular importance will be attached to​ • Formal qualifications • The scientific quality, research relevance and degree of innovation of the project (see “Project description”) • The relevance of the project to the profile of the doctoral programme (see “Project description”) • The personal qualities mentioned above • Strong programming skills • Strong skills in data preprocessing and analysis • Competence in research methods (quantitative, qualitative, or mixed-methods). • Competence in developing and evaluating machine learning pipelines • Familiarity with computer vision and natural language processing • Familiarity with explainable AI techniques • Familiarity with UX research, prototyping, and usability evaluation • Familiarity with ethics and governance for health and educational data  What we offer​ • Organised research training in a large undertaking with an important social mission • Careers advice and guidance throughout the entire doctoral programme. 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 to take Norwegian language courses • Salary in accordance with the Norwegian State salary scale for PhD research fellows (position code 1017) NOK 550,800. In special cases, code 1378 may be used. 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 that diversity is a resource in our work and learning environment. Different experiences and backgrounds contribute to different perspectives and better solutions to challenges that need to be solved.  We are committed to respecting each other's differences and will facilitate employees with disabilities. We take into account your needs and your situation in different phases of life.  If you find this position interesting, we encourage you to apply, regardless of gender, disability, cultural background or whether you have been out of work for a period of time.  If there are qualified applicants with disabilities, gaps in their CV or an immigrant background, we will call at least one applicant in each of these groups for an interview. If you recognize yourself in one of these categories, you can tick the box in our job search portal.  Welcome to USN​ 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/898549899/60305e2540General information​ The Appointment Committee for Fellowship Positions (TUS) is the appointing authority for this position. Your competence for the position will be assessed by an expert committee. The expert committee will assess your competence for the position based on the documentation you have registered in Jobbnorge.  Based on the expert committee’s assessment, relevant applicants will be invited to an interview and to hold a trial lecture. 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. The University’s Guidelines for recruitment positions at the University of South-Eastern Norway ​provide a more detailed description of the criteria for appointment as a PhD research fellow.  As an employee of USN, you must at all times adapt to changes in the field and all organisational changes that are adopted. How to apply​ If you think this position looks interesting and matches your qualifications, you can submit an application electronically.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:​ • Certified diplomas for your bachelor’s and master’s degrees (120 ECTS). The 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 (e-mail) or decision when applying. The approval must be forwarded once available and is a requirement for employment. • An explanation of the grading system for foreign education (diploma supplement if available) • Your master’s thesis. If your master’s thesis was a collaborative project, you must submit a short statement detailing your involvement • Other relevant certificates and diplomas • 2–4 pages project proposal describing the doctoral project  • A personal statement explaining your motivation for the position • Documentation of your English language skills (See “Requirements for proficiency in English) • List of any scholarly publications with reference for what sections in those papers the student produced/worked on • 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.  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:​ Assosiate Professor Katerina Mangaroska katerina.mangaroska@usn.no For questions regarding the recruitment process:​ HR-advicer Kari Ann Sommerset ksom@usn.no.

About the position​ A PhD Research Fellowships is available at the Department of Mathematics, University of Oslo (UiO), in the research group of Prof. Andreas Carlson. Starting date as soon as possible, latest by January 1, 2027. The fellowship period is three years. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. The position is associated with projects funded by the Research Council of Norway (HAIRY, LUBRIBOT) and the European Research Council (TWIST). The research will provide a fundamental understanding of the physical processes that arise when droplets interact with soft fibres of complex geometry. A central focus is to develop a new understanding of droplet wetting on fibrous structures, as well as the coupling between active surface properties (and their temporal changes) and external driving mechanisms/forces. This will be achieved through design of new experiments, as well as developing new theoretical understanding of the flow physics. The projects aim to design and investigate new fibre and surface geometries for flow control and for applications such as water harvesting from atmospheric fog. The physical designs will be partly bio-inspired and will emphasize sustainability. The projects offer opportunities to collaborate with both national and international collaborators. The PhD student will:  • Develop experiments of droplet flow and wetting on twisted fibers and on soft materials. • Be directly involved in integrating experiments and theoretical  prediction. • Develop a new understanding of the fundamental flow physics through theoretical and/or numerical work. • Develop independence and be self-driven to advance with their research project. • Work in an interdisciplinary team with expertise in mechanics, complex fluids, physics and biophysics and sustainability thinking. • Follow our PhD program that include an educational component. This position is well suited for candidates who are highly motivated by fundamental science and excited about questions related to capillary flows, droplets, fluid–structure interactions and interfacial fluid mechanics. You should be strongly self-driven, genuinely interested in an academic career, and eager to develop independence in your research. The PhD fellow will join an international and interdisciplinary research group. 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 Master’s degree or equivalent in mechanics, fluid mechanics, physics or applied mathematics. • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system. • Excellent oral and written communication skills in English. • A strong theoretical educational background in mathematics, continuum mechanics and fluid mechanics. • Good social and collaboration skills, as well as the ability to work independently. Desired qualifications:​ • Earlier involvement in research projects in fluid mechanics or droplets will also be considered positively, as well as experience with programming or experiments. Language requirement:​ • Fluent oral and written communication skills in English • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements:​ The norm is as follows: • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system • The Master’s thesis must have the grade B or better in the Norwegian educational system The purpose of the fellowship is research training leading to the successful com-pletion of a PhD degree. For more information see: Supplementary Regulations at the Faculty of Mathematics and Natural Sci-ences to the Regulations for the Degree of Philosophiae Doctor (PhD) at the University of Oslo - The Faculty of Mathematics and Natural Sciences All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation, the Sanctions regulation, and the national security regulation. What are we looking for in you?​ Personal skills:​ • Ability to work both independently and as part of a team • Ability to work precise in a structured manner and swiftly adapts to new tasks • Good communication and collaboration skills • Positive attitude and the ability to handle hectic periods Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal qualifications. We can offer you​ • A pleasant 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 PhD Research Fellow, position code 1017 in salary range NOK from 550 800 - 595 000, 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 (max 1 page) • CV (summarizing education, positions and academic work - scientific publications) • Transcripts of records, copies of the original Bachelor’s and Master’s degree diploma (see below) • Documentation of English proficiency if applicable • 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". Foreign applicants should attach an official explanation of their University's grading system. 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. Contact information​ Professor Andreas Carlson, phone: +47 22 85 72 23, web: https://acarlson-uio.github.io, email : acarlson@math.uio.no    For technical questions related to the application portal please contact HR adviser Ole Rustad, email: ole.rustad@mn.uio.no  General information​ The best qualified candidates will invited for interviews. 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.