Postdoctoral Research Fellow in Machine Learning and Artificial Intelligence in Epidemiology

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.

University of Oslo

About the position​ A three-year position as Postdoctoral Research Fellow inQuantum Machine Learning for Multimode Mechanics (QM3L / QuantERA 2025) is available at the Department of Physics.  Supervisors are Prof. Francesco Massel and Prof. Morten Hjorth-Jensen.  Starting date no later than January 1, 2027. No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo. Project description and work tasks​ The postdoctoral position is part of the QuantERA project ‘QM3L - Quantum protocols for Multimode Mechanics advanced by Machine Learning’, a European consortium combining theory, algorithms, and experiments on multimode mechanical quantum platforms (circuit quantum acoustodynamics with transmon–HBAR devices; HBAR arrays; microwave optomechanics). The postdoc will work at UiO with Massel and Hjorth-Jensen, focusing on theoretical and algorithmic developments that enable machine-learning-assisted discovery, control, and certification of complex multimode quantum states. The work will interface closely with experimental partners (ETH Zürich, Aalto University) and theory partners (TU Darmstadt, Palacký University). Main work tasks may include (depending on profile and project needs): • Develop ML-assisted Hamiltonian discovery/engineering methods for multimode bosonic and hybrid quantum systems (including open-system and non-Hermitian effects). • Design noise-resilient control and optimization strategies, including reinforcement learning (RL) and optimal control approaches for state preparation and measurement protocol design under hardware constraints. • Develop open-source software and documented benchmarks. • Co-author high-quality publications and contribute to consortium deliverables and reporting; participate in partner visits, workshops, and training activities. 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:​ • A degree equivalent to a Norwegian doctoral degree in physics, applied mathematics, computer science, or a closely related area. If the degree is not yet formally received, the doctoral dissertation must be submitted for evaluation by the application date. Only applicants with an approved doctoral thesis and public defence are eligible for appointment. • Strong background in at least two of the following: • quantum optics / quantum information / open quantum systems • quantum control / optimal control • machine learning (including deep learning and/or reinforcement learning) • numerical simulation of quantum dynamics • Proven programming skills (e.g., Python/Julia/C++), including experience with scientific computing tools • Ability to communicate research results clearly in written and oral English Desired qualifications:​ • Experience with reinforcement learning for physical control problems and/or sample-efficient optimization • Familiarity with continuous-variable/bosonic systems, non-Gaussian states, multimode entanglement, or Wigner-function methods • Experience with HPC workflows (cluster computing, GPU computing, reproducible pipelines) • Track record of collaborative work across theory/experiment or interdisciplinary teams 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:​ • Strong collaboration skills and willingness to work in an international consortium with frequent interactions across sites and disciplines • Ability to mentor students (informally or formally) and contribute to an inclusive working environment 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.  We especially encourage women to apply. 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 interests) • CV (summarizing education, positions, 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 invite applications for position as PhD Research Fellow in Multisensory Networked Interactions with Robotics Avatars available at Department of Informatics. The fellowship period is three years. Depending on the candidate and the teaching needs of the department, the fellowship period can be extended either for compulsory work consisting of e.g. teaching and supervision duties and research assistance up top four years. Starting date as soon as possible. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Place of work is the Department of Informatics at Blindern, Oslo. Job description​ The PhD fellowship position is located at the Department of Informatics and is hosted jointly by the Network and Distributed Systems Research Group and the Robotics and Intelligent Systems Research Group. The research groups consist of around 30 full- and part-time faculty members and several postdoctoral researchers and PhD students. The research groups conduct research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts. This position is part of the DRIVE project, funded by the Research Council of Norway (RCN) (2026-2030), focusing on brain-driven multi-sensory robotic avatars for remote collaborative physical work. The DRIVE project involves Simula Research Laboratory and University of Texas at Austin, USA, as partners. In addition, this PhD candidate will be able to participate and exploit synergies with the National AI Centre for AI and Creativity (MishMash), led by University of Oslo, funded by the RCN (2025-2030). The successful candidate will join the Sustainable Immersive Networking Lab (SINLAB), a multidisciplinary team working on systems that enable users to act in remote physical spaces and experience the effects of their actions through multimodal feedback (audio, video, haptics). While SINLAB addresses applications in health, industry, education, sports, entertainment and creative domains, the focus of the PhD candidate will be on remote collaborative physical work especially the real-time interaction among humans and between humans and a remote environment. The main challenge with such networked interactions is that haptic feedback has very stringent delay requirements as low as 20 milliseconds. Therefore, performing such actions remotely with both action and reaction traversing long distances is far beyond our technical capabilities today. Even the developments in 5G and beyond networks that specifically target significant latency reductions are not sufficient due to physical as well as resource limitations. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning models that forecast user actions and remote system responses across audio, video and haptic modalities, and (ii) jointly orchestrating network and computing resources to compensate for the gap between physical latency limits and human perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed computing, and exploiting mechanisms such as network slicing and multi-access edge computing. The overarching goal is to guarantee perceptual latency budgets and to devise embodiment recovery strategies when these budgets are exceeded, enabling consistent, realistic and cognitively coherent remote physical interaction with robotic avatars. 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:​ • Master’s degree or equivalent in informatics, computer science/engineering, electrical/electronic engineering, cybernetics, robotics or a closely related field • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system • Documented experience in computer networks especially in mobile networks and/or edge-cloud continuum • Document knowledge about the system performance evaluation of computer systems and networks for interactive applications, preferably with AR/VR/XR, robotics, haptics, multimodal or multimedia systems. Directly relevant areas are preferable • Documented knowledge in machine learning methods, especially hands-on experience with time series data • Documented hands-on programming experience • Fluent oral and written communication skills in English Candidates without a master’s degree have until June 30, 2026 to complete the final exam. Desired qualifications:​ • It is an advantage if the applicant has developed working systems, prototypes, or emulators • It is an advantage if the applicant has developed software in fields such as AR/VR/XR, robotics, haptics, multimedia systems or computer games requiring hand-eye-coordination • It is an advantage if the applicant has experience in resource allocation aspects of 5G/6G networks, or relevant technologies such as edge computing • It is an advantage to have experience with scientific writing and publication Language requirement:​ • Good 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 completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ 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:​ • The applicant must be comfortable and capable working in an open, interactive, collaborative work environment • The applicant must demonstrate the social responsibility and ethical awareness required to design, organize, and conduct user studies • The applicant must demonstrate good communication and collaboration skills • The applicant must demonstrate positive attitude and the ability to handle hectic periods • You are a person who prefers being present at work and actively contributes to the professional and social environment you are a part of 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 • CV (summarizing education, positions and academic work - scientific publications) • Transcripts of records, copies of the original Bachelor and Master’s degree diploma (see below) • Letters of recommendation • Documentation of English proficiency if applicable • List of publications and academic work (if any) 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". 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. 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.