Postdoctoral Research Fellow in Statistics and Data Science

University of Oslo

About the position ​ A three-year position as Postdoctoral Research Fellow in machine learning and artificial intelligence in epidemiology is available at the Department of Public Health and Interdisciplinary Health Science, Institute of Health and Society, Faculty of Medicine, University of Oslo. The position is linked to the project LINDA-FAMILIA – Implementation of an Integrated Digital Health System for Infectious Diseases in Maternal and Child Health in East Africa, a Horizon Europe/Global Health EDCTP3 project.  The postdoctoral fellow will contribute to a work package on clinical research co-led by the University of Oslo and the Uganda National Institute of Public Health. Up to 10% of the position will be devoted to career-promoting work, primarily teaching and supervision in machine learning and artificial intelligence for master students in epidemiology. About the project: ​ LINDA-FAMILIA will do research within digital eRegistries for reproductive, maternal, newborn and child health services in four regions in East Africa: Addis Ababa Region, Ethiopia; Eastern Province, Rwanda; Kilimanjaro Region, Tanzania; and Lango sub-Region, Uganda. The eRegistries are deployed to replace paper-based health information systems and support clinical care, disease surveillance and research through harmonized longitudinal individual-level data across the four countries. The systems include clinical decision support, referral coordination, targeted client communication, data management and interoperability. The project will demonstrate the scientific value of these routinely collected real-world eRegistry data for multi-country clinical and epidemiological research on poverty-related infectious diseases in maternal, perinatal, neonatal and child health. More about the position ​ The postdoctoral fellow will work at the interface of epidemiology, causal inference, prediction modelling, responsible AI, digital health and global maternal and child health. The work will include development and application of machine learning and AI methods to large-scale, longitudinal, routinely collected eRegistry data. The successful candidate will collaborate with researchers, PhD candidates, postdoctoral fellows, public health institutions and Ministries of Health in Ethiopia, Rwanda, Tanzania and Uganda, as well as partners in Europe. Some international travel for project meetings, workshops and collaboration with country teams should be expected. A career plan shall be developed for the Postdoctoral Fellow, specifying the competencies the Postdoctoral Fellow should acquire. UiO is responsible for following up on the career plan and ensuring that the Postdoctoral Fellow has access to career guidance throughout the postdoctoral term. Up to 10% of the position will be devoted to career-promoting work, primarily teaching and supervision in machine learning and artificial intelligence for master students in epidemiology. The duration of appointment is 3 years.  Your areas of responsibility will be ​ The successful candidate will: • Develop and apply machine learning and AI methods for epidemiological research using longitudinal eRegistry data. • Contribute to comparative epidemiological studies across countries and data systems. • Apply causal inference and targeted learning methods, including TMLE and Super Learner approaches where relevant. • Contribute to the development and validation of risk prediction models for severe maternal, perinatal, neonatal and child outcomes     related to poverty-related infectious diseases. • Contribute to geospatial epidemiology analyses using GIS-linked eRegistry data. • Develop reproducible R-based analysis pipelines, including support for DataSHIELD or other privacy-preserving/distributed analyses. • Contribute to data harmonization, data quality assessment, missing data strategies, data anonymization and data sharing procedures. • Contribute to protocols, statistical analysis plans and reporting for the registry-based cluster randomized trial of SMS and automated voice messaging reminders. • Collaborate with and support researchers in the partner countries, including training and capacity-building activities. • Publish results in peer-reviewed journals and present findings at international conferences and project meetings. • Contribute to teaching and supervision in machine learning and AI for master students. Qualifications ​ You must have​: • A degree equivalent to a Norwegian doctoral degree in epidemiology, biostatistics, statistics, machine learning, artificial intelligence, computer science, health data science, public health, medicine with strong quantitative methods, or a closely related field. • The doctoral dissertation must be submitted for evaluation by the application deadline. Appointment is dependent on the public defense of the doctoral thesis being approved before the start of employment. • Documented competence in statistical modelling, machine learning, artificial intelligence, causal inference, prediction modelling or related quantitative methods. • Experience with analysis of large, complex health data, such as longitudinal data, registry data, electronic health records, cohort data or trial data. • Strong programming skills in R, Python or equivalent scientific computing languages. Strong R skills are particularly relevant for this project. • Excellent written and oral communication skills in English.  Desired qualifications:​ Experience with one or more of the following will be considered an advantage: • Maternal, perinatal, neonatal or child health epidemiology. • Infectious disease epidemiology, poverty-related diseases or global health research in low- and middle-income countries. • Digital health, DHIS2, eRegistries, electronic health records or routine health information systems. • Targeted learning, TMLE, Super Learner, ensemble methods, causal machine learning or related methods. • Geospatial epidemiology and GIS methods. • DataSHIELD, federated learning or distributed multi-country data analysis. • Registry-based trials, cluster randomized trials or pragmatic trials. • Responsible AI, model validation, calibration, interpretability, bias assessment or fairness in health research. • Teaching or supervision in epidemiology, machine learning, AI, biostatistics or health data science. • Norwegian or another Scandinavian language is an advantage, but not a requirement. Personal qualities ​ We are looking for a candidate who:​ • Is motivated to develop an independent research profile in machine learning and AI for epidemiology. • Can work independently and systematically. • Has strong analytical and problem-solving skills. • Enjoys interdisciplinary and international collaboration. • Communicates well with researchers, clinicians, statisticians, software developers and public health partners. • Contributes to a collegial and inclusive working environment. Personal suitability will be emphasized. 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. We hope you will apply for the position with us.  We offer ​ •  A three-year postdoctoral position in an international and interdisciplinary research project. • Opportunity to develop an independent research profile in machine learning, AI and epidemiology. • Collaboration with research and public health partners in Norway, Ethiopia, Rwanda, Tanzania, Uganda and Europe. • Access to a large international project working with real-world maternal and child health data. • Career development support through the Faculty of Medicine’s postdoctoral program and an individual Career Development Plan. • Committed colleagues in a good working 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.  • Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes. • Salary in position as Postdoctoral Fellow, position code 1352 in                                                                salary range NOK from 610 000 to 720 000,​ depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund. • Oslo’s family-friendly environment with rich opportunities for culture and outdoor activities.Exciting and meaningful tasks in an organization with an important societal mission, contributing to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge-based societal development. Read more about the benefits of working in the public sector at Employer Portal. Application​ Your application should include: • Application letter. • CV. • A complete list of publications. • Project description. • Transcripts and certificates. • Contact information for 2-3 references. Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for the position". 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.  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. Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian) and Guidelines concerning appointment to recruitment positions at UiO.  The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.

