PhD Research Fellow in Mathematical Modelling

PhD Research Fellow in mathematical modeling

The Department of Computer Science, Electrical Engineering and Mathematical Sciences at Western Norway University of Applied Sciences, has a vacancy for a research fellow in mathematical modeling within the project “From images to mathematical modelling and simulation of porous media flow” for a period of 4 years.

The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing. The research programme in Computer Science currently includes 20 professors and associate professors, more than 30 PhD and post-doctoral fellows, and a large number of master’s students.

The place of employment is campus Bergen or campus Førde. 

About the PhD project:

The candidate will participate in a project developing new mathematical and computational tools to determine porous material or tissue properties from imaging data. The project may see applications both within medical imaging as well as within geosciences. In both applications we will address the challenge of accurately estimating material/tissue properties by utilizing, and developing new, techniques from variational image analysis. By doing so, we aim to create a bridge between the mathematical understanding of flow in porous media and the concept of perfusion in medical imaging, and denoising and regularization in variational image analysis.

The first part of the project involves utilizing micro-scale information from images, including details at the image resolution limit. By applying image processing methods, such as denoising algorithms, the fine-scale information can be separated from the coarse-scale structures or objects. This fine-scale information then guides the development of a more realistic flow model for porous media, leading to improved estimation of substance-related parameters.

In addition, the project aims to incorporate flow models into the image processing itself. By simulating images based on the physical behavior of the imaged objects, a feedback loop between the model and the data can be established. This feedback can be utilized in parameter estimation or machine learning, enhancing the accuracy of determining material/tissue properties. To tackle the computational challenges associated with parameter estimation, special emphasis will be placed on developing efficient numerical solvers, such as splitting algorithms.

Overall, this PhD project seeks to advance the field of mathematical modeling by developing novel image analysis techniques and numerical methods to accurately determine material or tissue properties in flow through a wide range of porous materials. 

Research environment

The computer science research environment at Western Norway University of Applied Sciences has a strong focus on use-inspired and applied research, and on ICT as an enabling technology. The research environment has cooperation with many national and international research groups, and with national and regional industry partners. The research programme includes the research themes of software engineering, engineering computing, sensor networks and measurement technologies, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD candidate will work in close cooperation with our current PhD students within the PhD programme.

PhD research fellows receive an annual work expense funding which can be used for conference participation, research visits, and equipment. 

Qualifications:

The PhD research fellow must hold a master's degree in computer science, medical technology, applied mathematics, or in a closely related field. A solid background in one or more of the following fields are required:

• Numerical solution strategies for PDEs
• Mathematical modelling of flow in porous media
• Variational image analysis

Furthermore, experience within

• MRI processing with e.g. FreeSurfer or FSL,
• or parameter estimation/inverse modelling,

will be considered an advantage when candidates are ranked. Experience with scientific programming using Python, MATLAB, C++, Julia, or similar is a requirement. Candidates already holding a PhD within this field are not eligible for this position.

In addition to the required educational and scientific background, the following criteria will be evaluated: competence and grades on completed course work, quality of the master's thesis (excellent grade, equivalent of grade B or better on the ECTS grading system), publications (if any), research experience, practical programming skills and experience. The candidate will be expected to participate in teaching activities at basic bachelor and master level. Teaching experience and potential will be considered a strong advantage.   

The candidate must be diligent and display the ability to work independently, supplemented with regular guidance, and is expected to carry out high-quality research and to publish the results in international conferences, and journals. In addition, the candidate must have good skills in English, both written and orally. 

The PhD research fellow must enroll in the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing at Western Norway University of Applied Sciences and must meet the formal admission requirements for admission into the PhD programme. 25% of the 4-year period will be designated to duties such as teaching, development, and administrative tasks. The employment period may be reduced if the successful applicant has held previous employment as a research fellow. 

The PhD candidate will be assigned three academic supervisors at Western Norway University of Applied Sciences. An application for enrolment should first be submitted after an appointment is made and the supervisor will help with this procedure. The candidate must be enrolled as a PhD student within 3 months from the start of the employment.

Western Norway University of Applied Sciences is subjected to the regulation for export control system. The regulation might be applied in the processing of the applications.

Application procedure:

Applications will be evaluated by an expert panel of three members.

Applicants are asked to submit their application and CV online. Please use the link “Apply for this job” (“Søk stillingen”).

The following documentation should be uploaded as an attachment to the online application:

• Master thesis
• A short description of research interests and motivation for working within the current project
• Copies of selected academic publications (if any)
• Diplomas and certificates.

If the documents submitted are not in a Scandinavian language or in English, the applicants must submit certified translations of these. The transcripts must specify the topics, the course works, and the grades at the bachelor`s and master`s degree levels. 

Applicants with a degree from a country other than Norway, need to attach a certified translation of the diploma and transcripts of grades to English or a Scandinavian language, in addition to the original documents, if the original is not in any of these languages. It is required that the applicant encloses a recognition document showing that their degree is equivalent to a Norwegian bachelor’s degree, master’s degree, or PhD. You can read more about applying for recognition of foreign higher education here.

The Norwegian Directorate for Higher Education and Skills (HK-dir) offers an automatic recognition document for certain degrees from selected countries. If the applicant’s degree is covered by the automatic recognition, it will be sufficient to attach this document. Read more about automatic recognition here.

As the HK-dir application process may take some time it is recommended to apply to HK-dir as soon as possible. If you have not received a recognition document from HK- dir within the  application deadline, please enclose documentation from HK-dir showing that they have received your application.

Applicants should note that the evaluation will be based on the documentation submitted electronically via Jobbnorge within the submission deadline. The applicants are responsible for ensuring that all the documentation is submitted before the closing date. It is of utmost importance that all publications to be considered in the evaluation are uploaded as an attachment with the application, since these are sent electronically to the expert panel. Applications cannot be sent by e-mail or to individuals at HVL.

Salary:

• Good occupational pension, insurance and loan schemes from The Norwegian Public Service Pension Fund
• Exciting academic environment with the possibility of competence enhancement and development
• Opportunities for training within the working hours 

Initial salaries will be offered at grade 54 (code 1017) in the Civil Service pay grade table scale.

There is a compulsory 2 % deduction to the pension fund (see http://www.spk.no for more information). The successful applicant must comply with the guidelines that apply to the position at any time.

General information:

The appointment will be made in accordance with the regulations for State employees Law in Norway («Lov om statens ansatte)». Organizational changes and changes in the duties and responsibilities associated with the position must be expected.

State employment shall reflect the multiplicity of the population at large to the highest possible degree. Western Norway University of Applied Sciences Bergen has therefore adopted a personnel policy objective to ensure that we achieve a balanced age and gender composition and the recruitment of persons of various ethnic backgrounds.

Information about the applicant may be made public even though the applicant has requested not to be named in the list of applicants. The applicant will be notified if his/her request is not respected.

Short-listed applicants will be called in for an interview.

Employed on condition that you are granted a work and residence permit (must be considered individually).

Western Norway University of Applied Sciences is subjected to the regulation for export control system. The regulation will be applied in the processing of the applications. 

Inclusion, challenging norms, collaboration

Homepage

DIVERSE INFO

Kilde: NAV stillingsannonser
https://arbeidsplassen.nav.no/stillinger/stilling/7262d05a-1750-498a-ab78-5041c4f652b0
IMPORTAPI
https://www.jobbnorge.no/ledige-stillinger/stilling/270900