PhD Research Fellow in computer science/AI for energy informatics

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.

University of Oslo

About the position​ We invite applications for a PhD Research Fellow position in Continuous Experience Recognition for Distributed Co-Creative Immersive Systems, available at the Department of Informatics as a member of the MishMash Centre for AI and Creativity. Starting date no later than February 2, 2027. 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 12 months.  No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.  Job description​ The position is part of MishMash Centre for AI and Creativity, which is a Norwegian AI centre funded by the Research Council of Norway (2025-2030). It comprises more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public and private sector partners. The primary objective of MishMash is to create, explore, and reflect on AI for, through, and in creative practices. MishMash researchers will develop innovative CoCreative AI systems, investigate AI’s impact on creative processes, educational strategies, and address AI’s ethical, cultural, legal, and societal implications in creative domains. See mishmash.no for more information. In addition, this PhD candidate will be able to participate and exploit synergies with the RCN-funded DRIVE project on brain-driven multi-sensory robotic avatars for remote collaborative physical work.  The PhD fellowship position is located at the University of Oslo’s Department of Informatics (IFI) and is hosted by the Network and Distributed Systems Research Group (ND) with co-supervision from IFI’s Machine Learning section and the University of Inland Norway’s research group for User Perception and Engagement in XR Experiences. ND conducts research in networks and distributed systems of all scales, multimedia and AR/VR/XR systems, robotics and machine learning, advancing general and fundamental scientific knowledge driven by specific applications.  The successful candidate will join ND’s the Sustainable Immersive Networking Lab (SINLAB), a multidisciplinary team working on systems that enable users to become immersed in remote physical environments, observe them, move in them, and physically act in them, and experience the effects of their actions through multimodal feedback (audio, video, haptics). SINLAB conducts holistic research on distributed, real-time interactive and immersive systems, in particular on enabling a first-person presence in remote, augmented and virtual spaces. We work on overcoming the challenges of limited temporal and spatial accuracy of such remote interactions. We pay particular attention to the exploration of potential and limitations arising from the use of AI-based methods in predictive feedback.  The successful candidate will: • explore how a combination of multimodal observation (audio, video, LIDAR, thermal vision) and physiological measurements (motion tracking, eye tracking, EMG, BCI, EDA, HRV) can be used to continuously​ assess the human experience of interaction quality, and  • how this assessment can be fed back into the AI-based predictor to tune its behaviour in real-time​ for a highly personalized and context-dependent experience.  This research will be conducted in collaboration with partners of the MishMash center. Specific applications in which the candidate will explore are (1) multimodal first-person presence in a remote environment through a robot, and (2) the co-creative collaboration between an embodied AI and one or more human musicians. Additionally, applicability to situational awareness and high-level control in control centers will be considered. 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, mathematics, music/media technology, electrical/electronic engineering, cybernetics, robotics or other field relevant for the position  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system  • Documented experience with designing and conducting user experience studies and quantitative performance evaluation  • Documented experience in 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 hands-on experience with machine learning methods, in particular for time series data • Documented hands-on programming experience  • Fluent oral and written communication skills in English Candidates without a master’s degree have until 31.12.2026 to complete the final exam. Desired qualifications:​ • It is a strong advantage to have command of a Scandinavian language due to the collaborative nature of the MishMash center • Documented experience in computer networks and/or distributed systems is a strong advantage • It is an advantage to be knowledgeable in non-AI statistics and mathematical modeling • 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 to have experience in AI-based time-series analysis, spatio-temporal prediction or situational awareness • 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 For more information see: The purpose of the fellowship is research training leading to the successful completion of a PhD degree.  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:​ • Be comfortable and capable working in an open, interactive, collaborative work environment  • An interest in collaborating beyond one’s own research discipline • The social responsibility and ethical awareness required to design, organize, and conduct user studies • Good communication and collaboration skills  • A positive attitude and the ability to handle hectic periods  • Prefer to be present at the workplace and actively contribute to the professional and social environment of SINLAB and MishMash 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) • Copies of the original Bachelor and Master’s degree diploma and transcripts of records • Letters of recommendation • Documentation of English proficiency if applicable • List of publications and academic work 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.

University of Oslo

About the position​ We invite applications for position as PhD 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 PhD Research Fellowship period at the University of Oslo. The place of work is Department of mathematics at Blindern Campus, Oslo. The position is associate with the newly established Norwegian Maritime AI Centre, a national initiative for research, innovation, and education in artificial intelligence for the maritime sector. Here you will work together with other 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. Modern vessels produce vast amounts of multivariate data streams. The project addresses the development of trustworthy statistical and machine learning methods for anomaly detection in such streaming data (time series), potentially extended to spatio‑temporal settings. The emphasis is on online, real‑time detection, which imposes strict constraints on the computational efficiency and latency of the detector. The candidate will develop generic, broadly applicable methods that can be adapted for monitoring the state, performance and health of maritime equipment and systems, as well as for maritime traffic surveillance.  The project will benefit from the anomaly detection research environment in the Norwegian Center for Knowledge‑driven Machine Learning (Integreat) and the ongoing project Statistical Methods for Online Detection of Anomalies (SODA), providing supervision and collaborators with expertise that spans from maritime applications to the derivation of theoretical guarantees. 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 statistics, mathematics, machine learning, computer science or a similar field • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system • Documented knowledge of statistical theory and methods and core machine learning methods  • Documented Python programming skills Desired qualifications:​ • Experience with change point detection and anomaly detection • Relevant experience with data from the maritime sector 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 For more information see: The purpose of the fellowship is research training leading to the successful completion of a PhD degree.  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 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 • Solution oriented 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, if applicable) • Copies of the original Bachelor and Master’s degree diploma and transcripts of records • Documentation of English proficiency if applicable • List of publications (if applicable) and academic work 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.