University of Oslo

About the position​ We invite applications for a Postdoctoral Research Fellow position in Bioinformatics and Comparative Immunology, available at the Department of Biosciences. Starting date as soon as possible. The fellowship period is three years. A fourth year may be considered with a work-load of 25 % which is devoted to other career promoting work, usually in the form of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department. No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency in the course of their fellowship period within the duty component of 25 %. Place of work is Department of Bioscience in the new Life Science Building at Blindern, Oslo. Project description​ The successful candidate will join a multidisciplinary research group led by Professors Finn-Eirik Johansen (Department of Biosciences, Faculty of Mathematics and Natural Sciences) and Shuo-Wang Qiao (Institute of Clinical Medicine, Faculty of Medicine). The group’s main research focus is the unique immune system of the Atlantic cod, which is characterized by the evolutionary loss of MHC class II molecules and CD4 T cells — components that are essential for immunocompetence in other vertebrates, including humans. We combine classical molecular biology and experimental immunology with cutting-edge technologies, including modern high-throughput sequencing and bioinformatics. The project investigates the transcriptional profiles of Atlantic cod immune cells at the single-cell level and maps the immune receptor repertoires of cod B and T cells during homeostasis and in response to microbes, microbial products and vaccines. 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. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of the postdoctoral period. What skills are important in this role?​ 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 bioinformatics or immunology. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defence are eligible for appointment • Fluent oral and written communication skills in English • The candidate must have thorough understanding of data analysis of high-throughput sequencing data and significant experience in analysis of such data Desired qualifications:​ • Knowledge in comparative immunology is a clear advantage • Practical lab experience in molecular and cell biology and immunology is a clear advantage • FELASA C certification for animal work is an advantage • Experience in experimental procedures with fish is an advantage 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?​ We are looking for a highly motivated, collaborative and structured candidate with excellent communication skills who can work both independently and as part of a team. 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​ • Exciting and meaningful tasks in an organization with an important societal mission, contributing to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge-based societal development • Committed colleagues in a good working 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 • Postdoctoral development programmes. • Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes • 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, summarizing scientific work and research interest) • CV (summarizing education, positions, pedagogical experience, administrative experience and other qualifying activity) • Copies of educational certificates, academic transcript of records • A complete list of publications and up to 5 academic works 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 be 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) 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.

