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Call for Research Trainee at the Centre for Biomedical Computing

Simula Research Laboratory AS

Martin Linges vei 17

Simula Research Laboratory AS is a publicly owned research institute located outside Oslo, Norway. It is a multi-cultural organization, employing about 150 individuals from 30 countries. Simula is conducting 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 commercialisation.

Call for Research Trainee at the Centre for Biomedical Computing

Project Description
We are advertising 1 Research Trainee position for a term of up to 1 year at the Center for Biomedical Computing, hosted by Simula Research Laboratory, Norway. The position is available within the project "Models and Algorithms for Dictionary Learning from Incomplete High-DimensionalData" under the supervision of Dr. Valeriya Naumova, Simula Research Laboratory, and Dr. Karin Schnass, Department of Mathematics, University of Innsbruck, Austria.

With more than 300 million photos uploaded to Facebook each day, and the 800GB of data that the large Hadron collider records per second, or the 320.000GB per second it cannot record, it is clear that we have reached the age of big data. This increase data however has not been matched by our ability to extract and interpret significant information. The analysis of complex data sets is an emerging and challenging area within applied mathematics, at the boundary with other scientific disciplines such as computer science, engineering, signal processing, medicine, etc.

Within data processing, some of the most promising strategies are based on the concept of sparsity, i.e., the low complexity of even high-dimensional data when represented in a suitable frame or dictionary. This project will explore fundamental questions on how to automatically learn a dictionary, thus providing a sparse representation for a given data class, known as dictionary learning or sparse coding. The project aims to provide a deeper theoretical understanding of dictionary learning and to develop efficient and stable learning algorithms for high-dimensional data in the following two scenarios
Dictionary learning from noisy high-dimensional data with applications in inverse problems in image processing (e.g., image inpainting and denoising);
Dictionary learning from incomplete real-life high-dimensional data with application to blood glucose prediction in diabetes patients.

The project sits at the intersection between mathematics, signal processing and machine learning. The main tools come from sparse approximation, geometric functional analysis (concentration of measure), harmonic analysis and optimisation.

The project will be conducted under the supervision of Dr. Valeriya Naumova at the Biomedical Computing Department at Simula Research Laboratory, in close collaboration with the research group of Dr. Karin Schnass, Department of Mathematics, University of Innsbruck, Austria. The project is connected to the most lively research activity on dictionary and machine learning, compressed sensing; currently done in Europe.

Research Environment
The Center for Biomedical Computing, a Norwegian Center of Excellence, hosted by the Biomedical Computing Department at Simula Research Laboratory, Norway, aims to develop and apply novel simulation technologies to reach new understanding of complex physical processes affecting human health. The Center research is strongly multi-disciplinary, with teams of experts in physical modeling, mathematics, numerical methods, scientific software development, bioengineering, medical research, and clinical treatment. The department is a driving force behind the development of the FEniCS Project (, a collaborative project for the development of innovative concepts and tools for automated scientific computing, with a particular focus on automated solution of differential equations by finite element methods.

Candidate Profile
We consider interested candidates who have concluded their Master studies in Mathematics or Computer Science, also from pure subjects, with best marks, and a strong background in on or more of the following fields approximation theory, functional analysis, optimisation, machine learning, harmonic analysis, an familiarity with programming in Matlab or Python.

The candidate will also have to demonstrate a excellent level of spoken and written English, prosess good interpersonal skills and show willingness to work as part of an international team.

Simula Offers
A highly dynamic and motivated team of international researchers and engineers.
Offices are a 15-minute drive or short boat trip from the centre of Oslo.
An informal and inclusive international working environment.
Professional courses and workshops led by international experts on topics such as Communication of Scientific Research, Innovation and Entrepreneurship, and Writing Effective Research Proposals.
A competitive salary.

Simula strives to achieve a good balance between male and female employees, and women are particularly encouraged to apply.

Application Requirements
Candidates are invited to apply, by electronically submitting a motivation letter, curriculum vitae et studiorum, including a copy of the Master thesis and 2 letters of recommendation (one from the Master thesis supervisor). 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 send us.

The starting date is at the earliest convenience (negotiable), but indicatively not later than April 1, 2016. Application deadline: March 1, 2016, or until filled. This advertisement will remain online until the position is filled.

Enquiries regarding the position and the applications should be directed to Dr. Valeriya Naumova (

Stillingsnummer: 0219-2016-01-171 (Oppgis ved kontakt med NAV)Kilde: Fra Eures



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