SINTEF is one of Europe’s largest research institutes, offering specialist multidisciplinary expertise in the fields of technology and the natural and social sciences. SINTEF is an independent foundation that since 1950 has generated innovation by means of research and development projects for the private and public sectors both in Norway and overseas.
SINTEF has 2,100 employees from 80 countries and an annual turnover of more than NOK three billion. SINTEF invests any profits into further research and innovation.
Computational Science & Engineering is a research group focused on the development of algorithms and solutions to computational problems. We develop simulation tools and open source software with particular focus on digital twins by applying state-of-the-art physics based modelling with modern machine learning techniques. Application areas include, but are not limited to aviation, offshore wind, ship hull and porous media.
Position Overview:
We are seeking a highly motivated and skilled Researcher to join our dynamic team. The ideal candidate will have a strong background in physics-based modeling, particularly in solving partial differential equations (PDEs) using finite element or finite volume methods. Additionally, expertise in accelerated computing techniques, including reduced order modeling, reduced basis methods, and machine learning, is essential for success in this role.
Key Responsibilities:
Conduct cutting-edge research in the field of Computational Science and Engineering.
Develop and implement physics-based models for simulating real-world phenomena.
Utilize finite element and finite volume methods to solve complex PDEs.
Investigate and apply accelerated computing techniques, such as reduced order modeling and reduced basis methods, to optimize simulations.
Explore machine learning algorithms and data-driven approaches for improving computational efficiency and accuracy.
Collaborate with cross-functional teams to address interdisciplinary research challenges.
Publish research findings in reputable journals and present at conferences.
Mentor and provide guidance to junior researchers and interns.
Your qualifications:
Ph.D. in Computational Science, Engineering, Physics, Applied Mathematics, or a related field.
Strong background in physics-based modelling and numerical methods, with expertise in solving PDEs using finite element or finite volume methods.
Proficiency in accelerated computing techniques, including reduced order modelling, reduced basis methods, and machine learning.
Experience with programming languages such as Python, MATLAB and/or C/C++.
Demonstrated ability to conduct independent research and drive projects to completion.
Excellent written and verbal communication skills.
Strong problem-solving and critical-thinking abilities.
A collaborative and team-oriented mindset.
We offer:
A position in one of Europe's leading research institutions, with considerable impact on society.
The opportunity to develop yourself professionally and personally in a recognized and competent research environment. This also include the possibility to combine research with PhD studies or Postdoc work.
A supportive and innovative work environment.
Access to state-of-the-art computing resources.
Engagement in cutting-edge research projects with real-world applications.
Becoming part of a network of scientists in SINTEF and with our partners
A dynamic and flexible working day
Comprehensive benefits package, including company pension- and insurance, flexible working hours, and competitive salary
How to Apply:
If you are passionate about computational science and engineering and eager to make a meaningful impact in a dynamic research environment, we encourage you to apply. Please submit your resume, a cover letter detailing your qualifications and research interests.
SINTEF is an equal opportunity employer. We welcome applications from individuals of all backgrounds and experiences.
Join us in creating technology for a better society! Apply today and be a part of our innovative research team.