University of Oslo

About the position​ We are offering one PhD position with specialisation in either comparative politics, political data science, or public administration. The successful applicant will be part of the research project “Waging of War” (WOW), which is funded by the European Research Council. The PhD fellowship period is three years and devoted to carrying out research and pursuing a PhD in the context of the WOW project. The position may also include other career-enhancing activities: depending on the candidate’s competence and the teaching needs of the department, the fellowship period can be extended up to four years for qualification work consisting of e.g. teaching duties. The primary aims of WOW are to investigate how the organization of warring parties influences the conduct of war, and conversely, how the fighting impacts the organizational structure of the belligerents. WOW will theorize, identify, classify, and code the characteristics of state military organizations and non-state armed groups and collect data relating to the dynamics of warfare. We will answer questions such as: • How are wars fought? • How does the organization of a belligerent party affect the way they wage war? • How do the dynamics of the war affect the organization of the fighting parties? More information about the project can be found here: https://www.sv.uio.no/isv/english/research/projects/wow/index.html  The PhD Fellow is expected to develop a research project within the overarching thematic scope of the larger project, namely the organizational basis and conduct of warfare. While the PhD project should align with the framework of the main project, the candidate has significant flexibility to pursue their own approach and research agenda. The project proposal should above all include a tentative overall thematic and theoretical framework, along with at least three ideas for academic articles (see below).  The successful candidate will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political science. To promote a strategic career path, all PhD fellows are expected to submit a career development plan, specifying career goals and the competencies that the PhD fellow should acquire, no later than one month after commencement of the fellowship period. The department is responsible for ensuring that the plan is followed up and that the PhD fellow has access to career guidance throughout the duration of the fellowship. Qualification requirements​ Formal qualifications​ • Education equivalent to five years at university level in Norway, with two years (120 credits) at Master’s level in a relevant field. The MA thesis must be equivalent to at least half a year’s workload, i.e. 30 ECTS. • The Master’s degree must include relevant education in research methods or game theory. Other qualifications​ • Applicants must have a very good to excellent command of English (written and oral). • Language skills in other widely spoken languages, such as Arabic, French, Hindi, Mandarin, Russian, Portuguese, Spanish, and Swahili are an advantage, but not a requirement. • Applicants are required to possess robust empirical research knowledge within the realm of conflict research, and they must be well-trained in conducting either quantitative analyses or game theoretic analysis. • Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of applicants primarily hinges on their documented academic qualifications and the research proposal. During the initial screening phase, a strong emphasis is placed on formal qualifications and academic grades, where top-tier grades and a highly commendable MA thesis are generally prerequisites for shortlisting. In the subsequent phase, the importance of the research proposal increases significantly. Additionally, factors such as academic suitability, motivation, and alignment with the project team are considered.  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. The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds. If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage you to indicate this in the job application portal. 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 offer​ • Salary according to “SKO 1017 PhD fellow”, NOK 550 800-595 000 per year. • Personal research funds that can be used for e.g. travel and research assistance (currently NOK 35 000 per year). • A stimulating and international research environment with multiple research groups and seminar series. • Involvement in a large research project that provides opportunities to build a network with scholars researching political elites around the world, including an annual workshop on the topic. • A friendly and inclusive workplace allowing for a good work-life balance. • Attractive UiO welfare benefits • Access to Norway’s excellent public services and welfare schemes, including generous parental leave provisions and affordable and accessible childcare (including the University’s kindergarten). • Norway’s capital with its easy access to beautiful nature and rich cultural life. • Introduction course for PhD Fellows: Teaching as a PhD candidate • Annual career development conversation based on the submitted career plan.  • Various courses and workshops supporting career development (e.g., on dissemination and presentation skills, op-ed writing, and stress-management). • Financial and practical support for international staff moving to Norway (https://www.uio.no/english/about/jobs/ismo/) (international staff may also benefit from tax cuts in their first years) How to apply​ The application with attachments must be submitted in our electronic recruiting system. Please follow the link “apply for this job”. The online application must include the following items, which are to be submitted before the deadline (all documents should be in English or a Scandinavian language): • A cover letter (maximum 2 pages), including a statement of motivation • A research proposal (maximum 3,000 words including all references and footnotes - a word count must be provided on the front page). The proposal should clarify the research theme, main research questions, how the research contributes to existing literature and the project, theoretical approach, methodology, article ideas, and a timeline. A final research proposal must be developed in cooperation with the project leader within three months of the start date.  • A CV summarizing education, positions, research and pedagogical experience, administrative experience, and other qualifying activities. Career breaks, including parental leave, that are noted in the CV will be taken into consideration when evaluating applicants' academic record. • Copy of Master’s thesis (in English or in a Scandinavian language). • Copies of transcripts: All applicants must submit their Master’s degree diploma and transcript(s), preferably together with a class distribution of grades. The transcript must specify the grade achieved for the Master’s thesis. • Official explanation of the grading and credit system at your university (foreign applicants). • Names and contact details for 2-3 reference persons (name, relationship to candidate, e-mail, and phone number). Reference letters are not needed. The application deadline is September 1, 2026. The screening and evaluation of candidates will begin immediately. The most promising candidates will be invited for interviews. We expect the whole evaluation process, from the application date to an offer being made, to take 6 to 12 weeks, depending on the number of applications. The expected start date is January 2027 or earlier but is subject to negotiation.   Formal regulations​ 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. Please see the regulations concerning terms and conditions of employment for the posts of postdoctoral research fellow, research fellow, research assistant and resident - University of Oslo (uio.no) (https://www.uio.no/english/about/regulations/personnel/academic/regulations-employment-conditions-postdoc.html) 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 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.