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PhD Student in High - Performance Computing for Simulation Ensembles
Call for PhD Student in High-Performance Computing for Simulation Ensembles
Simula Research Laboratory is seeking a PhD student to work in the SIRIUS Centre for Research-based Innovation, in the field of high-performance scientific computing, with a specific focus on optimizing simulation ensembles.
About the Position
Simula Research Laboratory AS
Simula Research Laboratory AS is a publicly owned research institute located at Fornebu
outside of Oslo, Norway. It is a multi-cultural organization, employing about 155 individuals from 35 countries. Simula conducts ICT research in the fields of communication technology, scientific computing and software engineering. Simula's main objective is to generate new understanding and create vital knowledge about fundamental scientific challenges that are of genuine value for society. This is achieved through high quality research, education of graduate students, industry collaboration, technology transfer and commercialization.
The SIRIUS Centre for Scalable Data Access in the Oil & Gas Domain (https://sirius-labs.no), is a Centre for Research-based Innovation (SFI) located at the University of Oslo. The centre started operations in 2016 and is funded by the Research Council of Norway. Partner companies include Equinor, Schlumberger, IBM, Evry, DNV-GL, Computas, Kadme, Numascale, Dolphin Interconnect, OSISoft, Aibel, TechnipFMC, Aker Solutions and SINTEF. Academic partners are the University of Oxford, Simula Research Laboratory and NTNU. The aim of the centre is to provide a vehicle for delivering industrially-relevant, innovative research through collaboration between the centre's partners and through associated projects. SIRIUS has a central role in the innovation ecosystem around the University of Oslo and the engineering, IT and oil companies in South-East Norway.
Simula Research Laboratory is seeking a PhD student to work in the field of high-performance scientific computing, with a specific focus on optimizing simulation ensembles that involve numerically solving partial differential equations. The contractual period is 3 years. The starting date is as soon as possible, no later than August 1, 2020.
The PhD project is a part of the SIRIUS centre. The project’s primary objective is to solve several correlated optimization problems in the context of simulation ensembles that involve numerically solving partial differential equaitons. It is to be achieved by applying multiple techniques including algorithmic optimization, code optimization, high-performance computing, performance prediction, dynamic tuning, job scheduling and machine learning. As secondary objectives, the PhD project aims to bring a synergy of researching and applying the related optimization techniques within the SIRIUS centre.
The host institute of the PhD project is Simula. The eX3 computing infrastructure (https://www.ex3.simula.no) hosted at Simula will be the main hardware testbed for this PhD project. Furthermore, the PhD student will spend time at the SIRIUS premises at the University of Oslo on a regular basis.
The PhD student is to enroll in the PhD program of University of Oslo, and obtain the PhD from University of Oslo upon completion.
The PhD student is expected to use modern techniques of high-performance computing and optimization, as well as the latest developments in HPC hardware and middleware, to enable efficient simulation ensembles that involve numerically solution of partial differential equations (PDEs). Possible research topics include (but not limited to)
- algorithmic optimization of the underlying numerical PDE-solving scheme;
- parallelization and code optimization of the numerical PDE solver;
- performance characterization, prediction and job schduling optimization for simulation ensembles that run on modern computer clusters;
- investigation of the applicability of machine learning techniques in the above topics.
The candidate must hold a master's degree (or equivalent education) in a subject of computational science or computer science. The candidate must have solid knowledge of numerical methods for solving PDEs, parallel computing and programming. Expertise with computational geoscience and/or machine learning is preferred. It is also expected that the candidate has good skills in scientific communication (both oral and written).
- Excellent opportunities for performing high quality research, as part of a highly competent and motivated team of international researchers and engineers;
- An informal and inclusive international working environment;
- Generous support for travel and opportunities to build international networks, through established collaboration with industry, exchange programs and research visits with other universities, and funding to attend conferences.
- Modern office facilities located at Fornebu by the Oslo fjord and 10 minutes’ drive from the center of Oslo.
- A competitive salary. Starting salary from NOK 479.600
- Numerous benefits: access to company cabin, BabyBonus arrangements, sponsored social events, generous equipment budgets (e.g., computer, phone and subscription), subsidized canteen meals and monthly bus pass, comprehensive travel/health insurance policy, etc.
- Relocation assistance: accommodation, visas, complimentary Norwegian language courses, etc
- Administrative research support: e.g., quality assurance process for grant proposals (including RCN and EU programs).
- Wellness and work-life balance. Our employees’ health and well-being is a priority and we encourage them to make use of our flexible work arrangements to help balance their work and home lives efficiently.
- Cover letter
- A statement justifying why he/she is qualified
- Curriculum Vitae or Resume (including a publication list if applicable) and two references
- Academic transcripts
Note that all attachments must be submitted in PDF format.
To avoid misplacement, please make sure to include your first and last name in the filenames of all documents that you submit to us.
The application deadline is March 31, 2020.
(Applications will be evaluated on a rolling basis. The position will be filled as soon as possible.)
Inquiries about the PhD student position can be made by email to:
According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
Simula Research Laboratory uses Semac’s background check in our recruitment process.