PhD Research Fellow in Computational Nuclear Physics and Reactor Simulations

University of Oslo

About the position​ We invite applications for position as PhD Research Fellow in Fluid Mechanics 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. 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 Mechanics Section (Section 1). The section engages in theoretical, experimental and numerical fluid mechanics. This includes technology for the green transition, marine hydrodynamics, hydrodynamic waves, and continuum mechanics. This project focuses on detecting underwater acoustics using AI methodologies. Additionally, CFD simulations combined with physics-informed machine learning will also be examined. Several research and industrial partners are a part of this project. The ideal candidate would combine strong computational skills with domain knowledge in either acoustics or fluid mechanics, plus demonstrated ability to apply AI/ML methods to physical problems. 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 fluid mechanics, applied mathematics or physics • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system  • Fluent oral and written communication skills in English Desired qualifications:​ • Relevant experience in marine technology and AI will be advantageous  • Knowledge about high performance computing and computational fluid dynamics (CFD) • Knowledge about physics-informed neural networks (PINNs) 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) • Copies of the original Bachelor and Master’s degree diploma and transcripts of records • 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.

Division for technology and Innovation (TIK), The Intervention Centre, Section for Medical Information and Communication Technology Oslo University Hospital HF

Technology and Innovation Clinic (TIK), The Intervention Centre (see: http://www.ivs.no), Section for Medical Information and Communication Technology at Oslo University Hospital offers a full-time PhD Fellowship. The recruited PhD Fellow will be part of the Wireless Sensor Network Research Group (https://ous-research.no/balasingham/) of Professor Ilangko Balasingham and will be enrolled in the PhD program at the University of Oslo. About the Position ​​ The fellowship is part of the research initiative “Meaning-Centric Bio-Inspired Communication Systems (SENSUS)” - a project fundedd by the Research Council of Norway with an award of 12 MNOK. This project is conducted by a cross-disciplinary supervisory team from the Intervention centre (IVS), Oslo University Hospital (Rikshospitalet), and collaborating research groups in the Oslo University Hospital (Radiumhospitalet), Germany and Denmark. The SENSUS project challenges the traditional notion that communication quality is defined only by accuracy. Instead, it explores a meaning-centric, bio-inspired paradigm for intra-body biomedical applications, including validation of theories for drug delivery. About the PhD project​ The PhD project explores the development and implementation of an information- and communication theoretical framework for bio-inspired intra-body communication systems by introducing a semantic layer that enables goal-oriented molecular messaging. This would include: • Developing a physics-informed, diffusion-based models that capture how biological signals propagate across space and time, providing a realistic representation of physiological processes. • Embedding emerging semantic information theory concepts into the modeling framework, enabling more meaningful performance evaluation beyond traditional metrics. • Applying the framework to real-world data (e.g., from prostate cancer treatment using extracellular vesicle–based drug delivery), with the aim of improving therapeutic optimisation beyond conventional pharmacokinetic/pharmacodynamic approaches. • Developing and sharing open-source tools and practical guidelines to support adoption of semantic information theory in biomedical ICT. Oslo University Hospital is a workplace with great diversity. We believe this is crucial for solving our tasks in the best possible way. We want this diversity to be reflected among the applicants for our positions, and we encourage all qualified candidates, regardless of background, to apply! Arbeidsoppgaver​ Responsibilities​ ​The PhD candidate will: • Develop, implement, and refine physics-informed computational models of bio-inspired communication systems • Conduct research in semantic information theory for bio-inspired communication systems • Apply the established theoretical models to experimental datasets • Contribute to scientific publications and collaborative research activities Contact Information ​ • ​Main supervisor: Dr. Mladen Veletić, mlavel@ous-hf.no, The Intervention Centre, Oslo University Hospital • Co-supervisors: • Prof. Ilangko Balasingham, i.s.balasingham@ous-research.no • Dr. Mohammad Zoofaghari, mohzoo@ous-hf.no, The Intervention Centre, Oslo University Hospital • Prof. Alicia Llorente, a.l.martinez@medisin.uio.no, Inst. Cancer Research, Oslo University Hospital Kvalifikasjoner (overskrift)​ Qualifications ​ Required Qualifications​ • MSc degree in Electrical Engineering, Computer Science, Applied Mathematics, Biomedical Engineering, Physics, or a closely related discipline (120 ECTS), including a thesis • BSc degree (180 ECTS) • Strong academic performance (minimum grade B; A preferred)  Master’s thesis graded B or better (Norwegian system or equivalent) • Strong background in:            • Communication and information theory, differential equations, probability/statistics, and numerical methods, with experience in computational modelling or simulation.            • Programming skills in Python and/or MATLAB. ​ Perferred Qualifications​ • Familiarity with biological systems, biophysics, or medical data (e.g., drug delivery, cell biology, or physiological modelling) is an advantage • Publication record is an advantage • Language Requirements • Applicants who are not proficient in a Scandinavian language must document English proficiency through one of the following:                • TOEFL: ≥ 600 (paper-based) or ≥ 92 (internet-based)                • IELTS (Academic): ≥ 6.5 (no section below 5.5)                 • ambridge CAE/CPE: Grade A or B   ​Personal Qualities​ • ​Ability to work independently and collaboratively • Structured, precise, and adaptable working style • Strong communication and teamwork skills • Positive attitude and ability to manage a dynamic work environment High level of professionalism and work ethic ​ We Offer​ • A stimulating and internationally oriented research environment • A collaborative and inclusive workplace • Membership in the Norwegian Public Service Pension Fund • Family-friendly surroundings with excellent cultural and outdoor opportunities in Oslo • Employee benefits (e.g., professional development programs) Salary​ • NOK 550,800 – 595,000 per year (depending on qualifications) • 2% pension contribution deducted • Salary stated before tax Kontaktinformasjon​Mladen Veletic , Project Leader, main supervisor, 46632160, mladen.veletic@ous-hf.no Ilangko Balasingham, Professor, Head of Section for Medical ICT Research, ilangko.balasingham@ous-research.no Arbeidssted​Sognsvannsveien 20 0372 Oslo Nøkkelinformasjon:​Arbeidsgiver: Oslo universitetssykehus HF Referansenr.: 5149487778 Stillingsprosent: 100% Engasjement Søknadsfrist: 02.08.2026