About this role
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. 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