SINTEF is one of Europe's largest research organisations, with multidisciplinary expertise in the fields of technology, the natural sciences and the social sciences. SINTEF is an independent foundation and has conducted contract research and development projects for the private and public sectors since 1950. SINTEF has 2000 employees from 75 countries and annual revenues of three billion Norwegian kroner..
Vision: Technology for a better society.
SINTEF Industri er med over 500 medarbeidere SINTEFs største institutt. Vi legger grunnlaget for fremtidens bærekraftige industri. Vi jobber med materialer, teknologier, prosesser og modeller som skal sette fart på grønn omstilling av norsk og europeisk næringsliv, gi oss nye medisiner, hjelpe verden å opprettholde levestandarden med lavere forbruk av energi og materialer og mye mer.
Scientist within machine learning on flow data
SINTEF is the largest independent research organisation in Scandinavia. Over the last 70 years, we have created value and innovation through knowledge generation and development of technological solutions that are brought into practical use. Today, SINTEF is a broadly based, multidisciplinary research institute with international top-level expertise in technology, medicine and the social sciences, striving to implement our vision, 'Technology for a better society'. SINTEF is non- profit, and all margin is re-invested into building state-of-the-art infrastructure and developing new research.
The Flow Technology research group works with reactive single and multi-phase flow and process related problems and challenges of interest to industry and society. Some of the current research topics include CCS, wind energy, metal production, electrolysis, bubble plumes, reactor technology, wave phenomena and more. The group consists of researchers with a background in applied CFD, chemical engineering, numerical methods, programming and experiments.
Job description:
We would like to strengthen our team with a scientist familiar with machine learning. The scientist is envisaged to work on analysis of flow and process data to create new models and enhance existing models. At first this will be applied to wind data related to harvest of wind energy.
We are looking for candidates with
A MSc or PhD within cybernetics, mathematics, physics, fluid dynamics or chemical engineering
Competence on machine learning
It also an advantage with experience within one or several of these topics:
Proper orthogonal decomposition (POD)
Dynamic mode decomposition (DMD)
Principal component analysis (PCA)
TensorFlow
Computational Fluid Dynamics
Chemical Engineering
Process simulations
Wind energy
The candidate should be highly committed to applied science, be able to work in teams and strive for excellence. Good skills in English (written and oral) are required. Skills in Norwegian are an advantage, but not a requirement. Candidates available to start the position early in 2022 might be given priority, and applicants may be processed and hired before the final application date.
We offer:
Great opportunities for professional and personal development in an organization that values responsibility and initiative
Participation in innovative national and international projects in close collaboration with industry
Competitive salary according to SINTEF's salary system and a framework for professional and personal development within SINTEF, flexible working hours, child day care facilities, good pension and insurance schemes
