PhD candidate

Job title:

PhD candidate

Company

Institutt for energiteknikk (IFE)

Job description

About the positionAt the Applied Physical Sciences (APS) department of IFE, we lead research, development, and innovation in safety-critical applications, with a primary focus on the nuclear sector. Our expertise spans advanced technologies that enhance safety and efficiency in nuclear, energy, oil and gas, and other industries.
Our work includes creating digital twins of nuclear facilities, integrating physics simulations and AI for enhanced hazard assessment. We deploy mobile robots equipped with AI, sensors, and Building Information Modeling (BIM) for effective operations in nuclear environments.
We have capabilities in radiation physics modeling using deterministic and Monte Carlo tools for reactor modelling, human dose assessments and material radiation burden analysis. We are advancing multi-physics and physics-informed AI modeling to improve the accuracy of these estimates.
Our areas of interest include commissioning, decommissioning, safety assurance, waste management, and regulatory compliance. We also have extensive expertise in nuclear fuels and materials, focusing on performance testing under normal and emergency conditions.
Our projects enhance safety, optimize processes, and support sustainability, advancing global safety practices in the nuclear and other safety-critical industries.We are seeking a PhD fellow with the potential for future progression to a researcher role in the areas outlined above.Key informationApplication deadline:01.03.2025Employer:Institutt for energiteknikk (IFE)Town/city:HaldenTitle:PhD candidatePositions:1Full-time/part-time:Full-timeEmployment type:OtherPercentage of full-time:100Webcruiter ID:4887344146Social sharing :Duties and responsibilitiesWe are seeking a PhD candidate to join the Norwegian Nuclear Research Centre (NNRC) and contribute to groundbreaking research within Research Area 3, focusing on Nuclear Modelling. This position involves conducting reactor simulations and radiological modeling to advance radiation protection practices.The successful candidate will integrate diverse modeling approaches and connect them with comprehensive 3D models (digital twins). Participation in projects where research outcomes are directly applied to activities such as nuclear decommissioning, commissioning of new nuclear facilities, medical applications, and emergency preparedness will be essential.Collaborate with the NNRC team to define technical research topics under Research Area 3. Lead research efforts in coordination with the NNRC team and report to the principal investigator. Key topics include:

• Advancing fast deterministic radiation transport methods, integrating them with Monte Carlo models, and applying them to areas such as nuclear back-end processes, safety assessments for SMRs, target design, and related areas.
• Integrating novel AI and ML techniques with multi-physics methods for nuclear reactor modeling
• Applying developed tools for detailed studies of reactor physics, thermal-hydraulics phenomena, fuel cycle analysis, and fuel and core design optimization
• Engage in NNRC activities, including networking, mentoring students, and contributing to teaching
• Present research findings at national and international conferences to enhance visibility and expand the professional network
• Support relevant national and international initiatives
• Contribute to enhancing departmental competencies at APS
• Report findings and progress to the research manager of the department

Qualifications

• Demonstrated experience in Monte Carlo radiation transport modeling
• Proficiency or strong interest in deterministic radiation transport methods
• Expertise in reactor and source modeling
• Strong communication skills and ability to present and write scientific material effectively
• Preferably, readiness to manage research projects
• Strong aptitude for developing applied research and proposal writing
• Experience or interest in applied work within the application sector
• Preferably, skills or interest in AI, digital twins, and data science

Education Level:Master grade relevant for the above listed topics / skill requirementsLanguages:The position requires good knowledge in written and spoken EnglishPersonal QualitiesWe are looking for an enthusiastic, forthcoming person who enjoys working as part of a team.We offer

• IFE offers a high skill job in a motivating and multidisciplinary work environment and a wide international network
• Salary: Corresponding to Norwegian Research Council rates during the PhD period and based on the degree of experience and formal qualifications after (if employment is continued)
• Membership is established in the collective-group life-/accident insurance and in pension scheme
• Halden is a small town with a pleasant climate, located 120 km south of Oslo and has very favorable housing prices and unique opportunities for outdoor activities

We view diversity as a strength in our work. We therefore encourage all qualified candidates to apply regardless of age, gender, disability, sexual orientation, religion and ethnic background.We place great emphasis on your personal suitability for the position. IFE is subject to the National Security Act, and the candidate must be able to pass a background check and must be able to obtain security clearance and authorization.Address: Os alle, Halden, NorwayContactsIstvan SzökeResearch ManagerEmail: Istvan.Szoke@ife.noAbout the employerResearch for a better future
IFE conducts research for a better future. Since 1948, we have been a frontrunner in international energy research. We contribute to new solutions in renewable energy, petroleum and industry. We develop zero-emission transport solutions, digital systems and ground-breaking cancer medicine. IFE develops new solutions for the industry and public sector in over 30 countries. IFE is host to the international OECD NEA Halden Projects. We are about 650 employees and the annual turnover is about NOK 1 billion. Read more about IFE at

Expected salary

Location

Halden, Viken

Job date

Sat, 23 Nov 2024 01:00:38 GMT

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