Phd Scholarship
Stillingsannonsen er inaktiv.Sektor Material- og Prosessteknologi, Institutt for energiteknikk (IFE)
Instituttveien 18, 2007 Kjeller
Org. nr: - Stillingsident: 4241750572 Presentasjon av stillingen:
The position is at the department of Computational Materials Processing at IFE and in collaboration with the University of Oslo (UiO). The topic of the work will be within the field of Reduced Order Modelling (ROM) for creating digital twins of industrial processes.
The department of Computational Materials Processing (MatPro) conducts research and development on industrial processes, reactors and devices based on mathematical modelling of the underlying physical and natural phenomena. Numerical methods, especially the Finite Element Method, are important tools employed by the department. The department has more than 30 years of experience with the Finite Element Method and we have developed our own mathematical models in various projects with national and international industries. Our tools are used worldwide.
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. The group “Mechanics” at the Department of Mathematics conducts research in applied, experimental, theoretical and computational mechanics with a focus on fluid mechanics. Of particular relevance to this call is the groups work on the software library FEniCS, a finite element library with an international user and developer base and its reduced order toolbox RBniCS.
Work tasks
The candidate will become an expert on reduced order modelling for complex material processes, and the project can encompass both ambitious applications of existing methods as well as development of new or improved methods. UiO’s strong background within numerical analysis and academic scientific software is complemented by IFE’s strong domain knowledge and our specialized software for industrial material processing. The combined backgrounds of the supervisors form a solid foundation for a project with both high academic value and relevance in an industrial setting.
The Ph.D. student will work in close collaboration with researchers at the department of Computational Materials Processing at IFE as well as the supervisor and fellow graduate students at the Division of Mechanics, UiO. The main work location will be at IFE’s premises at Kjeller, Norway, but the candidate is also expected to work from the UiO campus at regular intervals. It will also be possible for the candidate to visit world leading research facilities, for instance in Italy.
Models based on finite elements or other Computational Fluid Dynamics (CFD) methods are generally too time consuming to be used directly as a digital twin for industrial processes. ROM is a technique to compute an output several orders of magnitudes faster than by solving the Partial Differential Equations (PDEs) involved. The PDEs still needs to be solved, but this is done in an offline phase when the ROM is constructed. Reduced order modelling relies on a mathematical approach to generate a smaller, faster model that mimics the full order model (FOM) rather than introducing assumptions to simplify the problem. Examples of reduced order modelling techniques include the Reduced Basis method, Proper Orthogonal Decomposition, Galerkin projection, multi-dimensional data regression and interpolation (e.g. radial basis functions and Smolyak methods), and deep learning.
The department of Computational Materials Processing works closely with Norwegian and international industry. We develop mathematical models for a wide range of material processing industries, such as aluminium electrolysis, casting/crystallization, welding, 3D-printing, solar modules and reactors for silicon production and CO2-capturing. The project will focus on using/adapting/developing non-intrusive ROM methods suitable for real-time digital twins of diverse material processes, and specifically on researching and improving the reliability and generalizability of the method. The target industrial application(s) and the ROM method(s) used, will be chosen by the candidate in close collaboration with the supervisors.
Duties and responsibilities
The Ph.D. candidate will be involved in tasks related to non-intrusive reduced order modelling method(s) for complex material processes, to characterize and improve ROM modelling algorithm efficiency and prediction accuracy, and to demonstrate the application of ROM in a Digital Twin for an industrial material process.
Together with the supervisors, the candidate will try to answer questions such as:
- What is the best way to construct the reduced order basis for a wide range of models, including transient, non-linear, multiphysics and multiscale models?
- To setup a digital twin for a given industrial process, how do we choose the simulation set-up for the full order model so that we span the solution space in an optimal way?
- What are relevant quality criteria for the ROM in the context of strongly non-linear processes, such as solidification phenomena, and how can the approximation properties of the ROM best be characterized and optimized?
Qualifications
- MSc in physics, mechanics, materials science, cybernetics, mathematics, numerical methods or equivalent.
- Good background in numerical modelling and good programming skills
- Knowledge of data analysis and numerical algorithms for solving particle differential equation (PDE), the finite element method (FEM) in particular, is preferable
The norm for grade requirements 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
- English requirements for applicants from outside of EU/ EEA countries http://www.mn.uio.no/english/research/phd/application/application.html
Personal characteristics
- Good communication and presentation skills
- Teamworking skills
- Creativity, curiosity, and a drive to find the best solutions
We offer
- The Ph.D. position is for 3 years.
- After the completion of the Ph.D. period, we envisage to offer a PostDoc position followed by a permanent position to the candidate.
- A stimulating work environment with skilful, experienced, and creative colleagues.
- Well-established national and international scientific and industrial networks.
- A large degree of autonomy and flexible working hours.
- The salary is according to agreement.
- Social benefits including pension, life insurance and accident insurance.
We use background checks as a part of our recruitment process.
Kontaktinformasjon
Øyvind Jensen, Principal Scientist, 95919398, Oyvind.Jensen@ife.no
Kent-Andre Mardal, Professor, kent-and@math.uio.no
Dag Mortensen, Department head, 900 50 039, dag.mortensen@ife.no
Arbeidssted
Instituttveien 18
2007 Kjeller
Søk på stillingen:Klikk her
Nøkkelinformasjon:
Arbeidsgiver:Institutt for energiteknikk (IFE)
Referansenr.:4241750572
Stillingsprosent: 100%
Engasjement
Startdato: 20.08.2020
Sluttdato: 20.08.2023
Søknadsfrist: 08.06.2020
Om arbeidsgiveren
Arbeidsgiver
Sektor Material- og Prosessteknologi, Institutt for energiteknikk (IFE)
Adresse
Instituttveien 18, 2007 Kjeller
Forskning for en bedre fremtid.
IFE er et uavhengig forskningsinstitutt lokalisert på Kjeller og i Halden. Vi er internasjonalt ledende på en rekke områder innen fornybar energi, petroleums- og nukleærteknologi. IFE utvikler nye teknologiske løsninger for næringsliv og myndigheter i over 30 land. IFE er vertskap for det internasjonale OECD Haldenprosjektet. Vi er rundt 600 fast ansatte og omsetter for ca. 1 mrd kr. Les mer om IFE på www.ife.no
Sektor Material- og Prosessteknologi
Sektor Material- og Prosessteknologi forsker innen fornybare energisystemer, solenergi, batterier og hydrogen som fremtidens energibærere, nye energimaterialer og nanoteknologi, avansert nøytron materialkarakterisering samt miljøvennlige industriprosesser.
Som en del av denne satsingen er IFE vertskap for to av Norges åtte nye forskningssentre for Miljøvennlig Energi (FME-sentre), ” FME Research Centre for Sustainable Solar Cell Technology” (SuSolTech) og ”FME Mobility Zero Emission Energy Systems” (MoZEES).
Om stillingen
Antall stillinger
1
Oppstart
20. august 2020
Heltid/deltid
Heltid
Sektor
Ikke oppgitt
Sist endret: 9. juni 2020
Hentet fra: webcruiter
Referanse: 4241750572_Sektor Material- og Prosessteknologi, Institutt for energiteknikk (IFE)_webcruiter
Stillingsnummer: d69d2f3d-db30-4c95-aeee-e139bcc6ab62